[ { "id": "boffi-2024-bagginghook", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/197699", "title": "BaggingHook: Selecting Moving Targets by Pruning Distractors Away for Intention-Prediction Heuristics in Dense 3D Environments", "date": "2024", "abstract": "Selecting targets in dense, dynamic 3D environments presents a significant challenge. In this study, we introduce two novel selection techniques based on distractor pruning to assist users in selecting targets moving unpredictably: BaggingHook and AutoBaggingHook. Both are built upon the Hook intention-prediction heuristic, which continuously measures the distance between the user's cursor and each object to compute per-object scores and estimate the intended target. Our techniques reduce the number of targets in the environment, making heuristic convergence potentially faster. Once pruned away, distractors are also made semi-transparent to reduce occlusion and the overall difficulty of the task. However, their motion is not altered, so that users can still perceive the dynamics of the environment. We designed two pruning approaches: BaggingHook lets users manually prune distractors away, while AutoBaggingHook uses automated, score-based pruning. We conducted a user study in a virtual reality setting inspired by molecular dynamics simulations, featuring crowded scenes of objects moving fast and unpredictably, in 3D. We compared both proposed techniques to the Hook baseline under more challenging circumstances than it had previously been tested. Our results show that AutoBaggingHook was the fastest, and did not lead to higher error rates. BaggingHook, on the other hand, was preferred by the majority of participants, due to the greater degree of control it provides to users, leading some to see entertainment value in its use. This work shows the potential benefits of varying the types of inputs used in intention-prediction heuristics, not just to improve performance, but also to reduce occlusion, overall task load, and improve user experience.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5365, 5366, 1110, 5367, 171 ], "booktitle": "2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)", "date_from": "2024-03-16", "date_to": "2024-03-21", "doi": "10.1109/VR58804.2024.00110", "event": "2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)", "isbn": "9798350374025", "lecturer": [ 5368 ], "location": "Orlando, FL", "pages": "11", "pages_from": "913", "pages_to": "923", "research_areas": [], "keywords": [ "Algorithms", "AR/VR/Immersive", "Human-Subjects Qualitative Studies", "Human-Subjects Quantitative Studies", "Interaction Design", "Mobile", "Specialized Input/Display Hardware" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/boffi-2024-bagginghook/", "__class": "Publication" }, { "id": "Alharbi_2021", "type_id": "journalpaper_notalk", "tu_id": 300116, "repositum_id": "20.500.12708/138522", "title": "Nanotilus: Generator of Immersive Guided-Tours in Crowded 3D Environments", "date": "2021-12-09", "abstract": "Immersive virtual reality environments are gaining popularity for studying and exploring crowded three-dimensional structures. When reaching very high structural densities, the natural depiction of the scene produces impenetrable clutter and requires visibility and occlusion management strategies for exploration and orientation. Strategies developed to address the crowdedness in desktop applications, however, inhibit the feeling of immersion. They result in nonimmersive, desktop-style outside-in viewing in virtual reality. This paper proposesNanotilus---a new visibility and guidance approach for very dense environments that generates an endoscopic inside-out experience instead of outside-in viewing, preserving the immersive aspect of virtual reality. The approach consists of two novel, tightly coupled mechanisms that control scene sparsification simultaneously with camera path planning. The sparsification strategy is localized around the camera and is realized as a multiscale, multishell, variety-preserving technique. When Nanotilus dives into the structures to capture internal details residing on multiple scales, it guides the camera using depth-based path planning. In addition to sparsification and path planning, we complete the tour generation with an animation controller, textual annotation, and text-to-visualization conversion. We demonstrate the generated guided tours on mesoscopic biological models -- SARS-CoV-2 and HIV viruses. We evaluate the Nanotilus experience with a baseline outside-in sparsification and navigational technique in a formal user study with 29 participants. While users can maintain a better overview using the outside-in sparsification, the study confirms our hypothesis that Nanotilus leads to stronger engagement and immersion.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 540, "image_height": 273, "name": "Alharbi_2021-Image.JPG", "type": "image/jpeg", "size": 46269, "path": "Publication:Alharbi_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1791, 1789, 1577, 1110, 1383, 1891, 1285, 166, 171 ], "doi": "10.1109/TVCG.2021.3133592", "first_published": "2021-12-09", "journal": "IEEE Transactions on Visualization and Computer Graphics", "open_access": "yes", "pages_from": "1", "pages_to": "16", "research_areas": [ "BioVis", "IllVis", "VR" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 540, "image_height": 273, "name": "Alharbi_2021-Image.JPG", "type": "image/jpeg", "size": 46269, "path": "Publication:Alharbi_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Alharbi_2021-Paper.pdf", "type": "application/pdf", "size": 14837965, "path": "Publication:Alharbi_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/", "__class": "Publication" }, { "id": "kouril-2021-molecumentary", "type_id": "journalpaper", "tu_id": 300120, "repositum_id": "20.500.12708/138523", "title": "Molecumentary: Adaptable Narrated Documentaries Using Molecular Visualization", "date": "2021-11-25", "abstract": "We present a method for producing documentary-style content using real-time scientific visualization. We introduce molecumentaries, i.e., molecular documentaries featuring structural models from molecular biology, created through adaptable methods instead of the rigid traditional production pipeline. Our work is motivated by the rapid evolution of scientific visualization and it potential in science dissemination. Without some form of explanation or guidance, however, novices and lay-persons often find it difficult to gain insights from the visualization itself. We integrate such knowledge using the verbal channel and provide it along an engaging visual presentation. To realize the synthesis of a molecumentary, we provide technical solutions along two major production steps: (1) preparing a story structure and (2) turning the story into a concrete narrative. In the first step, we compile information about the model from heterogeneous sources into a story graph. We combine local knowledge with external sources to complete the story graph and enrich the final result. In the second step, we synthesize a narrative, i.e., story elements presented in sequence, using the story graph. We then traverse the story graph and generate a virtual tour, using automated camera and visualization transitions. We turn texts written by domain experts into verbal representations using text-to-speech functionality and provide them as a commentary. Using the described framework, we synthesize fly-throughs with descriptions: automatic ones that mimic a manually authored documentary or semi-automatic ones which guide the documentary narrative solely through curated textual input.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 943, "image_height": 399, "name": "kouril-2021-molecumentary-overview.png", "type": "image/png", "size": 224541, "path": "Publication:kouril-2021-molecumentary", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-overview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383, 1789, 935, 1665, 960, 166, 171 ], "cfp": { "name": "TVCG_information_for_authors.pdf", "type": "application/pdf", "error": "0", "size": "220828", "orig_name": "TVCG_information_for_authors.pdf", "ext": "pdf" }, "date_from": "2021-11-15", "date_to": "2021-11-15", "doi": "10.1109/TVCG.2021.3130670", "event": "IEEE Vis 2022", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1383 ], "note": "To appear (Early Access)", "open_access": "yes", "pages_from": "1", "pages_to": "1", "volume": "1", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "Virtual tour", "audio", "biological data", "storytelling", "illustrative visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 943, "image_height": 399, "name": "kouril-2021-molecumentary-overview.png", "type": "image/png", "size": 224541, "path": "Publication:kouril-2021-molecumentary", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-overview:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kouril-2021-molecumentary-paper.pdf", "type": "application/pdf", "size": 25205347, "path": "Publication:kouril-2021-molecumentary", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/", "__class": "Publication" }, { "id": "Zeng_2021", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Data-Driven Colormap Adjustment for Exploring Spatial Variations in Scalar Fields", "date": "2021-09-01", "abstract": "Colormapping is an effective and popular visualization technique for analyzing patterns in scalar fields. Scientists usually adjust a default colormap to show hidden patterns by shifting the colors in a trial-and-error process. To improve efficiency, efforts have been made to automate the colormap adjustment process based on data properties (e.g., statistical data value or distribution). However, as the data properties have no direct correlation to the spatial variations, previous methods may be insufficient to reveal the dynamic range of spatial variations hidden in the data. To address the above issues, we conduct a pilot analysis with domain experts and summarize three requirements for the colormap adjustment process. Based on the requirements, we formulate colormap adjustment as an objective function, composed of a boundary term and a fidelity term, which is flexible enough to support interactive functionalities. We compare our approach with alternative methods under a quantitative measure and a qualitative user study (25 participants), based on a set of data with broad distribution diversity. We further evaluate our approach via three case studies with six domain experts. Our method is not necessarily more optimal than alternative methods of revealing patterns, but rather is an additional color adjustment option for exploring data with a dynamic range of spatial variations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 576, "image_height": 323, "name": "Zeng_2021-Image.JPG", "type": "image/jpeg", "size": 41637, "path": "Publication:Zeng_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1883, 1884, 1590, 1885, 1886, 171, 1887 ], "doi": "10.1109/TVCG.2021.3109014", "journal": "IEEE Transactions on Visualization and Computer Graphics", "open_access": "yes", "pages_from": "1", "pages_to": "15", "volume": "9", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 576, "image_height": 323, "name": "Zeng_2021-Image.JPG", "type": "image/jpeg", "size": 41637, "path": "Publication:Zeng_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Zeng_2021-Paper.pdf", "type": "application/pdf", "size": 23696916, "path": "Publication:Zeng_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/", "__class": "Publication" }, { "id": "Sarkis_2021", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/138952", "title": "Multiscale Unfolding: Illustratively Visualizing the Whole Genome at a Glance", "date": "2021-03", "abstract": "We present Multiscale Unfolding, an interactive technique for illustratively visualizing multiple hierarchical scales of DNA in a single view, showing the genome at different scales and demonstrating how one scale spatially folds into the next. The DNA’s extremely long sequential structure—arranged differently on several distinct scale levels—is often lost in traditional 3D depictions, mainly due to its multiple levels of dense spatial packing and the resulting occlusion. Furthermore, interactive exploration of this complex structure is cumbersome, requiring visibility management like cut-aways. In contrast to existing temporally controlled multiscale data exploration, we allow viewers to always see and interact with any of the involved scales. For this purpose we separate the depiction into constant-scale and scale transition zones. Constant-scale zones maintain a single-scale representation, while still linearly unfolding the DNA. Inspired by illustration, scale transition zones connect adjacent constant-scale zones via level unfolding, scaling, and transparency. We thus represent the spatial structure of the whole DNA macro-molecule, maintain its local organizational characteristics, linearize its higher-level organization, and use spatially controlled, understandable interpolation between neighboring scales. We also contribute interaction\ntechniques that provide viewers with a coarse-to-fine control for navigating within our all-scales-in-one-view representations and visual \naids to illustrate the size differences. Overall, Multiscale Unfolding allows viewers to grasp the DNA’s structural composition from \nchromosomes to the atoms, with increasing levels of “unfoldedness,” and can be applied in data-driven illustration and communication. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 797, "image_height": 289, "name": "Sarkis_2021-Image.JPG", "type": "image/jpeg", "size": 69327, "path": "Publication:Sarkis_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/Sarkis_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/Sarkis_2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1665, 1383, 1263, 166, 171, 960 ], "doi": "10.1109/TVCG.2021.3065443", "first_published": "2021-03-11", "journal": "IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS ", "open_access": "yes", "pages_from": "1", "pages_to": "13", "volume": "3", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 797, "image_height": 289, "name": "Sarkis_2021-Image.JPG", "type": "image/jpeg", "size": 69327, "path": "Publication:Sarkis_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/Sarkis_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/Sarkis_2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Sarkis_2021-Paper.pdf", "type": "application/pdf", "size": 17061748, "path": "Publication:Sarkis_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/Sarkis_2021-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/Sarkis_2021-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/", "__class": "Publication" }, { "id": "wu-2021-vi", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/138953", "title": "Visualization working group at TU Wien: Visibile Facimus Quod Ceteri Non Possunt", "date": "2021-03", "abstract": "Building-up and running a university-based research group is a multi-faceted undertaking. The visualization working group at TU Wien (vis-group) has been internationally active over more than 25 years. The group has been acting in a competitive scientific setting where sometimes contradicting multiple objectives require trade-offs and optimizations. Research-wise the group has been performing basic and applied research in visualization and visual computing. Teaching-wise the group has been involved in undergraduate and graduate lecturing in (medical) visualization and computer graphics. To be scientifically competitive requires to constantly expose the group and its members to a strong international competition at the highest level. This necessitates to shield the members against the ensuing pressures and demands and provide (emotional) support and encouragement. Internally, the vis-group has developed a unique professional and social interaction culture: work and celebrate, hard and together. This has crystallized into a nested, recursive, and triangular organization model, which concretizes what it takes to make a research group successful. The key elements are the creative and competent vis-group members who collaboratively strive for (scientific) excellence in a socially enjoyable environment.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2021-vi-image.png", "type": "image/png", "size": 37909, "path": "Publication:wu-2021-vi", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/wu-2021-vi-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/wu-2021-vi-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1170, 1366, 1285, 1383, 1263, 1577, 935, 1410, 171, 1110, 166 ], "doi": "https://doi.org/10.1016/j.visinf.2021.02.003", "journal": "Visual Informatics", "open_access": "yes", "pages_from": "76", "pages_to": "84", "volume": "5", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2021-vi-image.png", "type": "image/png", "size": 37909, "path": "Publication:wu-2021-vi", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/wu-2021-vi-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/wu-2021-vi-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2021-vi-paper.pdf", "type": "application/pdf", "size": 4057176, "path": "Publication:wu-2021-vi", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/wu-2021-vi-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/wu-2021-vi-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/", "__class": "Publication" }, { "id": "wu-2020-tvcg", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/140950", "title": "Multi-level Area Balancing of Clustered Graphs", "date": "2020-11-17", "abstract": "We present a multi-level area balancing technique for laying out clustered graphs to facilitate a comprehensive understanding of the complex relationships that exist in various fields, such as life sciences and sociology. Clustered graphs are often used to model relationships that are accompanied by attribute-based grouping information. Such information is essential for robust data analysis, such as for the study of biological taxonomies or educational backgrounds. Hence, the ability to smartly arrange textual labels and packing graphs within a certain screen space is therefore desired to successfully convey the attribute data . Here we propose to hierarchically partition the input screen space using Voronoi tessellations in multiple levels of detail. In our method, the position of textual labels is guided by the blending of constrained forces and the forces derived from centroidal Voronoi cells. The proposed algorithm considers three main factors: (1) area balancing, (2) schematized space partitioning, and (3) hairball management. We primarily focus on area balancing, which aims to allocate a uniform area for each textual label in the diagram. We achieve this by first untangling a general graph to a clustered graph through textual label duplication, and then coupling with spanning-tree-like visual integration. We illustrate the feasibility of our approach with examples and then evaluate our method by comparing it with well-known conventional approaches and collecting feedback from domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2020-tvcg-image.png", "type": "image/png", "size": 85239, "path": "Publication:wu-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 171 ], "doi": "https://doi.org/10.1109/TVCG.2020.3038154", "journal": "IEEE Transactions on Visualization and Computer Graphics (TVCG)", "open_access": "yes", "pages_from": "1", "pages_to": "15", "volume": "x", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [ "Graph drawing", "Voronoi tessellation", "multi-level", "spatially-efficient layout" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2020-tvcg-image.png", "type": "image/png", "size": 85239, "path": "Publication:wu-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2020-tvcg-paper.pdf", "type": "application/pdf", "size": 48103600, "path": "Publication:wu-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2020-tvcg-video.mov", "type": "video/quicktime", "size": 12802528, "path": "Publication:wu-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-video.mov", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-video:video.mp4" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/", "__class": "Publication" }, { "id": "Mazza_2020", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/140975", "title": "Homomorphic-Encrypted Volume Rendering", "date": "2020-10-13", "abstract": "Computationally demanding tasks are typically calculated in dedicated data centers, and real-time visualizations also follow this trend. Some rendering tasks, however, require the highest level of confidentiality so that no other party, besides the owner, can read or see the sensitive data. Here we present a direct volume rendering approach that performs volume rendering directly on encrypted volume data by using the homomorphic Paillier encryption algorithm. This approach ensures that the volume data by using the homomorphic Paillier encryption algorithm. This approach ensures that the volume data and rendered image are uninterpretable to the rendering server. Our volume rendering pipeline introduces novel approaches for encrypted-data compositing, interpolation, and opacity modulation, as well as simple transfer function design, where each of these routines maintains the highest level of privacy. We present performance and memory overhead analysis that is associated with our privacy-preserving scheme. Our approach is open and secure by design, as opposed to secure through obscurity. Owners of the data only have to keep their secure key confidential to guarantee the privacy of their volume data and the rendered images. Our work is, to our knowledge, the first privacy-preserving remote volume-rendering approach that does not require that any server involved be trustworthy; even in cases when the server is compromised, no sensitive data will be leaked to a foreign party.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1871, "image_height": 757, "name": "Mazza_2020-image.JPG", "type": "image/jpeg", "size": 151232, "path": "Publication:Mazza_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/Mazza_2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/Mazza_2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1035, 616, 171 ], "cfp": { "name": "Papers - IEEE VIS 2020.pdf", "type": "application/pdf", "error": "0", "size": "954206", "orig_name": "Papers - IEEE VIS 2020.pdf", "ext": "pdf" }, "date_from": "2020-01-10", "date_to": "2020-10-13", "doi": "10.1109/TVCG.2020.3030436", "event": "IEEE VIS (SciVis) 2020 conference", "first_published": "2020-10-13", "journal": "IEEE Transactions on Visualization andComputer Graphics", "lecturer": [ 1035 ], "open_access": "yes", "pages_from": "1", "pages_to": "10", "volume": "27", "research_areas": [ "MedVis" ], "keywords": [ "Volume Rendering, Transfer Function, Homomorphic-Encryption, Paillier" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1871, "image_height": 757, "name": "Mazza_2020-image.JPG", "type": "image/jpeg", "size": 151232, "path": "Publication:Mazza_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/Mazza_2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/Mazza_2020-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Mazza_2020-Paper.pdf", "type": "application/pdf", "size": 1728814, "path": "Publication:Mazza_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/Mazza_2020-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/Mazza_2020-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/", "__class": "Publication" }, { "id": "miao_nar_2020", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/141025", "title": "Adenita: interactive 3D modelling and visualization of DNA nanostructures", "date": "2020-07", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1229, "preview_image_height": 579, "name": "miao_nar_2020-.pdf", "type": "application/pdf", "size": 1444761, "path": "Publication:miao_nar_2020", "preview_name": "miao_nar_2020-:preview.png", "preview_type": "image/png", "preview_size": 391675, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/miao_nar_2020-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/miao_nar_2020-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1474, 1263, 1471, 1774, 1775, 171, 1473 ], "doi": "10.1093/nar/gkaa593", "journal": "Nucleic Acids Research", "research_areas": [ "BioVis", "IllVis", "Modeling" ], "keywords": [], "weblinks": [ { "href": "https://academic.oup.com/nar/article-pdf/doi/10.1093/nar/gkaa593/33517747/gkaa593.pdf", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1229, "preview_image_height": 579, "name": "miao_nar_2020-.pdf", "type": "application/pdf", "size": 1444761, "path": "Publication:miao_nar_2020", "preview_name": "miao_nar_2020-:preview.png", "preview_type": "image/png", "preview_size": 391675, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/miao_nar_2020-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/miao_nar_2020-:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/", "__class": "Publication" }, { "id": "kouril-2020-hyperlabels", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "HyperLabels: Browsing of Dense and Hierarchical Molecular 3D Models", "date": "2020-02-24", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 255, "image_height": 189, "name": "kouril-2020-hyperlabels-image.JPG", "type": "image/jpeg", "size": 25538, "path": "Publication:kouril-2020-hyperlabels", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383, 960, 1248, 1746, 166, 171 ], "cfp": { "name": "Gmail - IEEE VIS 2020 - Call for Participation_ Papers; Workshops; Doctoral Colloquium.pdf", "type": "application/pdf", "error": "0", "size": "124288", "orig_name": "Gmail - IEEE VIS 2020 - Call for Participation_ Papers; Workshops; Doctoral Colloquium.pdf", "ext": "pdf" }, "date_from": "2020-02-24", "date_to": "2020-02-24", "doi": "10.1109/TVCG.2020.2975583", "event": "IEEE Vis 2020", "first_published": "2020-02-24", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1383 ], "note": "to appear", "open_access": "yes", "pages_from": "1", "pages_to": "12", "volume": "1", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 255, "image_height": 189, "name": "kouril-2020-hyperlabels-image.JPG", "type": "image/jpeg", "size": 25538, "path": "Publication:kouril-2020-hyperlabels", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "kouril-2020-hyperlabels-Paper.pdf", "type": "application/pdf", "size": 17304362, "path": "Publication:kouril-2020-hyperlabels", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/", "__class": "Publication" }, { "id": "Halladjian_2020", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/141411", "title": "ScaleTrotter: Illustrative Visual Travels Across Negative Scales", "date": "2020-01", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "scale_trotter", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 770, "image_height": 838, "name": "Halladjian_2020-scale_trotter.png", "type": "image/png", "size": 746352, "path": "Publication:Halladjian_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-scale_trotter.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-scale_trotter:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1665, 1263, 1383, 166, 171, 960 ], "date_from": "2019-10", "date_to": "2019-10", "event": "IEEE Vis 2019", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1665 ], "number": "1", "volume": "26", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Halladjian_2020-paper.pdf", "type": "application/pdf", "size": 14976666, "path": "Publication:Halladjian_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "scale_trotter", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 770, "image_height": 838, "name": "Halladjian_2020-scale_trotter.png", "type": "image/png", "size": 746352, "path": "Publication:Halladjian_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-scale_trotter.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-scale_trotter:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/", "__class": "Publication" }, { "id": "nguyen_2020-covid", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Modeling in the Time of COVID-19: Statistical and Rule-based Mesoscale Models", "date": "2020", "abstract": "We present a new technique for rapid modeling and construction of scientifically accurate mesoscale biological models. Resulting 3D models are based on few 2D microscopy scans and the latest knowledge about the biological entity represented as a set of geometric relationships. Our new technique is based on statistical and rule-based modeling approaches that are rapid to author, fast to construct, and easy to revise. From a few 2D microscopy scans, we learn statistical properties of various structural aspects, such as the outer membrane shape, spatial properties and distribution characteristics of the macromolecular elements on the membrane. This information is utilized in 3D model construction. Once all imaging evidence is incorporated in the model, additional information can be incorporated by interactively defining rules that spatially characterize the rest of the biological entity, such as mutual interactions among macromolecules, their distances and orientations to other structures. These rules are defined through an intuitive 3D interactive visualization and modeling feedback loop. We demonstrate the utility of our approach on a use case of the modeling procedure of the SARS-CoV-2 virus particle ultrastructure. Its first complete atomistic model, which we present here, can steer biological research to new promising directions in fighting spread of the virus.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2160, "image_height": 1824, "name": "nguyen_2020-covid-image.png", "type": "image/png", "size": 3574056, "path": "Publication:nguyen_2020-covid", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/nguyen_2020-covid/nguyen_2020-covid-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/nguyen_2020-covid/nguyen_2020-covid-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1788, 1789, 1285, 1791, 194, 1792, 935, 1260, 1365, 171 ], "date_from": "2020", "date_to": "2020 (to appear)", "event": "IEEE VIS 2020", "journal": "IEEE Transactions on Visualization and Computer Graphics", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2160, "image_height": 1824, "name": "nguyen_2020-covid-image.png", "type": "image/png", "size": 3574056, "path": "Publication:nguyen_2020-covid", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/nguyen_2020-covid/nguyen_2020-covid-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/nguyen_2020-covid/nguyen_2020-covid-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/nguyen_2020-covid/", "__class": "Publication" }, { "id": "klein_2019_PGG", "type_id": "journalpaper", "tu_id": 283953, "repositum_id": null, "title": "Parallel Generation and Visualization of Bacterial Genome Structures", "date": "2019-11", "abstract": "Visualization of biological mesoscale models provides a glimpse at the inner workings of living cells. One of the most complex components of these models is DNA, which is of fundamental importance for all forms of life. Modeling the 3D structure of genomes has previously only been attempted by sequential approaches. We present the first parallel approach for the instant construction of DNA structures. Traditionally, such structures are generated with algorithms like random walk, which have inherent sequential constraints. These algorithms result in the desired structure, are easy to control, and simple to formulate. Their execution, however, is very time-consuming, as they are not designed to exploit parallelism. We propose an approach to parallelize the process, facilitating an implementation on the GPU.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1534, "image_height": 782, "name": "klein_2019_PGG-teaser.png", "type": "image/png", "size": 2567699, "path": "Publication:klein_2019_PGG", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1285, 935, 1260, 1365, 1475, 166, 171 ], "cfp": { "name": "Capture.JPG", "type": "image/jpeg", "error": "0", "size": "167470", "orig_name": "Capture.JPG", "ext": "JPG" }, "date_from": "2019", "date_to": "2019", "doi": "10.1111/cgf.13816", "event": "Pacific Graphics 2109", "journal": "Computer Graphics Forum", "lecturer": [ 1285 ], "number": "7", "pages_from": "57", "pages_to": "68", "volume": "38", "research_areas": [ "BioVis", "IllVis", "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "klein_2019_PGG-paper.pdf", "type": "application/pdf", "size": 9192118, "path": "Publication:klein_2019_PGG", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1534, "image_height": 782, "name": "klein_2019_PGG-teaser.png", "type": "image/png", "size": 2567699, "path": "Publication:klein_2019_PGG", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/", "__class": "Publication" }, { "id": "wu-2019-visworkshop", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Graph Models for Biological Pathway Visualization: State of the Art and Future Challenges", "date": "2019-10-20", "abstract": "The concept of multilayer networks has become recently integrated into complex systems modeling since it encapsulates a very general concept of complex relationships. Biological pathways are an exam- ple of complex real-world networks, where vertices represent biolog- ical entities, and edges indicate the underlying connectivity. For this reason, using multilayer networks to model biological knowledge allows us to formally cover essential properties and theories in the field, which also raises challenges in visualization. This is because, in the early days of pathway visualization research, only restricted types of graphs, such as simple graphs, clustered graphs, and others were adopted. In this paper, we revisit a heterogeneous definition of biological networks and aim to provide an overview to see the gaps between data modeling and visual representation. The contribution will, therefore, lie in providing guidelines and challenges of using multilayer networks as a unified data structure for the biological pathway visualization.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-visworkshop-image.png", "type": "image/png", "size": 22606, "path": "Publication:wu-2019-visworkshop", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 171 ], "cfp": { "name": "Multilayer_Network_Visualization_Workshop_VIS_2019.pdf", "type": "application/pdf", "error": "0", "size": "508927", "orig_name": "Multilayer_Network_Visualization_Workshop_VIS_2019.pdf", "ext": "pdf" }, "event": "Vis 2019 Workshop", "lecturer": [ 1464 ], "location": "Canada", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [ "Graph drawing", "multilayer network", "biological pathway" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-visworkshop-image.png", "type": "image/png", "size": 22606, "path": "Publication:wu-2019-visworkshop", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2019-visworkshop-paper.pdf", "type": "application/pdf", "size": 252096, "path": "Publication:wu-2019-visworkshop", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/", "__class": "Publication" }, { "id": "li-2019-gdc", "type_id": "unknown", "tu_id": 282819, "repositum_id": null, "title": "World map of recipes", "date": "2019-09-19", "abstract": "This poster visualises the Meal Ingredients dataset with 151 international food recipes and their corresponding ingredients. The underlying graph layout in the image is automatically generated using a new multi-level force-based algorithm developed by the authors, but not yet published. The background flags were added manually to identify the countries from the data set. The algorithm aims to untangle mutually nested subgraphs by harmonizing the available space for the labels and improving edge visibility by duplicating high-frequency ingredient nodes. Ingredients occurring in multiple countries also receive at least one node per country. The idea is inspired by map diagrams, which often show the semantics enclosed by country boundaries. In our diagram, countries are represented by octolinear polygons, and are placed next to each other if they share many ingredients in their recipes. The actual placement of the countries by the algorithm is entirely data driven. As we can see, this design naturally gathers countries that are located on the same continent, due to the accessibility of the ingredients. The names of recipes are visualized using textual labels with sharp corners, and they are enclosed by the country polygon they belong to. Contrarily, ingredients are represented by textual labels with rounded corners. Moreover, ingredients are visually classified into common (pink) and special (blue) ingredients based on their frequency in the dataset. \nFor visually analyzing the data set, we can generate smoothed spanning trees along the boundaries of an (invisible) Voronoi diagram of all textual labels to connect identical nodes to visually integrate all copies of one ingredient. For example, we highlighted the ingredient \"soy sauce\", one of the most commonly used ingredients in Asia, to discover that it has spread to the UK as well. We can also perform visual queries for related recipes based on sharing rare ingredients. For example, the British dish \"steak and kidney pie\" is highlighted in green together with three blue spanning trees connecting all recipes related to that dish via at least one of its special (blue) ingredients.", "authors_et_al": false, "substitute": null, "main_image": { "description": "1st Place Award, Creative Topic-\"Meal Ingredients\", of the 28th Annual Graph Drawing Contest", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "li-2019-gdc-image.png", "type": "image/png", "size": 109353, "path": "Publication:li-2019-gdc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/li-2019-gdc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/li-2019-gdc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1698, 1699, 1579, 171, 1464 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "1st Place Award, Creative Topic-\"Meal Ingredients\", of the 28th Annual Graph Drawing Contest", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "li-2019-gdc-image.png", "type": "image/png", "size": 109353, "path": "Publication:li-2019-gdc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/li-2019-gdc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/li-2019-gdc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "li-2019-gdc-poster.pdf", "type": "application/pdf", "size": 1508060, "path": "Publication:li-2019-gdc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/li-2019-gdc-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/li-2019-gdc-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/", "__class": "Publication" }, { "id": "Sbardellati-2019-vcbm", "type_id": "inproceedings", "tu_id": 282838, "repositum_id": null, "title": "Interactive Exploded Views for Molecular Structures", "date": "2019-09-03", "abstract": "We propose an approach to interactively create exploded views of molecular structures with the goal to help domain experts in their design process and provide them with a meaningful visual representation of component relationships. Exploded views are excellently suited to manage visual occlusion of structure components, which is one of the main challenges when visualizing complex 3D data. In this paper, we discuss four key parameters of an exploded view: explosion distance, direction, order, and the selection of explosion components. We propose two strategies, namely the structure-derived exploded view and the interactive free-form exploded view, for computing these four parameters systematically. The first strategy allows scientists to automatically create exploded views by computing the parameters from the given object structures. The second strategy further supports them to design and customize detailed explosion paths through user interaction. Our approach features the possibility to animate exploded views, to incorporate ease functions into these animations and to display the explosion path of components via arrows. Finally, we demonstrate three use cases with various challenges that we investigated in collaboration with a domain scientist. Our approach, therefore, provides interesting new ways of investigating and presenting the design layout and composition of complex molecular structures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "Sbardellati-2019-vcbm-image.png", "type": "image/png", "size": 46683, "path": "Publication:Sbardellati-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1555, 1263, 1464, 166, 1473, 171 ], "booktitle": "Proceedings of the 9th Eurographics Workshop on Visual Computing for Biology and Medicine", "cfp": { "name": "vcbm2019.pdf", "type": "application/pdf", "error": "0", "size": "270183", "orig_name": "vcbm2019.pdf", "ext": "pdf" }, "event": "VCBM 2019", "lecturer": [ 1555 ], "pages_from": "103", "pages_to": "112", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "Sbardellati-2019-vcbm-image.png", "type": "image/png", "size": 46683, "path": "Publication:Sbardellati-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Sbardellati-2019-vcbm-paper.pdf", "type": "application/pdf", "size": 9377764, "path": "Publication:Sbardellati-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Sbardellati-2019-vcbm-video.mp4", "type": "video/mp4", "size": 164367569, "path": "Publication:Sbardellati-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-video:video.mp4" } ], "projects_workgroups": [ "BioNetIllustration", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/", "__class": "Publication" }, { "id": "wu-2019-vcbm", "type_id": "unknown", "tu_id": null, "repositum_id": null, "title": "Map of Metabolic Harmony", "date": "2019-09-03", "abstract": "As the human body is healthy when the\nmetabolic harmony is maintained, the human metabolic pathways are\ninterpretable when its visual representation is harmonized. We\ndeveloped an automatic approach to hierarchically decompose the screen\nspace to multiple functional regions and embed sub-pathways into their\ncorresponding regions to unveil complex metabolite relationships.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-vcbm-image.png", "type": "image/png", "size": 109418, "path": "Publication:wu-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 171 ], "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image-full", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 8878, "image_height": 6919, "name": "wu-2019-vcbm-image-full.png", "type": "image/png", "size": 15607607, "path": "Publication:wu-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image-full.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image-full:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-vcbm-image.png", "type": "image/png", "size": 109418, "path": "Publication:wu-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/", "__class": "Publication" }, { "id": "vitruvian_2019", "type_id": "journalpaper", "tu_id": 283956, "repositum_id": null, "title": "The Vitruvian Baby: Interactive Reformation of Fetal Ultrasound Data to a T-Position", "date": "2019-09", "abstract": "Three-dimensional (3D) ultrasound imaging and visualization is often used in medical diagnostics, especially in prenatal\nscreening. Screening the development of the fetus is important to assess possible complications early on. State of the art approaches involve taking standardized measurements to compare them with standardized tables. The measurements are taken\nin a 2D slice view, where precise measurements can be difficult to acquire due to the fetal pose. Performing the analysis in a\n3D view would enable the viewer to better discriminate between artefacts and representative information. Additionally making\ndata comparable between different investigations and patients is a goal in medical imaging techniques and is often achieved by\nstandardization. With this paper, we introduce a novel approach to provide a standardization method for 3D ultrasound fetus\nscreenings. Our approach is called “The Vitruvian Baby” and incorporates a complete pipeline for standardized measuring\nin fetal 3D ultrasound. The input of the method is a 3D ultrasound screening of a fetus and the output is the fetus in a standardized T-pose. In this pose, taking measurements is easier and comparison of different fetuses is possible. In addition to the\ntransformation of the 3D ultrasound data, we create an abstract representation of the fetus based on accurate measurements.\nWe demonstrate the accuracy of our approach on simulated data where the ground truth is known.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "vitruvian_2019-.pdf", "type": "application/pdf", "size": 1371768, "path": "Publication:vitruvian_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vitruvian_2019/vitruvian_2019-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/vitruvian_2019/vitruvian_2019-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1345, 1410, 171, 1694 ], "cfp": { "name": "For submitters - VCBM 2019.pdf", "type": "application/pdf", "error": "0", "size": "340448", "orig_name": "For submitters - VCBM 2019.pdf", "ext": "pdf" }, "date_from": "2019", "date_to": "2019", "doi": "10.2312/vcbm.20191245", "event": "Eurographics Workshop on Visual Computing for Biology and Medicine (2019)", "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine (2019)", "lecturer": [ 1345 ], "pages_from": "201", "pages_to": "205", "volume": "9", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "vitruvian_2019-.pdf", "type": "application/pdf", "size": 1371768, "path": "Publication:vitruvian_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vitruvian_2019/vitruvian_2019-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/vitruvian_2019/vitruvian_2019-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vitruvian_2019/", "__class": "Publication" }, { "id": "klein_2019_PMP", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/57947", "title": "Multi-Scale Procedural Animations of Microtubule Dynamics Based on Measured Data", "date": "2019-08", "abstract": "Biologists often use computer graphics to visualize structures, which due to physical limitations are not possible to imagewith a microscope. One example for such structures are microtubules, which are present in every eukaryotic cell. They are part ofthe cytoskeleton maintaining the shape of the cell and playing a key role in the cell division. In this paper, we propose a scientifically-accurate multi-scale procedural model of microtubule dynamics as a novel application scenario for procedural animation, which cangenerate visualizations of their overall shape, molecular structure, as well as animations of the dynamic behaviour of their growth anddisassembly. The model is spanning from tens of micrometers down to atomic resolution. All the aspects of the model are driven byscientific data. The advantage over a traditional, manual animation approach is that when the underlying data change, for instance dueto new evidence, the model can be recreated immediately. The procedural animation concept is presented in its generic form, withseveral novel extensions, facilitating an easy translation to other domains with emergent multi-scale behavior.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1706, "image_height": 770, "name": "klein_2019_PMP-image.jpg", "type": "image/jpeg", "size": 953504, "path": "Publication:klein_2019_PMP", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1285, 171, 166, 935 ], "cfp": { "name": "Call For Participation.pdf", "type": "application/pdf", "error": "0", "size": "356286", "orig_name": "Call For Participation.pdf", "ext": "pdf" }, "date_from": "2019", "date_to": "2019", "doi": "10.1109/TVCG.2019.2934612", "event": "IEEE VIS 2019", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1285 ], "number": "1", "pages_from": "622", "pages_to": "632", "volume": "26", "research_areas": [ "BioVis", "IllVis", "Modeling", "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1706, "image_height": 770, "name": "klein_2019_PMP-image.jpg", "type": "image/jpeg", "size": 953504, "path": "Publication:klein_2019_PMP", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "klein_2019_PMP-paper.pdf", "type": "application/pdf", "size": 3283919, "path": "Publication:klein_2019_PMP", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "suppl", "main_file": false, "use_in_gallery": false, "access": "public", "name": "klein_2019_PMP-suppl.pdf", "type": "application/pdf", "size": 229898, "path": "Publication:klein_2019_PMP", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-suppl.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-suppl:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/", "__class": "Publication" }, { "id": "miao_nantech_2019", "type_id": "poster", "tu_id": 283265, "repositum_id": null, "title": "Interactive Visual Analysis for the Design of DNA Nanostructures", "date": "2019-05-27", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 647, "preview_image_height": 918, "name": "miao_nantech_2019-.pdf", "type": "application/pdf", "size": 2548866, "path": "Publication:miao_nantech_2019", "preview_name": "miao_nantech_2019-:preview.png", "preview_type": "image/png", "preview_size": 470720, "url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/miao_nantech_2019-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/miao_nantech_2019-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 1474, 171, 1473 ], "date_from": "2019-05-27", "date_to": "2019-05-29", "event": "NANTECH 2019 – Nucleic Acid Nanotechnology: From Algorithmic Design to Biochemical Applications – Espoo, Finland", "research_areas": [ "BioVis", "IllVis", "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 647, "preview_image_height": 918, "name": "miao_nantech_2019-.pdf", "type": "application/pdf", "size": 2548866, "path": "Publication:miao_nantech_2019", "preview_name": "miao_nantech_2019-:preview.png", "preview_type": "image/png", "preview_size": 470720, "url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/miao_nantech_2019-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/miao_nantech_2019-:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/", "__class": "Publication" }, { "id": "wu-2019-bmc", "type_id": "journalpaper_notalk", "tu_id": 280645, "repositum_id": null, "title": "Metabopolis: Scalable Network Layout for Biological Pathway Diagrams in Urban Map Style", "date": "2019-05-15", "abstract": "Background\nBiological pathways represent chains of molecular interactions in biological systems that jointly form complex dynamic networks. The network structure changes from the significance of biological experiments and layout algorithms often sacrifice low-level details to maintain high-level information, which complicates the entire image to large biochemical systems such as human metabolic pathways.\n\nResults\nOur work is inspired by concepts from urban planning since we create a visual hierarchy of biological pathways, which is analogous to city blocks and grid-like road networks in an urban area. We automatize the manual drawing process of biologists by first partitioning the map domain into multiple sub-blocks, and then building the corresponding pathways by routing edges schematically, to maintain the global and local context simultaneously. Our system incorporates constrained floor-planning and network-flow algorithms to optimize the layout of sub-blocks and to distribute the edge density along the map domain. We have developed the approach in close collaboration with domain experts and present their feedback on the pathway diagrams based on selected use cases.\n\nConclusions\nWe present a new approach for computing biological pathway maps that untangles visual clutter by decomposing large networks into semantic sub-networks and bundling long edges to create space for presenting relationships systematically.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-bmc-image.png", "type": "image/png", "size": 107492, "path": "Publication:wu-2019-bmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 1673, 171 ], "doi": "http://doi.org/10.1186/s12859-019-2779-4", "journal": "BMC Bioinformatics", "number": "187", "pages_from": "1", "pages_to": "20", "volume": "20", "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [ "Biological pathways", "Graph drawing", "Mapmetaphor", "Orthogonallayout", "Floorplanning", "Edgerouting" ], "weblinks": [ { "href": "https://www.youtube.com/watch?v=AhWCIGTxqAg", "caption": "video", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-bmc-image.png", "type": "image/png", "size": 107492, "path": "Publication:wu-2019-bmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2019-bmc-paper.pdf", "type": "application/pdf", "size": 8528804, "path": "Publication:wu-2019-bmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/", "__class": "Publication" }, { "id": "wu-2019-report", "type_id": "techreport", "tu_id": 283365, "repositum_id": null, "title": "From Cells to Atoms - Biological Information Visualization (in Chinese)", "date": "2019-03-01", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1263, 171 ], "number": "TR-193-02-2019-1", "open_access": "no", "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://dl.ccf.org.cn/institude/institudeDetail?id=4320599515842560&_ack=1", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2019-report-paper.pdf", "type": "application/pdf", "size": 8399742, "path": "Publication:wu-2019-report", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-report/wu-2019-report-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-report/wu-2019-report-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-report/", "__class": "Publication" }, { "id": "waldin-2019-ccm", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Cuttlefish: Color Mapping for Dynamic Multi‐Scale Visualizations", "date": "2019-03", "abstract": "Visualizations of hierarchical data can often be explored interactively. For example, in geographic visualization, there are continents, which can be subdivided into countries, states, counties and cities. Similarly, in models of viruses or bacteria at the highest level are the compartments, and below that are macromolecules, secondary structures (such as α‐helices), amino‐acids, and on the finest level atoms. Distinguishing between items can be assisted through the use of color at all levels. However, currently, there are no hierarchical and adaptive color mapping techniques for very large multi‐scale visualizations that can be explored interactively. We present a novel, multi‐scale, color‐mapping technique for adaptively adjusting the color scheme to the current view and scale. Color is treated as a resource and is smoothly redistributed. The distribution adjusts to the scale of the currently observed detail and maximizes the color range utilization given current viewing requirements. Thus, we ensure that the user is able to distinguish items on any level, even if the color is not constant for a particular feature. The coloring technique is demonstrated for a political map and a mesoscale structural model of HIV. The technique has been tested by users with expertise in structural biology and was overall well received.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Multiple color zoom levels. ", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 509, "image_height": 447, "name": "waldin-2019-ccm-teaser.png", "type": "image/png", "size": 690229, "path": "Publication:waldin-2019-ccm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1339, 1110, 1189, 166, 1365, 1260, 1475, 171 ], "doi": "10.1111/cgf.13611", "journal": "Computer Graphics Forum", "number": "6", "pages_from": "150", "pages_to": "164", "volume": "38", "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [ "multiscale visualization", "illustrative visualization", "molecular visualization" ], "weblinks": [ { "href": "https://onlinelibrary.wiley.com/doi/10.1111/cgf.13611", "caption": "Open Access Article in Wiley Online Library", "description": null, "main_file": 1 } ], "files": [ { "description": "Multiple color zoom levels. ", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 509, "image_height": 447, "name": "waldin-2019-ccm-teaser.png", "type": "image/png", "size": 690229, "path": "Publication:waldin-2019-ccm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/", "__class": "Publication" }, { "id": "kouril-2018-LoL", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Labels on Levels: Labeling of Multi-Scale Multi-Instance and Crowded 3D Biological Environments", "date": "2019-01", "abstract": "Labeling is intrinsically important for exploring and understanding complex environments and models in a variety of domains. We present a method for interactive labeling of crowded 3D scenes containing very many instances of objects spanning multiple scales in size. In contrast to previous labeling methods, we target cases where many instances of dozens of types are present and where the hierarchical structure of the objects in the scene presents an opportunity to choose the most suitable level for each placed label. Our solution builds on and goes beyond labeling techniques in medical 3D visualization, cartography, and biological illustrations from books and prints. In contrast to these techniques, the main characteristics of our new technique are: 1) a novel way of labeling objects as part of a bigger structure when appropriate, 2) visual clutter reduction by labeling only representative instances for each type of an object, and a strategy of selecting those. The appropriate level of label is chosen by analyzing the scene's depth buffer and the scene objects' hierarchy tree. We address the topic of communicating the parent-children relationship between labels by employing visual hierarchy concepts adapted from graphic design. Selecting representative instances considers several criteria tailored to the character of the data and is combined with a greedy optimization approach. We demonstrate the usage of our method with models from mesoscale biology where these two characteristics-multi-scale and multi-instance-are abundant, along with the fact that these scenes are extraordinarily dense.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 580, "image_height": 416, "name": "kouril-2018-LoL-preview.png", "type": "image/png", "size": 528337, "path": "Publication:kouril-2018-LoL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-preview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-preview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383, 1246, 1248, 1464, 1379, 1365, 1475, 166, 171 ], "cfp": { "name": "IEEE VIS 2018.pdf", "type": "application/pdf", "error": "0", "size": "91184", "orig_name": "IEEE VIS 2018.pdf", "ext": "pdf" }, "date_from": "2018-11", "date_to": "2018-03", "doi": "10.1109/TVCG.2018.2864491", "event": "IEEE VIS", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1383 ], "location": "Berlin, Germany", "note": "SciVis Best Paper Honorable Mention", "open_access": "yes", "pages_from": "977", "pages_to": "986", "volume": "25", "research_areas": [], "keywords": [ "labeling", "multi-scale data", "multi-instance data" ], "weblinks": [ { "href": "https://www.youtube.com/watch?v=zqJmJfaLiDw", "caption": "Process video", "description": "Video showing the progress of the implementation of the method described in the paper.", "main_file": 0 }, { "href": "https://vimeo.com/303245396", "caption": "Conference Talk Recording", "description": "Recording of the talk delivered at IEEE VIS 2018 in Berlin", "main_file": 1 } ], "files": [ { "description": "Conference presentation of the paper", "filetitle": "LoL-conference-presentation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kouril-2018-LoL-LoL-conference-presentation.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 202678696, "path": "Publication:kouril-2018-LoL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-LoL-conference-presentation.pptx", "thumb_image_sizes": [] }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kouril-2018-LoL-paper.pdf", "type": "application/pdf", "size": 18362171, "path": "Publication:kouril-2018-LoL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 580, "image_height": 416, "name": "kouril-2018-LoL-preview.png", "type": "image/png", "size": 528337, "path": "Publication:kouril-2018-LoL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-preview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-preview:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1272, "image_height": 416, "name": "kouril-2018-LoL-teaser.png", "type": "image/png", "size": 1506129, "path": "Publication:kouril-2018-LoL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare", "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/", "__class": "Publication" }, { "id": "Miao_2019", "type_id": "journalpaper_notalk", "tu_id": 272339, "repositum_id": null, "title": "Multiscale Molecular Visualization", "date": "2019-01", "abstract": "We provide a high-level survey of multiscale molecular visualization techniques, with a focus on application-domain questions, challenges, and tasks. We provide a general introduction to molecular visualization basicsand describe a number of domain-specific tasks that drive this work. These tasks, in turn, serve as the generalstructure of the following survey. First, we discuss methods that support the visual analysis of moleculardynamics simulations. We discuss, in particular, visual abstraction and temporal aggregation. In the secondpart, we survey multiscale approaches that support the design, analysis, and manipulation of DNAnanostructures and related concepts for abstraction, scale transition, scale-dependent modeling, andnavigation of the resulting abstraction spaces. In the third part of the survey, we showcase approaches thatsupport interactive exploration within large structural biology assemblies up to the size of bacterial cells.We describe fundamental rendering techniques as well as approaches for element instantiation, visibilitymanagement, visual guidance, camera control, and support of depth perception. We close the survey with abrief listing of important tools that implement many of the discussed approaches and a conclusion thatprovides some research challenges in the field.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 323, "image_height": 240, "name": "Miao_2019-image.JPG", "type": "image/jpeg", "size": 32385, "path": "Publication:Miao_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 1285, 1383, 935, 1605, 166, 1248, 960, 171 ], "doi": "10.1016/j.jmb.2018.09.004.", "first_published": "2018-09", "journal": "Journal of Molecular Biology", "number": "31", "open_access": "no", "pages_from": "1049", "pages_to": "1070", "volume": "6", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "molecular visualization", "molecular dynamics", "modelitics", "DNA nanotechnology", "visual abstraction" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 323, "image_height": 240, "name": "Miao_2019-image.JPG", "type": "image/jpeg", "size": 32385, "path": "Publication:Miao_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Miao_2019-Paper.pdf", "type": "application/pdf", "size": 6728324, "path": "Publication:Miao_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/", "__class": "Publication" }, { "id": "klein_2019_MSA_Poster", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "A Multi-Scale Animation Framework for Biological Fibrous Structures", "date": "2019", "abstract": "Fibrous structures are ubiquitous in cell biology and play essential structural and functional roles in the life cycle of a cell. They are long polymers, such as DNA carrying genetic information, or filaments forming the cytoskeleton, crucial for cell division and maintaining the cell shape. In order to disseminate new findings of such structures to peers or a general audience, animated 3D models of these structures have to be created, as they are too small to be imaged with microscopes. However, this is a tedious task carried out by scientific animators, who manually create expressive visual representations of biological phenomena. In this work, we present a novel concept which simplifies the process of animating multi-scale procedural models of biological fibrous structures. In contrast with existing work in the domain of molecular visualization, our approach can also capture dynamics, which are important to show when communicating biological processes.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 900, "image_height": 1269, "name": "klein_2019_MSA_Poster-image.jpg", "type": "image/jpeg", "size": 642687, "path": "Publication:klein_2019_MSA_Poster", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/klein_2019_MSA_Poster-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/klein_2019_MSA_Poster-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1285, 171, 935 ], "doi": "https://doi.org/10.2312/eurp.20191149", "event": "EuroVis 2019", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "klein_2019_MSA_Poster-.pdf", "type": "application/pdf", "size": 87502421, "path": "Publication:klein_2019_MSA_Poster", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/klein_2019_MSA_Poster-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/klein_2019_MSA_Poster-:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 900, "image_height": 1269, "name": "klein_2019_MSA_Poster-image.jpg", "type": "image/jpeg", "size": 642687, "path": "Publication:klein_2019_MSA_Poster", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/klein_2019_MSA_Poster-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/klein_2019_MSA_Poster-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/", "__class": "Publication" }, { "id": "Konev-FCV2018", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Fast cutaway visualization of sub-terrain tubular networks", "date": "2018-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1333, "image_height": 753, "name": "Konev-FCV2018-image.jpg", "type": "image/jpeg", "size": 114614, "path": "Publication:Konev-FCV2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1205, 1380, 171, 1337, 877, 798 ], "doi": "https://doi.org/10.1016/j.cag.2018.07.004", "issn": "0097-8493", "journal": "Computers & Graphics", "number": "5", "open_access": "no", "pages": "25–35", "pages_from": "25", "pages_to": "35", "volume": "75", "research_areas": [ "IllVis", "Rendering" ], "keywords": [ "Cutaway visualization", "Procedural billboarding", "Subsurface networks" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1333, "image_height": 753, "name": "Konev-FCV2018-image.jpg", "type": "image/jpeg", "size": 114614, "path": "Publication:Konev-FCV2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/", "__class": "Publication" }, { "id": "koch_bernhard_2018-1", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Semantic Screen-Space Occlusion for Multiscale Molecular Visualization", "date": "2018-09", "abstract": "Visual clutter is a major problem in large biological data visualization. It is often addressed through the means of level of detail\nschemes coupled with an appropriate coloring of the visualized structures. Ambient occlusion and shadows are often used to\nimprove the depth perception. However, when used excessively, these techniques are sources of visual clutter themselves. In\nthis paper we present a new approach to screen-space illumination algorithms suitable for use in illustrative visualization. The\nillumination effect can be controlled so that desired levels of semantic scene organization cast shadows while other remain\nflat. This way the illumination design can be parameterized to keep visual clutter, originating from illumination, to a minimum,\nwhile also guiding the user in a multiscale model exploration. We achieve this by selectively applying occlusion shading based\non the inherent semantics of the visualized hierarchically-organized data. The technique is in principle generally applicable\nto any hierarchically organized 3D scene and has been demonstrated on an exemplary scene from integrative structural biology.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2120, "image_height": 734, "name": "koch_bernhard_2018-1-image.JPG", "type": "image/jpeg", "size": 371526, "path": "Publication:koch_bernhard_2018-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1604, 1383, 1285, 935, 171 ], "cfp": { "name": "Call for Papers – VCBM 2018.pdf", "type": "application/pdf", "error": "0", "size": "179394", "orig_name": "Call for Papers – VCBM 2018.pdf", "ext": "pdf" }, "date_from": "2018-09", "date_to": "2018-09", "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2120, "image_height": 734, "name": "koch_bernhard_2018-1-image.JPG", "type": "image/jpeg", "size": 371526, "path": "Publication:koch_bernhard_2018-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "koch_bernhard_2018-1-paper.pdf", "type": "application/pdf", "size": 9041724, "path": "Publication:koch_bernhard_2018-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "koch_bernhard_2018-1-video.mp4", "type": "video/mp4", "size": 76794010, "path": "Publication:koch_bernhard_2018-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/", "__class": "Publication" }, { "id": "Miao2018FDN", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "A Preview to Adenita: Visualization and Modeling of DNA Nanostructures", "date": "2018-06-08", "abstract": "We present Adenita, an open-source software that aims to provide an integrated in silico\ndesign toolkit for DNA Nanostructures. It facilitates the modular assembly of pre-existing\nand de novo designs, regardless of the used approach. Adenita is being developed in the\ncontext of the MARA project [1], a highly ambitious project aiming to produce a DNA\nnanorobot capable of targeted cell lyses. Currently, the existing design and visualization\ntools are insufficient to solve the specific challenges in our project. We aim to overcome\nthese limitations with Adenita, a new semi-automated approach that we are developing as\nthe MARA project advances. Adenita integrates visualizations [2] with user interactions and\nalgorithms in a semi-manual approach. At the core, we use a hierarchical data model that\nenables us to combine both a top-down (DAEDALUS [3]) and a bottom-up (caDNAno [4])\ndesign approach of the DNA Nanostructure. From the DNA data model, we create smooth\nvisualizations that depict the structure in multiple scales from its atomic details to a highlevel\ngeometric representation of the target shape. In addition, we employ different layouts\nfor the same structure [5]: 3D structural representations, 2D caDNAno-style diagrams, and\n1D display of the linear sequences. Creators enable the parametrized generation of\nstructural motifs, while Manipulators facilitate the advanced modifications of the structural\nproperties, such as connecting components and adding bridging strands. Analysis of the\ndesigns is still in a preliminary phase, but it already enables the straightforward estimation\nof distances and the melting temperatures [6] of binding regions. The first DNA\nnanostructures that we designed with the new tool are now under experimental evaluation.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 857, "image_height": 1242, "name": "Miao2018FDN-image.png", "type": "image/png", "size": 1074408, "path": "Publication:Miao2018FDN", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1474, 1263, 960, 166, 171, 1473 ], "cfp": { "name": "fdn2018_abstracts.pdf", "type": "application/pdf", "error": "0", "size": "3495981", "orig_name": "fdn2018_abstracts.pdf", "ext": "pdf" }, "date_from": "2018-06-06", "date_to": "2018-06-08", "event": "3rd Functional DNA Nanotechnology Workshop", "location": "Rome", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 857, "image_height": 1242, "name": "Miao2018FDN-image.png", "type": "image/png", "size": 1074408, "path": "Publication:Miao2018FDN", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 857, "preview_image_height": 1242, "name": "Miao2018FDN-Poster.pdf", "type": "application/pdf", "size": 2534428, "path": "Publication:Miao2018FDN", "preview_name": "Miao2018FDN-Poster:preview.png", "preview_type": "image/png", "preview_size": 1074408, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/", "__class": "Publication" }, { "id": "miao2018Dimsum", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "DimSUM: Dimension and Scale Unifying Maps for Visual Abstraction of DNA Origami Structures", "date": "2018-06", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3302, "image_height": 1884, "name": "miao2018Dimsum-Image.png", "type": "image/png", "size": 2858278, "path": "Publication:miao2018Dimsum", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 1474, 960, 166, 1473, 171 ], "date_from": "2017-06", "date_to": "2018-06", "event": "EuroVis Conference 2018", "journal": "Computer Graphics Forum", "lecturer": [ 1263 ], "location": "Brno, Czech Republic", "number": "3", "volume": "37", "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3302, "image_height": 1884, "name": "miao2018Dimsum-Image.png", "type": "image/png", "size": 2858278, "path": "Publication:miao2018Dimsum", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 3302, "preview_image_height": 1884, "name": "miao2018Dimsum-Paper.pdf", "type": "application/pdf", "size": 50814642, "path": "Publication:miao2018Dimsum", "preview_name": "miao2018Dimsum-Paper:preview.png", "preview_type": "image/png", "preview_size": 2858278, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Recording", "main_file": false, "use_in_gallery": false, "access": "public", "name": "miao2018Dimsum-Recording.mp4", "type": "video/mp4", "size": 236260449, "path": "Publication:miao2018Dimsum", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Recording.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Recording:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Recording:video.mp4" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 3302, "preview_image_height": 1884, "name": "miao2018Dimsum-Video.mp4", "type": "video/mp4", "size": 97832153, "path": "Publication:miao2018Dimsum", "preview_name": "miao2018Dimsum-Video:preview.png", "preview_type": "image/png", "preview_size": 2858278, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Video:video.mp4" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/", "__class": "Publication" }, { "id": "wu-2018-metabo", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "A Visual Comparison of Hand-Drawn and Machine-Generated Human Metabolic Pathways", "date": "2018-06", "abstract": "This poster abstract presents a visual comparison between three hand-drawn and one machine-generated human metabolic pathway diagrams. The human metabolic pathways, which describe significant biochemical reactions in the human body, have been increasingly investigated due to the development of analysis processes and are compiled into pathway diagrams to provide an overview of reaction in the human body. This complex network includes about 5,000 metabolites and 7,500 reactions, which are hierarchically nested and difficult to visualize. We collect and analyze well-known human metabolic pathway diagrams, and summarize the design choices of these diagrams, respectively. Together with a machine-generated diagram, we can understand the visual complexity of three hand-drawn and one machine-generated diagrams.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 566, "image_height": 800, "name": "wu-2018-metabo-image.png", "type": "image/png", "size": 677575, "path": "Publication:wu-2018-metabo", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 171 ], "cfp": { "name": "eurovis2018-poster.pdf", "type": "application/pdf", "error": "0", "size": "35735", "orig_name": "eurovis2018-poster.pdf", "ext": "pdf" }, "date_from": "2018-06-04", "date_to": "2018-06-08", "event": "EuroVis", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 566, "image_height": 800, "name": "wu-2018-metabo-image.png", "type": "image/png", "size": 677575, "path": "Publication:wu-2018-metabo", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-metabo-poster.pdf", "type": "application/pdf", "size": 85587001, "path": "Publication:wu-2018-metabo", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/", "__class": "Publication" }, { "id": "Furmanova_2018", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "COZOID: contact zone identifier for visual analysis of protein-protein interactions", "date": "2018-04", "abstract": "Background: Studying the patterns of protein-protein interactions (PPIs) is fundamental for understanding thestructure and function of protein complexes. The exploration of the vast space of possible mutual configurations ofinteracting proteins and their contact zones is very time consuming and requires the proteomic expert knowledge.Results:In this paper, we propose a novel tool containing a set of visual abstraction techniques for the guidedexploration of PPI configuration space. It helps proteomic experts to select the most relevant configurations andexplore their contact zones at different levels of detail. The system integrates a set of methods that follow and supportthe workflow of proteomics experts. The first visual abstraction method, the Matrix view, is based on customizedinteractive heat maps and provides the users with an overview of all possible residue-residue contacts in all PPIconfigurations and their interactive filtering. In this step, the user can traverse all input PPI configurations and obtain anoverview of their interacting amino acids. Then, the models containing a particular pair of interacting amino acids canbe selectively picked and traversed. Detailed information on the individual amino acids in the contact zones and theirproperties is presented in the Contact-Zone list-view. The list-view provides a comparative tool to rank the best modelsbased on the similarity of their contacts to the template-structure contacts. All these techniques are interactivelylinked with other proposed methods, the Exploded view and the Open-Book view, which represent individualconfigurations in three-dimensional space. These representations solve the high overlap problem associated withmany configurations. Using these views, the structural alignment of the best models can also be visually confirmed.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 223, "image_height": 172, "name": "Furmanova_2018-image.JPG", "type": "image/jpeg", "size": 15338, "path": "Publication:Furmanova_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1733, 1254, 166, 171, 1734, 1248 ], "doi": " 10.1186/s12859-018-2113-6", "first_published": "2018-04", "journal": "BMC Bioinformatics", "number": "19:125 ", "open_access": "yes", "pages_from": "1", "pages_to": "25", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 223, "image_height": 172, "name": "Furmanova_2018-image.JPG", "type": "image/jpeg", "size": 15338, "path": "Publication:Furmanova_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Furmanova_2018-Paper.pdf", "type": "application/pdf", "size": 5104732, "path": "Publication:Furmanova_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-Paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/", "__class": "Publication" }, { "id": "wu-2018-story", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "The Travel of a Metabolite", "date": "2018-04", "abstract": "Biological pathways are chains of molecule interactions and reactions in biological systems that jointly form complex, hierarchical networks. Although several pathway layout algorithms have been investigated, biologists still prefer to use hand-drawn ones, due to their high visual quality relied on domain knowledge. In this project, we propose a visualization for computing metabolic pathway maps that restrict the grouping structure defined by biologists to rectangles and apply orthogonal-style edge routing to simplify edge orientation. This idea is inspired by concepts from urban planning, where we consider reactions as city blocks and built up roads to connect identical metabolites occurred in multiple categories. We provide a story to present how glucose is broken down to phosphoenolpyruvate to release energy, which is often stored in adenosine triphosphate (ATP) in a human body. Finally, we demonstrate ATP is also utilized to synthesize urea to eliminate the toxic ammonia in our body.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2018-story-image.png", "type": "image/png", "size": 91891, "path": "Publication:wu-2018-story", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 171 ], "note": "submitted to PacificVis 2018 Data Story Telling Contest", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://vimeo.com/258174044", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2018-story-image.png", "type": "image/png", "size": 91891, "path": "Publication:wu-2018-story", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-story-paper.pdf", "type": "application/pdf", "size": 601059, "path": "Publication:wu-2018-story", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-story-video.mov", "type": "video/quicktime", "size": 15567398, "path": "Publication:wu-2018-story", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-video.mov", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-video:video.mp4" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/", "__class": "Publication" }, { "id": "polatsek-2018-stv", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Exploring visual attention and saliency modeling for task-based visual analysis", "date": "2018-02", "abstract": "Memory, visual attention and perception play a critical role in the design of visualizations. The way users observe a visualization is affected by salient stimuli in a scene as well as by domain knowledge, interest, and the task. While recent saliency models manage to predict the users’ visual attention in visualizations during exploratory analysis, there is little evidence how much influence bottom-up saliency has on task-based visual analysis. Therefore, we performed an eye-tracking study with 47 users to determine the users’ path of attention when solving three low-level analytical tasks using 30 different charts from the MASSVIS database [1]. We also compared our task-based eye tracking data to the data from the original memorability experiment by Borkin et al. [2]. We found that solving a task leads to more consistent viewing patterns compared to exploratory visual analysis. However, bottom-up saliency of a visualization has negligible influence on users’ fixations and task efficiency when performing a low-level analytical task. Also, the efficiency of visual search for an extreme target data point is barely influenced by the target’s bottom-up saliency. Therefore, we conclude that bottom-up saliency models tailored towards information visualization are not suitable for predicting visual attention when performing task-based visual analysis. We discuss potential reasons and suggest extensions to visual attention models to better account for task-based visual analysis.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "graphical abstract", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 591, "image_height": 584, "name": "polatsek-2018-stv-graphical abstract.png", "type": "image/png", "size": 193042, "path": "Publication:polatsek-2018-stv", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1545, 1110, 171, 1546, 1547 ], "doi": "https://doi.org/10.1016/j.cag.2018.01.010", "journal": "Computers & Graphics", "number": "2", "open_access": "no", "research_areas": [ "InfoVis", "Perception" ], "keywords": [ "Information visualization", "Eye-tracking experiment", "Saliency", "Visual attention", "Low-level analytical tasks" ], "weblinks": [ { "href": "https://www.sciencedirect.com/science/article/pii/S0097849318300104", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "graphical abstract", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 591, "image_height": 584, "name": "polatsek-2018-stv-graphical abstract.png", "type": "image/png", "size": 193042, "path": "Publication:polatsek-2018-stv", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "polatsek-2018-stv-paper.pdf", "type": "application/pdf", "size": 3228380, "path": "Publication:polatsek-2018-stv", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/", "__class": "Publication" }, { "id": "miao_tvcg_2018", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Multiscale Visualization and Scale-adaptive Modification of DNA Nanostructures", "date": "2018-01", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1640, "image_height": 951, "preview_image_width": 1640, "preview_image_height": 951, "name": "miao_tvcg_2018-image.png", "type": "image/png", "size": 1020459, "path": "Publication:miao_tvcg_2018", "preview_name": "miao_tvcg_2018-image:preview.png", "preview_type": "image/png", "preview_size": 1020459, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 1474, 1072, 1471, 1472, 960, 166, 1473, 171 ], "date_from": "2017-01-01", "date_to": "2017-12-10", "event": "IEEE Vis 2017", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1263 ], "number": "1", "volume": "24", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [ { "href": "https://vimeo.com/238853739", "caption": "VIS presentation", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1640, "image_height": 951, "preview_image_width": 1640, "preview_image_height": 951, "name": "miao_tvcg_2018-image.png", "type": "image/png", "size": 1020459, "path": "Publication:miao_tvcg_2018", "preview_name": "miao_tvcg_2018-image:preview.png", "preview_type": "image/png", "preview_size": 1020459, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1640, "preview_image_height": 951, "name": "miao_tvcg_2018-paper.pdf", "type": "application/pdf", "size": 36713848, "path": "Publication:miao_tvcg_2018", "preview_name": "miao_tvcg_2018-paper:preview.png", "preview_type": "image/png", "preview_size": 1020459, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "miao_tvcg_2018-video.mp4", "type": "video/mp4", "size": 80300196, "path": "Publication:miao_tvcg_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-video:video.mp4" } ], "projects_workgroups": [ "vis", "Illustrare", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/", "__class": "Publication" }, { "id": "klein_2017_IM", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Instant Construction and Visualization of Crowded Biological Environments", "date": "2018", "abstract": "We present the first approach to integrative structural modeling of the biological mesoscale within an interactive visual environment. These complex models can comprise up to millions of molecules with defined atomic structures, locations, and interactions. Their construction has previously been attempted only within a non-visual and non-interactive environment. Our solution unites the modeling and visualization aspect, enabling interactive construction of atomic resolution mesoscale models of large portions of a cell. We present a novel set of GPU algorithms that build the basis for the rapid construction of complex biological structures. These structures consist of multiple membrane-enclosed compartments including both soluble molecules and fibrous structures. The compartments are defined using volume voxelization of triangulated meshes. For membranes, we present an extension of the Wang\nTile concept that populates the bilayer with individual lipids. Soluble molecules are populated within compartments using the Halton\nsequence for their distribution. Fibrous structures, such as RNA or actin filaments, are created by self-avoiding random walks. Resulting overlaps of molecules are resolved by a forced-based system. Our approach opens new possibilities to the world of interactive\nconstruction of cellular compartments. We demonstrate its effectiveness by showcasing scenes of different scale and complexity that\ncomprise blood plasma, mycoplasma, and HIV.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 1726, "preview_image_height": 760, "name": "klein_2017_IM-image.png", "type": "image/png", "size": null, "path": "Publication:klein_2017_IM", "preview_name": "klein_2017_IM-image:preview.png", "preview_type": "image/png", "preview_size": 706858, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1285, 1260, 1248, 1365, 1475, 166, 171 ], "doi": "10.1109/TVCG.2017.2744258", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1285 ], "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [ { "href": "https://vimeo.com/238851516", "caption": "VIS presentation", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 1726, "preview_image_height": 760, "name": "klein_2017_IM-image.png", "type": "image/png", "size": null, "path": "Publication:klein_2017_IM", "preview_name": "klein_2017_IM-image:preview.png", "preview_type": "image/png", "preview_size": 706858, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "klein_2017_IM-paper.pdf", "type": "application/pdf", "size": 26450869, "path": "Publication:klein_2017_IM", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/", "__class": "Publication" }, { "id": "lawonn-2018-illvisstar", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "A Survey of Surface-Based Illustrative Rendering for Visualization", "date": "2018", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1544, 171, 563, 960 ], "doi": "10.1111/cgf.13322", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "NN", "open_access": "no", "pages": "n/a–n/a", "research_areas": [ "IllVis" ], "keywords": [ "scientific visualization", "visualization", "Categories and SubjectDescriptors (according to ACM CCS): I.3.3 [Computer Graphics]:Picture/Image GenerationLine and curve generation" ], "weblinks": [], "files": [], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lawonn-2018-illvisstar/", "__class": "Publication" }, { "id": "sbert-2017-sa_course_0023", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Information Theory In Visualization", "date": "2017-11-30", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 207, 1527, 171, 1083, 1512, 608 ], "date_from": "2017", "date_to": "2017", "event": "SIGGRAPH Asia 2017 Course 0023", "location": "Bangkok, Thailand", "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://sa2017.siggraph.org/attendees/courses?view=session&sid=9", "caption": "SIGGRAPH Asia 2017 Course Information", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "course notes", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sbert-2017-sa_course_0023-course notes.pdf", "type": "application/pdf", "size": 10503939, "path": "Publication:sbert-2017-sa_course_0023", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sbert-2017-sa_course_0023/sbert-2017-sa_course_0023-course notes.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sbert-2017-sa_course_0023/sbert-2017-sa_course_0023-course notes:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sbert-2017-sa_course_0023/", "__class": "Publication" }, { "id": "Viola-Pondering-2017", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Pondering the Concept of Abstraction in (Illustrative) Visualization", "date": "2017-09-04", "abstract": "We explore the concept of abstraction as it is used in visualization, with the ultimate goal of understanding and formally defining it. Researchers so far have used the concept of abstraction largely by intuition without a precise meaning. This lack of specificity\nleft questions on the characteristics of abstraction, its variants, its control, or its ultimate potential for visualization and, in particular, illustrative visualization mostly unanswered. In this paper we thus provide a first formalization of the abstraction concept and discuss how this formalization affects the application of abstraction in a variety of visualization scenarios. Based on this discussion, we derive a number of open questions still waiting to be answered, thus formulating a research agenda for the use of abstraction for the visual representation and exploration of data. This paper, therefore, is intended to provide a contribution to the discussion of the theoretical foundations of our field, rather than attempting to provide a completed and final theory.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 4283, "image_height": 3539, "name": "Viola-Pondering-2017-image.jpg", "type": "image/jpeg", "size": 447826, "path": "Publication:Viola-Pondering-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 960 ], "date_from": "2017", "date_to": "2018", "doi": "10.1109/TVCG.2017.2747545", "event": "Eurovis 2018", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 171, 960 ], "number": "99", "open_access": "yes", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 4283, "image_height": 3539, "name": "Viola-Pondering-2017-image.jpg", "type": "image/jpeg", "size": 447826, "path": "Publication:Viola-Pondering-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": 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"date_from": "2017-07-24", "date_to": "2017-07-24", "event": "BioVis@ISMB 2017", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Groeller-2017-PTPMD/", "__class": "Publication" }, { "id": "Gehrer-2017-molmach", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Visualization of molecular machinery using agent-based animation", "date": "2017-05", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 335, "image_height": 182, "name": "Gehrer-2017-molmach-image.jpg", "type": "image/jpeg", "size": 15836, "path": "Publication:Gehrer-2017-molmach", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1194, 171 ], "booktitle": "Proceedings of SCCG 2017", "event": "Spring Conference on Computer Graphics", "lecturer": [ 1194 ], "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 335, "image_height": 182, "name": "Gehrer-2017-molmach-image.jpg", "type": "image/jpeg", "size": 15836, "path": "Publication:Gehrer-2017-molmach", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Gehrer-2017-molmach-paper.pdf", "type": "application/pdf", "size": 7769733, "path": "Publication:Gehrer-2017-molmach", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/", "__class": "Publication" }, { "id": "kouril-2017-sccgposter", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Maya2cellVIEW: Integrated Tool for Creating Large and Complex Molecular Scenes", "date": "2017-05", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3789, "image_height": 2013, "name": "kouril-2017-sccgposter-teaser.png", "type": "image/png", "size": 285215, "path": "Publication:kouril-2017-sccgposter", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383, 1189, 1248, 171 ], "date_from": "2017-05", "date_to": "2017-05", "event": "Spring Conference on Computer Graphics 2017", "research_areas": [ "BioVis", "Modeling" ], "keywords": [], "weblinks": [], "files": [ { 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100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/", "__class": "Publication" }, { "id": "seyfert-2017", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Dynamic word clouds", "date": "2017-05", "abstract": "Using word clouds to visualize dynamic time-varying data is a field still under-explored. The goal of our approach is to provide a novel way of generating smoothly animated word clouds to show changes in word frequency via font size. Unlike existing methods, a compact layout, inspired by the popular word cloud generation tool Wordle, is preserved during animation and implemented using web technologies.Word size changes in time are also illustrated via color and word rotation. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 642, "image_height": 297, "name": "seyfert-2017-image.bmp", "type": "image/bmp", "size": 572670, "path": "Publication:seyfert-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 1400 ], "booktitle": "Proceedings of SCCG 2017", "date_from": "2017-05-15", "date_to": "2017-05-17", "doi": "10.1145/3154353.3154358", "editor": "ACM", "event": "SCCG 2017", "isbn": "978-1-4503-5107-2", "lecturer": [ 1400 ], "location": "Mikulov", "research_areas": [ "IllVis" ], "keywords": [ " tag cloud, animated, dynamic, time-varying, word cloud " ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 642, "image_height": 297, "name": "seyfert-2017-image.bmp", "type": "image/bmp", "size": 572670, "path": "Publication:seyfert-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "seyfert-2017-paper.pdf", "type": "application/pdf", "size": 2618363, "path": "Publication:seyfert-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/", "__class": "Publication" }, { "id": "sorger_2017_metamorphers", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Metamorphers: Storytelling Templates For Illustrative Animated Transitions in Molecular Visualization", "date": "2017-05", "abstract": "In molecular biology, illustrative animations are used to convey complex biological phenomena to broad audiences. However, such animations have to be manually authored in 3D modeling software, a time consuming task that has to be repeated from scratch for every new data set, and requires a high level of expertise in illustration, animation, and biology. We therefore propose metamorphers: a set of operations for defining animation states as well as the transitions to them in the form of re-usable story telling templates. The re-usability is two-fold. Firstly, due to their modular nature, metamorphers can be re-used in different combinations to create a wide range of animations. Secondly, due to their abstract nature, metamorphers can be re-used to re-create an intended animation for a wide range of compatible data sets. Metamorphers thereby mask the low level complexity of explicit animation specifications by exploiting the inherent properties of the molecular data, such as the position, size, and hierarchy level of a semantic data subset.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 6011, "image_height": 1167, "name": "sorger_2017_metamorphers-teaser.png", "type": "image/png", "size": 2870066, "path": "Publication:sorger_2017_metamorphers", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072, 935, 488, 166, 1379, 171 ], "booktitle": "Proceedings of the Spring Conference on Computer Graphics 2017", "date_from": "2017-05-15", "date_to": "2017-05-17", "location": "Mikulov, Czech Republic", "pages_from": "27", "pages_to": "36", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "animated transitions", "storytelling", "molecular visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger_2017_metamorphers-paper.pdf", "type": "application/pdf", "size": 10648080, "path": "Publication:sorger_2017_metamorphers", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 6011, "image_height": 1167, "name": "sorger_2017_metamorphers-teaser.png", "type": "image/png", "size": 2870066, "path": "Publication:sorger_2017_metamorphers", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger_2017_metamorphers-video.mp4", "type": "video/mp4", "size": 99597057, "path": "Publication:sorger_2017_metamorphers", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/", "__class": "Publication" }, { "id": "Waldin_Nicholas_2017_FlickerObserver", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Flicker Observer Effect: Guiding Attention Through High Frequency Flicker in Images", "date": "2017-05", "abstract": "Drawing the user's gaze to an important item in an image or a graphical user interface is a common challenge. Usually, some form of highlighting is used, such as a clearly distinct color or a border around the item. Flicker can also be very salient, but is often perceived as annoying. In this paper, we explore high frequency flicker (60 to 72 Hz) to guide the user's attention in an image. At such high frequencies, the critical flicker frequency (CFF) threshold is reached, which makes the flicker appear to fuse into a stable signal. However, the CFF is not uniform across the visual field, but is higher in the peripheral vision at normal lighting conditions. Through experiments, we show that high frequency flicker can be easily detected by observers in the peripheral vision, but the signal is hardly visible in the foveal vision when users directly look at the flickering patch. We demonstrate that this property can be used to draw the user's attention to important image regions using a standard high refresh-rate computer monitor with minimal visible modifications to the image. In an uncalibrated visual search task, users could in a crowded image easily spot the specified search targets flickering with very high frequency. They also reported that high frequency flicker was distracting when they had to attend to another region, while it was hardly noticeable when looking at the flickering region itself.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1461, 1110, 171 ], "date_from": "2014", "date_to": "2017", "event": "Eurographics 2017", "journal": "Computer Graphics Forum", "lecturer": [ 1339 ], "number": "2", "pages_from": "467", "pages_to": "476", "volume": "36", "research_areas": [ "Perception" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Waldin_Nicholas_2017_FlickerObserver-paper.pdf", "type": "application/pdf", "size": 6348247, "path": "Publication:Waldin_Nicholas_2017_FlickerObserver", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldin_Nicholas_2017_FlickerObserver/Waldin_Nicholas_2017_FlickerObserver-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldin_Nicholas_2017_FlickerObserver/Waldin_Nicholas_2017_FlickerObserver-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldin_Nicholas_2017_FlickerObserver/", "__class": "Publication" }, { "id": "mindek-2017-virtualcell", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "The Birth of a Virtual Cell", "date": "2017-04", "abstract": "In our current research project, we are working on the interactive visualization of cellular data at multiple scales. The visual story telling contest motivated us to describe the process of bringing this complex volumetric data \"to life\". We scripted the visual story directly within the current build of our multi-scale visualization. The entire video is therefore rendered in real time. This enabled us to directly show the steps involved in the rendering of our final visualization based on the actual data and the actual algorithms that are applied. The various effects in the video are therefore parameter variables for existing multi-scale visualization functions that change over time. The final result of our visualization was inspired by a rendering of the reference 3D model that was created by a scientific illustrator. The challenge that we overcome in our visualization was to create a rendering of the original data at stable 30 frames per second that matches the offline rendered illustration in visual quality, which helps to clarify the complex 3D arrangements of the inner components of the cell.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 960, "image_height": 540, "name": "mindek-2017-virtualcell-teaser.png", "type": "image/png", "size": 332614, "path": "Publication:mindek-2017-virtualcell", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/mindek-2017-virtualcell-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/mindek-2017-virtualcell-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935, 1072, 1383, 1285, 1379, 171 ], "note": "submitted to the Pacific Vis 2017 Storytelling Contest", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [ { "href": "https://vimeo.com/220376839", "caption": "the video", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 960, "image_height": 540, "name": "mindek-2017-virtualcell-teaser.png", "type": "image/png", "size": 332614, "path": "Publication:mindek-2017-virtualcell", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/mindek-2017-virtualcell-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/mindek-2017-virtualcell-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/", "__class": "Publication" }, { "id": "Kolesar-Fractional-2016", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "A Fractional Cartesian Composition Model for Semi-Spatial ComparativeVisualization Design", "date": "2017-01", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1192, 161, 171, 176 ], "date_from": "2016-10-23", "date_to": "2016-10-28", "doi": "10.1109/TVCG.2016.2598870", "event": "IEEE VIS 2016", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1192 ], "number": "1", "pages": "851-860", "volume": "23", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kolesar-Fractional-2016/", "__class": "Publication" }, { "id": "mindek-2017-marion", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visualization Multi-Pipeline for Communicating Biology", "date": "2017", "abstract": "We propose a system to facilitate biology communication by developing a pipeline to support the instructional visualization of heterogeneous biological data on heterogeneous user-devices. Discoveries and concepts in biology are typically summarized with illustrations assembled manually from the interpretation and application of heterogenous data. The creation of such illustrations is time consuming, which makes it incompatible with frequent updates to the measured data as new discoveries are made. Illustrations are typically non-interactive, and when an illustration is updated, it still has to reach the user. Our system is designed to overcome these three obstacles. It supports the integration of heterogeneous datasets, reflecting the knowledge that is gained from different data sources in biology. After pre-processing the datasets, the system transforms them into visual representations as inspired by scientific illustrations. As opposed to traditional scientific illustration these representations are generated in real-time - they are interactive. The code generating the visualizations can be embedded in various software environments. To demonstrate this, we implemented both a desktop application and a remote-rendering server in which the pipeline is embedded. The remote-rendering server supports multi-threaded rendering and it is able to handle multiple users simultaneously. This scalability to different hardware environments, including multi-GPU setups, makes our system useful for efficient public dissemination of biological discoveries.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "hidden", "image_width": 838, "image_height": 601, "name": "mindek-2017-marion-.png", "type": "image/png", "size": 395582, "path": "Publication:mindek-2017-marion", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935, 1383, 1072, 1488, 1489, 1379, 166, 171 ], "date_from": "2017-09-29", "date_to": "2017-10-07", "event": "IEEE Vis 2017", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 935 ], "location": "Phoenix, Arizona", "number": "1", "volume": "24", "research_areas": [ "BioVis", "IllVis", "Rendering" ], "keywords": [ "Biological visualization", "remote rendering", "public dissemination" ], "weblinks": [ { "href": "https://vimeo.com/238851516", "caption": "VIS presentation", "description": null, "main_file": 0 } ], "files": { "1": { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2017-marion-Paper.pdf", "type": "application/pdf", "size": 12037780, "path": "Publication:mindek-2017-marion", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Paper:thumb{{size}}.png" }, "2": { "description": null, "filetitle": "Preview Movie", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2017-marion-Preview Movie.avi", "type": "video/avi", "size": 25593216, "path": "Publication:mindek-2017-marion", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Preview Movie.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Preview Movie:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Preview Movie:video.mp4" }, "3": { "description": null, "filetitle": "Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2017-marion-Slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 95389205, "path": "Publication:mindek-2017-marion", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Slides.pptx", "thumb_image_sizes": [] } }, "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/", "__class": "Publication" }, { "id": "vad_viktor-2017-WVE", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Watergate: Visual Exploration of Water Trajectories in Protein Dynamics", "date": "2017", "abstract": "The function of proteins is tightly related to their interactions with other molecules. The study of such interactions often requires to track the molecules that enter or exit specific regions of the proteins. This is investigated with molecular dynamics simulations, producing the trajectories of thousands of water molecules during hundreds of thousands of time steps. To ease the exploration of such rich spatio-temporal data, we propose a novel workflow for the analysis and visualization of large sets of water-molecule trajectories. Our solution consists of a set of visualization techniques, which help biochemists to classify, cluster, and filter the trajectories and to explore the properties and behavior of selected subsets in detail. Initially, we use an interactive histogram and a time-line visualization to give an overview of all water trajectories and select the interesting ones for further investigation. Further, we depict clusters of trajectories in a novel 2D representation illustrating the flows of water molecules. These views are interactively linked with a 3D representation where we show individual paths, including their simplification, as well as extracted statistical information displayed by isosurfaces. The proposed solution has been designed in tight collaboration with experts to support specific tasks in their scientific workflows. They also conducted several case studies to evaluate the usability and effectiveness of our new solution with respect to their research scenarios. These confirmed that our proposed solution helps in analyzing water trajectories and in extracting the essential information out of the large amount of input data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 1474, "preview_image_height": 588, "name": "vad_viktor-2017-WVE-.pdf", "type": "application/pdf", "size": 6012581, "path": "Publication:vad_viktor-2017-WVE", "preview_name": "vad_viktor-2017-WVE-:preview.png", "preview_type": "image/png", "preview_size": 244889, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/vad_viktor-2017-WVE-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/vad_viktor-2017-WVE-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1195, 1254, 1255, 171, 166, 176, 1498, 1499, 1248 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine 2017", "date_from": "2017", "lecturer": [ 1195 ], "location": "September, 2017 Bremen, Germany", "pages_from": "33", "pages_to": "42", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/vcbm20171235", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 1474, "preview_image_height": 588, "name": "vad_viktor-2017-WVE-.pdf", "type": "application/pdf", "size": 6012581, "path": "Publication:vad_viktor-2017-WVE", "preview_name": "vad_viktor-2017-WVE-:preview.png", "preview_type": "image/png", "preview_size": 244889, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/vad_viktor-2017-WVE-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/vad_viktor-2017-WVE-:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/", "__class": "Publication" }, { "id": "Kozlikova-Visualization-2016b", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Visualization of Biomolecular Structures: State of the Art Revisited", "date": "2016-11", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1248, 1249, 1251, 1250, 1253, 171, 1252, 1143, 1026 ], "doi": "10.1111/cgf.13072", "journal": "Computer Graphics Forum", "number": "XX", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kozlikova-Visualization-2016b/", "__class": "Publication" }, { "id": "sorger-2016-fowardabstraction", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Illustrative Transitions in Molecular Visualization via Forward and Inverse Abstraction Transform", "date": "2016-09", "abstract": "A challenging problem in biology is the incompleteness of acquired information when visualizing biological phenomena. Structural biology generates detailed models of viruses or bacteria at different development stages, while the processes that relate one stage to another are often not clear. Similarly, the entire life cycle of a biological entity might be available as a quantitative model, while only one structural model is available. If the relation between two models is specified at a lower level of detail than the actual models themselves, the two models cannot be interpolated correctly. We propose a method that deals with the visualization of incomplete data information in the developmental or evolutionary states of biological mesoscale models, such as viruses or microorganisms. The central tool in our approach is visual abstraction. Instead of directly interpolating between two models that show different states of an organism, we gradually forward transform the models into a level of visual abstraction that matches the level of detail of the modeled relation between them. At this level, the models can be interpolated without conveying false information. After the interpolation to the new state, we apply the inverse transformation to the model’'s original level of abstraction. To show the flexibility of our approach, we demonstrate our method on the basis of molecular data, in particular data of the HIV virion and the mycoplasma bacterium.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2084, "image_height": 1027, "name": "sorger-2016-fowardabstraction-teaser.png", "type": "image/png", "size": 2349725, "path": "Publication:sorger-2016-fowardabstraction", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072, 935, 1285, 1379, 171 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM)", "editor": "S. Bruckner, B. Preim, and A. Vilanova", "location": "Bergen", "organization": "Eurographics", "pages_from": "21", "pages_to": "30", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "I.3.3 [Computer Graphics]: Picture/Image Generation-Display algorithms" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger-2016-fowardabstraction-paper.pdf", "type": "application/pdf", "size": 4626761, "path": "Publication:sorger-2016-fowardabstraction", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2084, "image_height": 1027, "name": "sorger-2016-fowardabstraction-teaser.png", "type": "image/png", "size": 2349725, "path": "Publication:sorger-2016-fowardabstraction", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger-2016-fowardabstraction-video.mp4", "type": "video/mp4", "size": 41423527, "path": "Publication:sorger-2016-fowardabstraction", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-video:video.mp4" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/", "__class": "Publication" }, { "id": "bernhard-2016-gft", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": " The Accuracy of Gauge-Figure Tasks in Monoscopic and Stereo Displays", "date": "2016-07", "abstract": "The gauge-figure task (GFT) is a widespread method used to study surface perception for evaluating rendering and visualization techniques. The authors investigate how accurately slant angles probed on well-defined objects align with the ground truth (GT) in monoscopic and stereoscopic displays. Their results show that the GFT probes taken with well-defined objects align well with the GT in the all-monoscopic and all-stereoscopic conditions. However, they found that a GF rendered in stereo over a monoscopic stimulus results in a strong slant underestimation and that an overestimation occurred in the inverse case (monoscopic GF andstereoscopic stimulus). They discuss how their findings affect the interpretation of absolute GFT measures, compared to the GT normal.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 216, "image_height": 205, "name": "bernhard-2016-gft-.jpg", "type": "image/jpeg", "size": 38475, "path": "Publication:bernhard-2016-gft", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 660, 1110, 1293, 896, 171 ], "journal": "IEEE Computer Graphics and Applications", "number": "4", "pages_from": "56", "pages_to": "66", "volume": "36", "research_areas": [ "Perception" ], "keywords": [ "computer graphics", "gauge-figure task", "perceptual visualization", "shape perception" ], "weblinks": [ { "href": "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7478440", "caption": "IEEE Xplore", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 216, "image_height": 205, "name": "bernhard-2016-gft-.jpg", "type": "image/jpeg", "size": 38475, "path": "Publication:bernhard-2016-gft", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/", "__class": "Publication" }, { "id": "Kehl-Direct-2016", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Direct Image-to-Geometry Registration Using Mobile Sensor Data", "date": "2016-07", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1514, 1515, 1516, 171, 1156 ], "date_from": "2016", "date_to": "2016", "doi": "10.5194/isprs-annals-III-2-121-2016", "event": "ISPRS", "journal": "ISPRS Annals of Photogrammetry, Remote Sensing and Spatial InformationSciences", "lecturer": [ 1514 ], "pages": "121–128", "pages_from": "121", "pages_to": "128", "volume": "III-2", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kehl-Direct-2016/", "__class": "Publication" }, { "id": "Viola_Ivan_2015_AAM", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "AnimoAminoMiner: Exploration of Protein Tunnels and their Properties in Molecular Dynamics", "date": "2016-01", "abstract": "In this paper we propose a novel method for the interactive exploration of protein tunnels. The basic principle of our approach is that we entirely abstract from the 3D/4D space the simulated phenomenon is embedded in. A complex 3D structure and its curvature information is represented only by a straightened tunnel centerline and its width profile. This representation focuses on a key aspect of the studied geometry and frees up graphical estate to key chemical and physical properties represented by surrounding amino acids. The method shows the detailed tunnel profile and its temporal aggregation. The profile is interactively linked with a visual overview of all amino acids which are lining the tunnel over time. In this overview, each amino acid is represented by a set of colored lines depicting the spatial and temporal impact of the amino acid on the corresponding tunnel. This representation clearly shows the importance of amino acids with respect to selected criteria. It helps the biochemists to select the candidate amino acids for mutation which changes the protein function in a desired way. The AnimoAminoMiner was designed in close cooperation with domain experts. Its usefulness is documented by their feedback and a case study, which are included.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1576, "image_height": 609, "name": "Viola_Ivan_2015_AAM-Image.jpg", "type": "image/jpeg", "size": 111989, "path": "Publication:Viola_Ivan_2015_AAM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1254, 1189, 166, 171, 1248 ], "date_from": "2015-10-25", "date_to": "2015-10-30", "event": "IEEE Vis 2015", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1254 ], "location": "Illinois, Chicago, USA", "number": "1", "pages_from": "747", "pages_to": "756", "volume": "22", "research_areas": [ "BioVis" ], "keywords": [ "aggregation", "molecular dynamics", "Protein", "interaction", "tunnel" ], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2015.2467434", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1576, "image_height": 609, "name": "Viola_Ivan_2015_AAM-Image.jpg", "type": "image/jpeg", "size": 111989, "path": "Publication:Viola_Ivan_2015_AAM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_2015_AAM-Paper.pdf", "type": "application/pdf", "size": 1114453, "path": "Publication:Viola_Ivan_2015_AAM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/", "__class": "Publication" }, { "id": "Chen-Information-2016", "type_id": "book", "tu_id": null, "repositum_id": null, "title": "Information Theory Tools for Visualization", "date": "2016", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1083, 608, 171, 1512, 207, 1513 ], "isbn": "9781498740937", "pages": "194", "publisher": "CRC Press", "research_areas": [ "IllVis", "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Chen-Information-2016/", "__class": "Publication" }, { "id": "Cornel2016CFM", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Composite Flow Maps", "date": "2016", "abstract": "Flow maps are widely used to provide an overview of geospatial transportation data. Existing solutions lack the support for the interactive exploration of multiple flow components at once. Flow components are given by different materials being transported, different flow directions, or by the need for comparing alternative scenarios. In this paper, we combine flows as individual ribbons in one composite flow map. The presented approach can handle an arbitrary number of sources and sinks. To avoid visual clutter, we simplify our flow maps based on a force-driven algorithm, accounting for restrictions with respect to application semantics. The goal is to preserve important characteristics of the geospatial context. This feature also enables us to highlight relevant spatial information on top of the flow map such as traffic conditions or accessibility. The flow map is computed on the basis of flows between zones. We describe a method for auto-deriving zones from geospatial data according to application requirements. We demonstrate the method in real-world applications, including transportation logistics, evacuation procedures, and water simulation. Our results are evaluated with experts from corresponding fields.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 914, "image_height": 537, "name": "Cornel2016CFM-image.jpg", "type": "image/jpeg", "size": 169070, "path": "Publication:Cornel2016CFM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 877, 1205, 1058, 1207, 1008, 171, 798 ], "event": "EuroVis 2016", "journal": "Computer Graphics Forum", "lecturer": [ 877 ], "location": "Gronningen, The Netherlands", "number": "3", "pages_from": "461", "pages_to": "470", "volume": "35", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 914, "image_height": 537, "name": "Cornel2016CFM-image.jpg", "type": "image/jpeg", "size": 169070, "path": "Publication:Cornel2016CFM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Cornel2016CFM-paper.pdf", "type": "application/pdf", "size": 15694822, "path": "Publication:Cornel2016CFM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/", "__class": "Publication" }, { "id": "Krone2016VABC", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual Analysis of Biomolecular Cavities: State of the Art", "date": "2016", "abstract": "In this report we review and structure the branch of molecular visualization that is concerned with the visual analysis of cavities in macromolecular protein structures. First the necessary background, the domain terminology, and the goals of analytical reasoning are introduced. Based on a comprehensive collection of relevant research works, we present a novel classification for cavity detection approaches and structure them into four distinct classes: grid-based, Voronoi-based, surface-based, and probe-based methods. The subclasses are then formed by their combinations. We match these approaches with corresponding visualization technologies starting with direct 3D visualization, followed with non-spatial visualization techniques that for example abstract the interactions between structures into a relational graph, straighten the cavity of interest to see its profile in one view, or aggregate the time sequence into a single contour plot. We also discuss the current state of methods for the visual analysis of cavities in dynamic data such as molecular dynamics simulations. Finally, we give an overview of the most common tools that are actively developed and used in the structural biology and biochemistry research. Our report is concluded by an outlook on future challenges in the field.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1754, "image_height": 1188, "name": "Krone2016VABC-image.jpg", "type": "image/jpeg", "size": 131835, "path": "Publication:Krone2016VABC", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1249, 1248, 1250, 1252, 1253, 1143, 1026, 171 ], "journal": "Computer Graphics Forum", "lecturer": [ 1249 ], "location": "Gronningen, The Netherlands", "number": "3", "pages_from": "527", "pages_to": "551", "volume": "35", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12928/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1754, "image_height": 1188, "name": "Krone2016VABC-image.jpg", "type": "image/jpeg", "size": 131835, "path": "Publication:Krone2016VABC", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Krone2016VABC-paper.pdf", "type": "application/pdf", "size": 26594142, "path": "Publication:Krone2016VABC", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/", "__class": "Publication" }, { "id": "lemuzic-mindek-2016-viseq", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visibility Equalizer: Cutaway Visualization of Mesoscopic Biological Models", "date": "2016", "abstract": "In scientific illustrations and visualization, cutaway views are often employed as an effective technique for occlusion management in densely packed scenes.We propose a novel method for authoring cutaway illustrations of mesoscopic biological models. In contrast to the existing cutaway algorithms, we take advantage of the specific nature of the biological models. These models consist of thousands of instances with a comparably smaller number of different types. Our method constitutes a two stage process. In the first step, clipping objects are placed in the scene, creating a cutaway visualization of the model. During this process, a hierarchical list of stacked bars inform the user about the instance visibility distribution of each individual molecular type in the scene. In the second step, the visibility of each molecular type is fine-tuned through these bars, which at this point act as interactive visibility equalizers. An evaluation of our technique with domain experts confirmed that our equalizer-based approach for visibility specification is valuable and effective for both, scientific and educational purposes.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 742, "image_height": 663, "name": "lemuzic-mindek-2016-viseq-Preview.png", "type": "image/png", "size": 858868, "path": "Publication:lemuzic-mindek-2016-viseq", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189, 935, 1072, 1260, 1365, 171 ], "date_from": "2016-06-06", "date_to": "2016-06-10", "event": "EuroVis 2016", "journal": "Computer Graphics Forum", "lecturer": [ 935 ], "location": "Groningen, Netherlands", "number": "3", "volume": "35", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "molecular visualization", "visibility", "occlusion" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lemuzic-mindek-2016-viseq-Paper.pdf", "type": "application/pdf", "size": 3971312, "path": "Publication:lemuzic-mindek-2016-viseq", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 742, "image_height": 663, "name": "lemuzic-mindek-2016-viseq-Preview.png", "type": "image/png", "size": 858868, "path": "Publication:lemuzic-mindek-2016-viseq", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview:thumb{{size}}.png" }, { "description": null, "filetitle": "Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lemuzic-mindek-2016-viseq-Slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 140149203, "path": "Publication:lemuzic-mindek-2016-viseq", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Slides.pptx", "thumb_image_sizes": [] } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/", "__class": "Publication" }, { "id": "Reisacher2016", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "CellPathway: A Simulation Tool for Illustrative Visualization of Biochemical Networks", "date": "2016", "abstract": "The molecular knowledge about complex biochemical reaction networks in biotechnology is crucial and has received a lot\nof attention lately. As a consequence, multiple visualization programs have been already developed to illustrate the anatomy\nof a cell. However, since a real cell performs millions of reactions every second to sustain live, it is necessary to move from\nanatomical to physiological illustrations to communicate knowledge about the behavior of a cell more accurately. In this thesis I\npropose a reaction system including a collision detection algorithm, which is able to work at the level of single atoms, to enable\nprecise simulation of molecular interactions. To visually explain molecular activities during the simulation process, a real-time\nglow effect in combination with a clipping object have been implemented. Since intracellular processes are performed with a\nset of chemical transformations, a hierarchical structure is used to illustrate the impact of one reaction on the entire simulation.\nThe CellPathway system integrates acceleration techniques to render large datasets containing millions of atoms in real-time,\nwhile the reaction system is processed directly on the GPU to enable simulation with more than 1000 molecules. Furthermore,\na graphical user interface has been implemented to allow the user to control parameters during simulation interactively.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 400, "image_height": 400, "name": "Reisacher2016-image.jpg", "type": "image/jpeg", "size": 135376, "path": "Publication:Reisacher2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1267, 1189, 171 ], "booktitle": "Proceedings of WSCG", "lecturer": [ 1189 ], "location": "Pilsen, Czech Republic", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 400, "image_height": 400, "name": "Reisacher2016-image.jpg", "type": "image/jpeg", "size": 135376, "path": "Publication:Reisacher2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reisacher2016-paper.pdf", "type": "application/pdf", "size": 1151123, "path": "Publication:Reisacher2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/", "__class": "Publication" }, { "id": "Solteszova2016", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Output-Sensitive Filtering of Streaming Volume Data", "date": "2016", "abstract": "Real-time volume data acquisition poses substantial challenges for the traditional visualization pipeline where data enhancement is typically seen as a pre-processing step. In the case of 4D ultrasound data, for instance, costly processing operations to reduce noise and to remove artefacts need to be executed for every frame. To enable the use of high-quality filtering operations in such scenarios, we propose an output-sensitive approach to the visualization of streaming volume data. Our method evaluates the potential contribution of all voxels to the final image, allowing us to skip expensive processing operations that have little or no effect on the visualization. As filtering operations modify the data values which may affect the visibility, our main contribution is a fast scheme to predict their maximum effect on the final image. Our approach prioritizes filtering of voxels with high contribution to the final visualization based on a maximal permissible error per pixel. With zero permissible error, the optimized filtering will yield a result that is identical to filtering of the entire volume. We provide a thorough technical evaluation of the approach and demonstrate it on several typical scenarios that require on-the-fly processing.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 272, "image_height": 312, "name": "Solteszova2016-image.jpg", "type": "image/jpeg", "size": 15871, "path": "Publication:Solteszova2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1304, 1007, 1370, 171, 161 ], "journal": "Computer Graphics Forum", "volume": "35", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 272, "image_height": 312, "name": "Solteszova2016-image.jpg", "type": "image/jpeg", "size": 15871, "path": "Publication:Solteszova2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Solteszova2016-paper.pdf", "type": "application/pdf", "size": 6192686, "path": "Publication:Solteszova2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/", "__class": "Publication" }, { "id": "vad-2016-bre", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Generalized box-plot for root growth ensembles", "date": "2016", "abstract": "Background In the field of root biology there has been a remarkable progress in root phenotyping, which is the efficient acquisition and quantitative description of root morphology. What is currently missing are means to efficiently explore, exchange and present the massive amount of acquired, and often time dependent root phenotypes. \nResults In this work, we present visual summaries of root ensembles by aggregating root images with identical genetic characteristics. We use the generalized box plot concept with a new formulation of data depth. In addition to spatial distributions, we created a visual representation to encode temporal distributions associated with the development of root individuals.\nConclusions The new formulation of data depth allows for much faster implementation close to interactive frame rates. This allows us to present the statistics from bootstrapping that characterize the root sample set quality. As a positive side effect of the new data-depth formulation we are able to define the geometric median for the curve ensemble, which was well received by the domain experts.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1195, 1408, 1409, 962, 171 ], "journal": "BMC Bioinformatics", "lecturer": [ 1195 ], "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [ { "href": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333180/", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1200, "preview_image_height": 900, "name": "vad-2016-bre-paper.pdf", "type": "application/pdf", "size": 2416818, "path": "Publication:vad-2016-bre", "preview_name": "vad-2016-bre-paper:preview.png", "preview_type": "image/png", "preview_size": 174658, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "vad-2016-bre-Video.mp4", "type": "video/mp4", "size": 7077690, "path": "Publication:vad-2016-bre", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-Video:video.mp4" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/", "__class": "Publication" }, { "id": "viola-evr", "type_id": "habilthesis", "tu_id": null, "repositum_id": null, "title": "Effective Visual Representations", "date": "2016", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 728, "image_height": 612, "name": "viola-evr-image.jpg", "type": "image/jpeg", "size": 43401, "path": "Publication:viola-evr", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "research_areas": [ "IllVis", "Perception" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 728, "image_height": 612, "name": "viola-evr-image.jpg", "type": "image/jpeg", "size": 43401, "path": "Publication:viola-evr", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "viola-evr-thesis.pdf", "type": "application/pdf", "size": 35963729, "path": "Publication:viola-evr", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/", "__class": "Publication" }, { "id": "Waldin_Nicholas_2016_Chameleon", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Chameleon Dynamic Color Mapping for Multi-Scale Structural Biology Models", "date": "2016", "abstract": "Visualization of structural biology data uses color to categorize or separate dense structures into particular semantic units. In\nmultiscale models of viruses or bacteria, there are atoms on the finest level of detail, then amino-acids, secondary structures,\nmacromolecules, up to the compartment level and, in all these levels, elements can be visually distinguished by color. However,\ncurrently only single scale coloring schemes are utilized that show information for one particular scale only. We present a novel\ntechnology which adaptively, based on the current scale level, adjusts the color scheme to depict or distinguish the currently\nbest visible structural information. We treat the color as a visual resource that is distributed given a particular demand. The\nchanges of the color scheme are seamlessly interpolated between the color scheme from the previous views into a given new one.\nWith such dynamic multi-scale color mapping we ensure that the viewer is able to distinguish structural detail that is shown\non any given scale. This technique has been tested by users with an expertise in structural biology and has been overall well\nreceived.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 378, "image_height": 472, "name": "Waldin_Nicholas_2016_Chameleon-Overview.png", "type": "image/png", "size": 488060, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1461, 1189, 1110, 166, 1365, 1260, 171 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine", "event": "VCBM", "lecturer": [ 1339 ], "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/vcbm20161266", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 378, "image_height": 472, "name": "Waldin_Nicholas_2016_Chameleon-Overview.png", "type": "image/png", "size": 488060, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Waldin_Nicholas_2016_Chameleon-paper.pdf", "type": "application/pdf", "size": 25172411, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "zoomed A", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 378, "image_height": 472, "name": "Waldin_Nicholas_2016_Chameleon-zoomed A.png", "type": "image/png", "size": 462676, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed A.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed A:thumb{{size}}.png" }, { "description": null, "filetitle": "zoomed B", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 380, "image_height": 474, "name": "Waldin_Nicholas_2016_Chameleon-zoomed B.png", "type": "image/png", "size": 360850, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed B.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed B:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/", "__class": "Publication" }, { "id": "Waldin_Nicholas_2016_Colormaps", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Personalized 2D color maps", "date": "2016", "abstract": "2D color maps are often used to visually encode complex data characteristics such as heat or height. The comprehension of color maps in visualization is affected by the display (e.g., a monitor) and the perceptual abilities of the viewer. In this paper we present a novel method to measure a user׳s ability to distinguish colors of a two-dimensional color map on a given monitor. We show how to adapt the color map to the user and display to optimally compensate for the measured deficiencies. Furthermore, we improve user acceptance of the calibration procedure by transforming the calibration into a game. The user has to sort colors along a line in a 3D color space in a competitive fashion. The errors the user makes in sorting these lines are used to adapt the color map to his perceptual capabilities.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1461, 660, 171 ], "date_from": "2016-10", "issn": "0097-8493", "journal": "Computers & Graphics", "pages_from": "143", "pages_to": "150", "volume": "59", "research_areas": [ "IllVis", "Perception" ], "keywords": [ "Color; Perception", "Perception", "Color vision deficiency" ], "weblinks": [ { "href": "http://www.sciencedirect.com/science/article/pii/S0097849316300772", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Colormaps/", "__class": "Publication" }, { "id": "Waldin_Nicholas_2016_Individualization", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Individualization of 2D Color Maps for People with Color Vision Deficiencies", "date": "2016", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Waldin_Nicholas_2016_Individualization-.pdf", "type": "application/pdf", "size": 3812707, "path": "Publication:Waldin_Nicholas_2016_Individualization", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1461, 660, 488, 171 ], "booktitle": "Proceedings of the 32Nd Spring Conference on Computer Graphics", "date_from": "2016", "date_to": "2016", "lecturer": [ 1339 ], "location": "Slomenice, Slovakia", "research_areas": [ "Perception" ], "keywords": [], "weblinks": [ { "href": "http://dl.acm.org/citation.cfm?id=2948643", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Waldin_Nicholas_2016_Individualization-.pdf", "type": "application/pdf", "size": 3812707, "path": "Publication:Waldin_Nicholas_2016_Individualization", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/", "__class": "Publication" }, { "id": "cellVIEW_2015", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "cellVIEW: a Tool for Illustrative and Multi-Scale Rendering of Large Biomolecular Datasets", "date": "2015-09", "abstract": "In this article we introduce cellVIEW, a new system to interactively visualize large biomolecular datasets on the atomic level. Our tool is unique and has been specifically designed to match the ambitions of our domain experts to model and interactively visualize structures comprised of several billions atom. The cellVIEW system integrates acceleration techniques to allow for real-time graphics performance of 60 Hz display rate on datasets representing large viruses and bacterial organisms. Inspired by the work of scientific illustrators, we propose a level-of-detail scheme which purpose is two-fold: accelerating the rendering and reducing visual clutter. The main part of our datasets is made out of macromolecules, but it also comprises nucleic acids strands which are stored as sets of control points. For that specific case, we extend our rendering method to support the dynamic generation of DNA strands directly on the GPU. It is noteworthy that our tool has been directly implemented inside a game engine. We chose to rely on a third party engine to reduce software development work-load and to make bleeding-edge graphics techniques more accessible to the end-users. To our knowledge cellVIEW is the only suitable solution for interactive visualization of large bimolecular landscapes on the atomic level and is freely available to use and extend.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1264, "image_height": 796, "name": "cellVIEW_2015-.png", "type": "image/png", "size": 1483300, "path": "Publication:cellVIEW_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189, 1260, 1143, 171 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine", "date_from": "2015-09-14", "date_to": "2015-09-15", "editor": "Katja Bühler and Lars Linsen and Nigel W. John", "isbn": "978-3-905674-82-8", "issn": "2070-5786", "lecturer": [ 1189 ], "location": "Chester, United Kingdom", "organization": "EG Digital Library", "pages_from": "61", "pages_to": "70", "publisher": "The Eurographics Association", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1264, "image_height": 796, "name": "cellVIEW_2015-.png", "type": "image/png", "size": 1483300, "path": "Publication:cellVIEW_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-:thumb{{size}}.png" }, { "description": "the paper", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cellVIEW_2015-paper.pdf", "type": "application/pdf", "size": 14485825, "path": "Publication:cellVIEW_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/", "__class": "Publication" }, { "id": "Viola_Ivan_2015_MCT", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "MoleCollar and Tunnel Heat Map Visualizations for Conveying Spatio-Temporo-Chemical Properties Across and Along Protein Voids", "date": "2015-05", "abstract": "Studying the characteristics of proteins and their inner void space, including their geometry, physico-chemical properties and dynamics are instrumental for evaluating the reactivity of the protein with other small molecules. The analysis of long simulations of molecular dynamics produces a large number of voids which have to be further explored and evaluated. In this paper we propose three new methods: two of them convey important properties along the long axis of a selected void during molecular dynamics and one provides a comprehensive picture across the void. The first two proposed methods use a specific heat map to present two types of information: an overview of all detected tunnels in the dynamics and their bottleneck width and stability over time, and an overview of a specific tunnel in the dynamics showing the bottleneck position and changes of the tunnel length over time. These methods help to select a small subset of tunnels, which are explored individually and in detail. For this stage we propose the third method, which shows in one static image the temporal evolvement of the shape of the most critical tunnel part, i.e., its bottleneck. This view is enriched with abstract depictions of different physicochemical properties of the amino acids surrounding the bottleneck. The usefulness of our newly proposed methods is demonstrated on a case study and the feedback from the domain experts is included. The biochemists confirmed that our novel methods help to convey the information about the appearance and properties of tunnels in a very intuitive and comprehensible manner.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 868, "image_height": 1004, "name": "Viola_Ivan_2015_MCT-Image.bmp", "type": "image/x-ms-bmp", "size": 2614470, "path": "Publication:Viola_Ivan_2015_MCT", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/Viola_Ivan_2015_MCT-Image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/Viola_Ivan_2015_MCT-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1254, 1255, 166, 171, 1248 ], "date_from": "2015-05-25", "date_to": "2015-05-29", "event": "Eurographics Conference on Visualization (EuroVis) (2015)", "journal": "Computer Graphics Forum", "lecturer": [ 1254 ], "location": "Cagliari, Italy", "note": "EuroVis 2015 - Conference Proceedings", "number": "34", "pages_from": "1", "pages_to": "10", "volume": "3", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [ { "href": "http://diglib.eg.org/handle/10.1111/cgf12612", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 868, "image_height": 1004, "name": "Viola_Ivan_2015_MCT-Image.bmp", "type": "image/x-ms-bmp", "size": 2614470, "path": "Publication:Viola_Ivan_2015_MCT", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/Viola_Ivan_2015_MCT-Image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/Viola_Ivan_2015_MCT-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_2015_MCT-Paper.pdf", "type": "application/pdf", "size": 6895037, "path": "Publication:Viola_Ivan_2015_MCT", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/Viola_Ivan_2015_MCT-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/Viola_Ivan_2015_MCT-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/", "__class": "Publication" }, { "id": "Viola_Ivan_2015_VBS", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Visualization of Biomolecular Structures: State of the Art", "date": "2015-05", "abstract": "Structural properties of molecules are of primary concern in many fields. This report provides a comprehensive overview on techniques that have been developed in the fields of molecular graphics and visualization with a focus on applications in structural biology. The field heavily relies on computerized geometric and visual representations of three-dimensional, complex, large, and time-varying molecular structures. The report presents a taxonomy that demonstrates which areas of molecular visualization have already been extensively investigated and where the field is currently heading. It discusses visualizations for molecular structures, strategies for efficient display regarding image quality and frame rate, covers different aspects of level of detail, and reviews visualizations illustrating the dynamic aspects of molecular simulation data. The report concludes with an outlook on promising and important research topics to enable further success in advancing the knowledge about interaction of molecular structures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1199, "image_height": 897, "name": "Viola_Ivan_2015_VBS-Image.bmp", "type": "image/x-ms-bmp", "size": 3229254, "path": "Publication:Viola_Ivan_2015_VBS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/Viola_Ivan_2015_VBS-Image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/Viola_Ivan_2015_VBS-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1248, 1249, 1250, 1251, 1252, 1253, 171, 1143, 1026 ], "booktitle": "Eurographics Conference on Visualization (EuroVis) - STARs", "date_from": "2015-05-25", "date_to": "2015-05-29", "editor": "R. Borgo and F. Ganovelli and I. Viola", "event": "Eurographics Conference on Visualization (EuroVis) (2015)", "lecturer": [ 1248 ], "location": "Cagliari, Italy", "pages_from": "061", "pages_to": "081", "publisher": "The Eurographics Association", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [ { "href": "http://diglib.eg.org/handle/10.2312/eurovisstar.20151112.061-081", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1199, "image_height": 897, "name": "Viola_Ivan_2015_VBS-Image.bmp", "type": "image/x-ms-bmp", "size": 3229254, "path": "Publication:Viola_Ivan_2015_VBS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/Viola_Ivan_2015_VBS-Image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/Viola_Ivan_2015_VBS-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_2015_VBS-Paper.pdf", "type": "application/pdf", "size": 693345, "path": "Publication:Viola_Ivan_2015_VBS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/Viola_Ivan_2015_VBS-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/Viola_Ivan_2015_VBS-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/", "__class": "Publication" }, { "id": "lemuzic_2015_timelapse", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Illustrative Timelapse: A Technique for Illustrative Visualization of Particle Simulations on the Mesoscale Level", "date": "2015-04", "abstract": "Animated movies are a popular way to communicate complex phenomena\nin cell biology to the broad audience. Animation artists\napply sophisticated illustration techniques to communicate a story,\nwhile trying to maintain a realistic representation of a complex dynamic\nenvironment. Since such hand-crafted animations are timeconsuming\nand cost-intensive to create, our goal is to formalize\nillustration techniques used by artists to facilitate the automatic\ncreation of visualizations generated from mesoscale particle-based\nmolecular simulations. Our technique Illustrative Timelapse supports\nvisual exploration of complex biochemical processes in dynamic\nenvironments by (1) seamless temporal zooming to observe\nphenomena in different temporal resolutions, (2) visual abstraction\nof molecular trajectories to ensure that observers are able to visually\nfollow the main actors, (3) increased visual focus on events of interest,\nand (4) lens effects to preserve a realistic representation of the\nenvironment in the context. Results from a first user study indicate\nthat visual abstraction of trajectories improves the ability to follow\na story and is also appreciated by users. Lens effects increased the\nperceived amount of molecular motion in the environment while\ntrading off traceability of individual molecules.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1804, "image_height": 810, "name": "lemuzic_2015_timelapse-screenshot.jpg", "type": "image/jpeg", "size": 238322, "path": "Publication:lemuzic_2015_timelapse", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-screenshot.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189, 1110, 1143, 171 ], "booktitle": "Visualization Symposium (PacificVis), 2015 IEEE Pacific", "date_from": "2015-04-14", "date_to": "2015-04-17", "lecturer": [ 1189 ], "location": "Zijingang Campus, Zhejiang University, Hangzhou, China", "organization": "8th IEEE Pacific Visualization Symposium (PacificVis 2015)", "pages_from": "247", "pages_to": "254", "publisher": "IEEE", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "the paper", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lemuzic_2015_timelapse-paper.pdf", "type": "application/pdf", "size": 1414681, "path": "Publication:lemuzic_2015_timelapse", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "screenshot", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1804, "image_height": 810, "name": "lemuzic_2015_timelapse-screenshot.jpg", "type": "image/jpeg", "size": 238322, "path": "Publication:lemuzic_2015_timelapse", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-screenshot.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-screenshot:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/", "__class": "Publication" }, { "id": "mindek-2015-mc", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Automatized Summarization of Multiplayer Games", "date": "2015-04", "abstract": "We present a novel method for creating automatized gameplay dramatization of multiplayer video games. The dramatization serves as a visual form of guidance through dynamic 3D scenes with multiple foci, typical for such games. Our goal is to convey interesting aspects of the gameplay by animated sequences creating a summary of events which occurred during the game. Our technique is based on processing many cameras, which we refer to as a flock of cameras, and events captured during the gameplay, which we organize into a so-called event graph. Each camera has a lifespan with a certain time interval and its parameters such as position or look-up vector are changing over time. Additionally, during its lifespan each camera is assigned an importance function, which is dependent on the significance of the structures that are being captured by the camera. The images captured by the cameras are composed into a single continuous video using a set of operators based on cinematographic effects. The sequence of operators is selected by traversing the event graph and looking for specific patterns corresponding to the respective operators. In this way, a large number of cameras can be processed to generate an informative visual story presenting the gameplay. Our compositing approach supports insets of camera views to account for several important cameras simultaneously. Additionally, we create seamless transitions between individual selected camera views in order to preserve temporal continuity, which helps the user to follow the virtual story of the gameplay.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 400, "image_height": 302, "name": "mindek-2015-mc-.png", "type": "image/png", "size": 137906, "path": "Publication:mindek-2015-mc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935, 1246, 171, 166, 161 ], "booktitle": "Proceedings of Spring Conference on Computer Graphics 2015", "date_from": "2015-04-22", "date_to": "2015-04-24", "editor": "Joaquim Jorge, Luis Paulo Santos, Roman Durikovic", "isbn": "978-80-223-3844-8", "lecturer": [ 935 ], "location": "Smolenice, Slovakia", "pages_from": "93", "pages_to": "100", "publisher": "Comenius University, Bratislava", "research_areas": [ "IllVis" ], "keywords": [ "storytelling", "game visualization", "animation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 400, "image_height": 302, "name": "mindek-2015-mc-.png", "type": "image/png", "size": 137906, "path": "Publication:mindek-2015-mc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2015-mc-Paper.pdf", "type": "application/pdf", "size": 281246, "path": "Publication:mindek-2015-mc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2015-mc-Slides.zip", "type": "application/zip", "size": 33951287, "path": "Publication:mindek-2015-mc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-Slides.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/", "__class": "Publication" }, { "id": "waldner-2014-af", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": " Attractive Flicker: Guiding Attention in Dynamic Narrative Visualizations", "date": "2014-12", "abstract": "Focus+context techniques provide visual guidance in visualizations by giving strong visual prominence to elements of interest while the context is suppressed. However, finding a visual feature to enhance for the focus to pop out from its context in a large dynamic scene, while leading to minimal visual deformation and subjective disturbance, is challenging. This paper proposes Attractive Flicker, a novel technique for visual guidance in dynamic narrative visualizations. We first show that flicker is a strong visual attractor in the entire visual field, without distorting, suppressing, or adding any scene elements. The novel aspect of our Attractive Flicker technique is that it consists of two signal stages: The first “orientation stage” is a short but intensive flicker stimulus to attract the attention to elements of interest. Subsequently, the intensive flicker is reduced to a minimally disturbing luminance oscillation (“engagement stage”) as visual support to keep track of the focus elements. To find a good trade-off between attraction effectiveness and subjective annoyance caused by flicker, we conducted two perceptual studies to find suitable signal parameters. We showcase Attractive Flicker with the parameters obtained from the perceptual statistics in a study of molecular interactions. With Attractive Flicker, users were able to easily follow the narrative of the visualization on a large display, while the flickering of focus elements was not disturbing when observing the context.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 600, "image_height": 605, "name": "waldner-2014-af-.png", "type": "image/png", "size": 232715, "path": "Publication:waldner-2014-af", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110, 1189, 660, 190, 171 ], "date_from": "2014-11-09", "date_to": "2014-11-14", "event": "IEEE VIS 2014", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1110 ], "location": "Paris, France", "number": "12", "pages_from": "2456", "pages_to": "2465", "volume": "20", "research_areas": [ "BioVis", "Perception" ], "keywords": [ "Narrative Visualization", "Flicker", "Visual Attention" ], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2014.2346352", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 600, "image_height": 605, "name": "waldner-2014-af-.png", "type": "image/png", "size": 232715, "path": "Publication:waldner-2014-af", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-:thumb{{size}}.png" }, { "description": "Screenshot 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175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Preview video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "waldner-2014-af-Preview video.mp4", "type": "video/mp4", "size": 16497882, "path": "Publication:waldner-2014-af", "preview_name": "waldner-2014-af-Preview video:preview.png", "preview_type": "image/jpeg", "preview_size": 14964, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Preview video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Preview video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Preview video:video.mp4" }, { "description": null, "filetitle": "Submission video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "waldner-2014-af-Submission video.mp4", "type": "video/mp4", "size": 23904054, "path": "Publication:waldner-2014-af", "preview_name": "waldner-2014-af-Submission video:preview.png", "preview_type": "image/jpeg", "preview_size": 48929, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Submission video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Submission video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Submission video:video.mp4" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/", "__class": "Publication" }, { "id": "birkeland_aasmund_2014_pums", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Perceptually Uniform Motion Space", "date": "2014-11", "abstract": "Flow data is often visualized by animated particles inserted into a ?ow ?eld. The velocity of a particle on the screen is typically linearly scaled by the velocities in the data. However, the perception of velocity magnitude in animated particles is not necessarily linear. We present a study on how different parameters affect relative motion perception. We have investigated the impact of four parameters. The parameters consist of speed multiplier, direction, contrast type and the global velocity scale. In addition, we investigated if multiple motion cues, and point distribution, affect the speed estimation. Several studies were executed to investigate the impact of each parameter. In the initial results, we noticed trends in scale and multiplier. Using the trends for the signi?cant parameters, we designed a compensation model, which adjusts the particle speed to compensate for the effect of the parameters. We then performed a second study to investigate the performance of the compensation model. From the second study we detected a constant estimation error, which we adjusted for in the last study. In addition, we connect our work to established theories in psychophysics by comparing our model to a model based on Stevens’ Power Law.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 663, "image_height": 663, "name": "birkeland_aasmund_2014_pums-.png", "type": "image/png", "size": 568432, "path": "Publication:birkeland_aasmund_2014_pums", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/birkeland_aasmund_2014_pums-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/birkeland_aasmund_2014_pums-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1007, 1144, 171 ], "date_from": "2014-11-09", "date_to": "2014-11-14", "event": "IEEE VIS 2014", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1007 ], "location": "IEEE VIS 2014", "number": "11", "pages_from": "1542", "pages_to": "1554", "volume": "20", "research_areas": [ "Perception" ], "keywords": [ "motion visualization", "motion perception", "animation", "evauation", "perceptual model" ], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2014.2322363", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 663, "image_height": 663, "name": "birkeland_aasmund_2014_pums-.png", "type": "image/png", "size": 568432, "path": "Publication:birkeland_aasmund_2014_pums", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/birkeland_aasmund_2014_pums-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/birkeland_aasmund_2014_pums-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "birkeland_aasmund_2014_pums-paper.pdf", "type": "application/pdf", "size": 5605137, "path": "Publication:birkeland_aasmund_2014_pums", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/birkeland_aasmund_2014_pums-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/birkeland_aasmund_2014_pums-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/", "__class": "Publication" }, { "id": "Viola_Ivan_IIP", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Interactively illustrating polymerization using three-level model fusion", "date": "2014-10", "abstract": "Background: Research in cell biology is steadily contributing new knowledge about many aspects of physiological \nprocesses, both with respect to the involved molecular structures as well as their related function. llustrations of the spatio-temporal development of such processes are not only used in biomedical education, but also can serve scientists as an additional platform for in-silico experiments.\n\nResults: In this paper, we contribute a new, three-level modeling approach to illustrate physiological processes from\nthe class of polymerization at different time scales. We integrate physical and empirical modeling, according to which approach best suits the different involved levels of detail, and we additionally enable a form of interactive steering, while the process is illustrated. We demonstrate the suitability of our approach in the context of several polymerization processes and report from a first evaluation with domain experts.\n\nConclusion: We conclude that our approach provides a new, hybrid modeling approach for illustrating the process of emergence in physiology, embedded in a densely filled environment. Our approach of a complementary fusion of three systems combines the strong points from the different modeling approaches and is capable to bridge different spatial and temporal scales.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 339, "image_height": 241, "name": "Viola_Ivan_IIP-.jpg", "type": "image/jpeg", "size": 12109, "path": "Publication:Viola_Ivan_IIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1192, 1143, 171, 161, 1190, 176 ], "issn": "1471-2105", "journal": "BMC Bioinformatics 2014", "number": "345", "pages_from": "1", "pages_to": "16", "volume": "15", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "Multi-agent modeling", "L-system modeling", "Biochemical visualization", "Visualization of physiology", "Polymerization" ], "weblinks": [ { "href": "http://www.biomedcentral.com/1471-2105/15/345", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 339, "image_height": 241, "name": "Viola_Ivan_IIP-.jpg", "type": "image/jpeg", "size": 12109, "path": "Publication:Viola_Ivan_IIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_IIP-Paper.pdf", "type": "application/pdf", "size": 2018235, "path": "Publication:Viola_Ivan_IIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/", "__class": "Publication" }, { "id": "waldner-2014-ghi", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Graphical Histories of Information Foraging", "date": "2014-10", "abstract": "During information foraging, knowledge workers iteratively seek, filter, read, and extract information. When using multiple information sources and different applications for information processing, re-examination of activities for validation of previous decisions or re-discovery of previously used information sources is challenging. In this paper, we present a novel representation of cross-application histories to support recall of past operations and re-discovery of information resources. Our graphical history consists of a cross-scale visualization combining an overview node-link diagram of used desktop resources with nested (animated) snapshot sequences, based on a recording of the visual screen output during the users’ desktop work. This representation makes key elements of the users’ tasks visually stand out, while exploiting the power of visual memory to recover subtle details of their activities. In a preliminary study, users found our graphical history helpful to recall details of an information foraging task and commented positively on the ability to expand overview nodes into snapshot and video sequences.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 748, "image_height": 668, "name": "waldner-2014-ghi-.png", "type": "image/png", "size": 118153, "path": "Publication:waldner-2014-ghi", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/waldner-2014-ghi-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/waldner-2014-ghi-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110, 161, 171 ], "booktitle": "Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational ", "date_from": "2014-10-26", "date_to": "2014-10-30", "isbn": "978-1-4503-2542-4", "lecturer": [ 1110 ], "location": "Helsinki, Finland", "organization": "NordiCHI’14 - Nordic Conference on Human-Computer Interaction", "pages_from": "295", "pages_to": "304", "publisher": "ACM", "research_areas": [ "InfoVis", "NetVis" ], "keywords": [ "Graph visualization", "Interaction history", "Provenance" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 748, "image_height": 668, "name": "waldner-2014-ghi-.png", "type": "image/png", "size": 118153, "path": "Publication:waldner-2014-ghi", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/waldner-2014-ghi-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/waldner-2014-ghi-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "waldner-2014-ghi-paper.pdf", "type": "application/pdf", "size": 3116802, "path": "Publication:waldner-2014-ghi", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/waldner-2014-ghi-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/waldner-2014-ghi-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/", "__class": "Publication" }, { "id": "Viola_Ivan_DAC", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Deriving Anatomical Context from 4D Ultrasound", "date": "2014-09", "abstract": "Real-time three-dimensional (also known as 4D) ultrasound imaging using matrix array probes has the potential to create large-volume information of entire organs such as the liver without external tracking hardware. This\ninformation can in turn be placed into the context of a CT or MRI scan of the same patient. However for such an approach many image processing challenges need to be overcome and sources of error addressed, including\nreconstruction drift, anatomical deformations, varying appearance of anatomy, and imaging artifacts. In this work,we present a fully automatic system including robust image-based ultrasound tracking, a novel learning-based global initialization of the anatomical context, and joint mono- and multi-modal registration. In an evaluation on 4D US sequences and MRI scans of eight volunteers we achieve automatic reconstruction and registration without any user interaction, assess the registration errors based on physician-defined landmarks, and demonstrate realtime tracking of free-breathing sequences.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 279, "image_height": 140, "name": "Viola_Ivan_DAC-image.jpg", "type": "image/jpeg", "size": 6435, "path": "Publication:Viola_Ivan_DAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/Viola_Ivan_DAC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/Viola_Ivan_DAC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1199, 1200, 1201, 171, 1159, 1161, 1202, 677 ], "booktitle": "Proceedings of EG VCBM14", "date_from": "2014-09-04", "date_to": "2014-09-05", "editor": "Ivan Viola and Katja Buehler and Timo Ropinski", "event": "4th Eurographics Workshop on Visual Computing for Biology and Medicine", "isbn": "978-3-905674-62-0", "issn": "2070-5778", "lecturer": [ 1199 ], "location": "Vienna, Austria", "note": "The electronic version of the proceedings is available from the Eurographics Digital Library at http://diglib.eg.org", "pages_from": "173", "pages_to": "180", "publisher": "Eurographics Association", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 279, "image_height": 140, "name": "Viola_Ivan_DAC-image.jpg", "type": "image/jpeg", "size": 6435, "path": "Publication:Viola_Ivan_DAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/Viola_Ivan_DAC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/Viola_Ivan_DAC-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_DAC-Paper.pdf", "type": "application/pdf", "size": 2561391, "path": "Publication:Viola_Ivan_DAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/Viola_Ivan_DAC-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/Viola_Ivan_DAC-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/", "__class": "Publication" }, { "id": "Viola_Ivan_UVP", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "The Ultrasound Visualization Pipeline", "date": "2014-09", "abstract": "Radiology is one of the main tools in modern medicine. A numerous set of deceases, ailments and treatments utilize accurate images of the patient. Ultrasound is one of the most frequently used imaging modality in medicine. The high spatial resolution, its interactive nature and non-invasiveness makes it the first choice in many examinations. Image interpretation is one of ultrasound’s main challenges. Much training is required to obtain a confident skill level in ultrasound-based diagnostics. State-of-the-art graphics techniques is needed to provide meaningful visualizations of ultrasound in real-time. In this paper we present the process-pipeline for ultrasound visualization, including an overview of the tasks performed in the specific steps. To provide an insight into the trends of ultrasound visualization research, we have selected a set of significant publications and divided them into a technique-based taxonomy covering the topics pre-processing, segmentation, registration, rendering and augmented reality. For the different technique types we discuss the difference between ultrasound-based techniques and techniques for other modalities.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 429, "image_height": 370, "name": "Viola_Ivan_UVP-.jpg", "type": "image/jpeg", "size": 73185, "path": "Publication:Viola_Ivan_UVP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1007, 896, 1220, 1161, 1221, 951, 171 ], "address": "http://link.springer.com/chapter/10.1007%2F978-1-4471-6497-5_24", "booktitle": "Scientific Visualization", "chapter": "Uncertainty, Multifield, Biomedical, and Scalable Visualization", "editor": "Charles D. Hansen, Min Chen, Christopher R. Johnson, Arie E. Kaufman, Hans Hagen", "isbn": "978-1-4471-6496-8", "pages_from": "283", "pages_to": "303", "publisher": "Springer London", "series": "Mathematics and Visualization", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 429, "image_height": 370, "name": "Viola_Ivan_UVP-.jpg", "type": "image/jpeg", "size": 73185, "path": "Publication:Viola_Ivan_UVP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_UVP-paper.pdf", "type": "application/pdf", "size": 6903114, "path": "Publication:Viola_Ivan_UVP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/", "__class": "Publication" }, { "id": "Viola_Ivan_VDP", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Visibility-Driven Processing of Streaming Volume Data", "date": "2014-09", "abstract": "In real-time volume data acquisition, such as 4D ultrasound, the raw data is challenging to visualize directly\nwithout additional processing. Noise removal and feature detection are common operations, but many methods\nare too costly to compute over the whole volume when dealing with live streamed data. In this paper, we propose\na visibility-driven processing scheme for handling costly on-the-fly processing of volumetric data in real-time. In contrast to the traditional visualization pipeline, our scheme utilizes a fast computation of the potentially visible subset of voxels which significantly reduces the amount of data required to process. As filtering operations modify the data values which may affect their visibility, our method for visibility-mask generation ensures that the set of elements deemed visible does not change after processing. Our approach also exploits the visibility information for the storage of intermediate values when multiple operations are performed in sequence, and can therefore significantly reduce the memory overhead of longer filter pipelines. We provide a thorough technical evaluation of the approach and demonstrate it on several typical scenarios where on-the-fly processing is required.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 617, "image_height": 572, "name": "Viola_Ivan_VDP-image.jpg", "type": "image/jpeg", "size": 17438, "path": "Publication:Viola_Ivan_VDP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 896, 1007, 171, 161 ], "booktitle": "Proceedings of EG VCBM 2014", "date_from": "2014-09-04", "date_to": "2014-09-05", "editor": "Ivan Viola and Katja Buehler and Timo Ropinski", "event": "4th EG Workshop on Visual Computing and Biology Medicine", "isbn": "978-3-905674-62-0", "issn": "2070-5778", "lecturer": [ 1304 ], "location": "Vienna, Austria", "pages_from": "127", "pages_to": "136", "publisher": "Eurographics Association", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 617, "image_height": 572, "name": "Viola_Ivan_VDP-image.jpg", "type": "image/jpeg", "size": 17438, "path": "Publication:Viola_Ivan_VDP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Media Player", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 512, "preview_image_height": 512, "name": "Viola_Ivan_VDP-Media Player.wmv", "type": "application/octet-stream", "size": 12664687, "path": "Publication:Viola_Ivan_VDP", "preview_name": "Viola_Ivan_VDP-Media Player:preview.png", "preview_type": "image/jpeg", "preview_size": 11329, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-Media Player.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-Media Player:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_VDP-Paper.pdf", "type": "application/pdf", "size": 12294247, "path": "Publication:Viola_Ivan_VDP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/", "__class": "Publication" }, { "id": "kolesar-ivan-2014-polymers", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Illustrating Polymerization using Three-level Model Fusion", "date": "2014-07", "abstract": "Research in cell biology is steadily contributing new knowledge about many\ndi?erent aspects of physiological processes like polymerization, both with respect to the involved molecular structures as well as their related function. Illustrations of the spatio-temporal development of such processes are not only used in biomedical education, but also can serve scientists as an additional platform for in-silico experiments. In this paper, we contribute a new, three-level modeling approach to illustrate physiological processes from the class of polymerization at di?erent time scales. We integrate physical and empirical modeling, according to which approach suits the di?erent involved levels of detail best, and we additionally enable a simple form of interactive steering while the process is illustrated. We demonstrate the suitability of our approach in the context of several polymerization processes and report from a ?rst evaluation with domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 511, "image_height": 433, "name": "kolesar-ivan-2014-polymers-image.jpg", "type": "image/jpeg", "size": 26704, "path": "Publication:kolesar-ivan-2014-polymers", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1192, 1143, 171, 161, 1190, 176 ], "booktitle": "Proceedings of IEEE BioVis 2014", "date_from": "2014-07-11", "date_to": "2014-07-12", "lecturer": [ 1192 ], "location": "Boston, USA", "organization": "4th Symposium on Biological Data Visualization (in Conjunction with the International Conference on Intelligent Systems for Molecular Biology (ISMB 2014)) ", "pages_from": "1", "pages_to": "22", "publisher": "IEEE Digital Library", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 511, "image_height": 433, "name": "kolesar-ivan-2014-polymers-image.jpg", "type": "image/jpeg", "size": 26704, "path": "Publication:kolesar-ivan-2014-polymers", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kolesar-ivan-2014-polymers-paper.pdf", "type": "application/pdf", "size": 1642885, "path": "Publication:kolesar-ivan-2014-polymers", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/", "__class": "Publication" }, { "id": "lemuzic-2014-ivm", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Illustrative Visualization of Molecular Reactions using Omniscient Intelligence and Passive Agents ", "date": "2014-06", "abstract": "In this paper we propose a new type of a particle systems, tailored for illustrative visualization purposes, in particular for visualizing molecular reactions in biological networks. Previous visualizations of biochemical processes were exploiting the results of agent-based modeling. Such modeling aims at reproducing accurately the stochastic nature of molecular interactions. However, it is impossible to expect events of interest happening at a certain time and location, which is impractical for storytelling. To obtain the means of controlling molecular interactions, we propose to govern passive agents with an omniscient intelligence, instead of giving to the agents the freedom of initiating reaction autonomously. This makes it possible to generate illustrative animated stories that communicate the functioning of the molecular machinery. The rendering performance delivers for interactive framerates of massive amounts of data, based on the dynamic tessellation capabilities of modern graphics cards. Finally, we report an informal expert feedback we obtained from the potential users.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1027, "image_height": 1027, "name": "lemuzic-2014-ivm-image.jpg", "type": "image/jpeg", "size": 399463, "path": "Publication:lemuzic-2014-ivm", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189, 1143, 1190, 171 ], "date_from": "2014-06-09", "date_to": "2014-06-13", "event": "EuroVis", "journal": "Computer Graphics Forum", "lecturer": [ 1189 ], "location": "Swansea, Wales, UK", "note": "Article first published online: 12 JUL 2014", "number": "3", "pages_from": "141", "pages_to": "150", "volume": "33", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12370/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1027, "image_height": 1027, "name": "lemuzic-2014-ivm-image.jpg", "type": "image/jpeg", "size": 399463, "path": "Publication:lemuzic-2014-ivm", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lemuzic-2014-ivm-paper.pdf", "type": "application/pdf", "size": 2888693, "path": "Publication:lemuzic-2014-ivm", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1920, "preview_image_height": 1080, "name": "lemuzic-2014-ivm-video.mp4", "type": "video/mp4", "size": 288142406, "path": "Publication:lemuzic-2014-ivm", "preview_name": "lemuzic-2014-ivm-video:preview.png", "preview_type": "image/jpeg", "preview_size": 33186, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-video:video.mp4" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/", "__class": "Publication" }, { "id": "Viola_Ivan_CLD", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Continuous Levels-of-Detail and Visual Abstraction for Seamless Molecular Visualization", "date": "2014-05", "abstract": "Molecular visualization is often challenged with rendering of large molecular structures in real time. We introduce a novel approach that enables us to show even large protein complexes. Our method is based on the level-of-detail concept, where we exploit three different abstractions combined in one visualization. Firstly, molecular surface abstraction exploits three different surfaces, solvent-excluded surface (SES), Gaussian kernels and van der Waals spheres, combined as one surface by linear interpolation. Secondly, we introduce three shading abstraction levels and a method for creating seamless transitions between these representations. The SES representation with full shading and added contours stands in focus while on the other side a sphere representation of a cluster of atoms with constant shading and without contours provide the context. Thirdly, we propose a hierarchical abstraction based on a set of clusters formed on molecular atoms. All three abstraction models are driven by one importance function classifying the scene into the near-, mid- and far-field. Moreover, we introduce a methodology to render the entire molecule directly using the A-buffer technique, which further improves the performance. The rendering performance is evaluated on series of molecules of varying atom counts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 904, "image_height": 1414, "name": "Viola_Ivan_CLD-.jpg", "type": "image/jpeg", "size": 1057574, "path": "Publication:Viola_Ivan_CLD", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/Viola_Ivan_CLD-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/Viola_Ivan_CLD-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1143, 1185, 951, 161, 1186, 171 ], "issn": "0167-7055", "journal": "Computer Graphics Forum", "number": "6", "pages_from": "276", "pages_to": "287", "volume": "33", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "clustering", "implicit surfaces", "level of detail algorithms", "scientific visualization", "Computer Applications" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12349/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 904, "image_height": 1414, "name": "Viola_Ivan_CLD-.jpg", "type": "image/jpeg", "size": 1057574, "path": "Publication:Viola_Ivan_CLD", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/Viola_Ivan_CLD-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/Viola_Ivan_CLD-:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/", "__class": "Publication" }, { "id": "lemuzic_2014_ipv", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Illustrative Visualization of Biochemical Processes Featuring Multiple Temporal Scales", "date": "2014", "abstract": "Scientific illustrators are commonly using structural description of molecular compounds when depicting complex biochemical processes. However, computational biology also provides procedural models describing the function of biological processes which are not currently used in the production pipeline. Instead, animators utilize scientific knowledge to manually animate and reproduce the functioning of cellular biology. We would like to explore the use of such models in order to generate explanatory illustrations that would show how molecular machinery works. Particle-based simulations provide the means for spatially representing the dynamics of biochemical processes. They compute the positions of each single particle and are supposed to \nmimic a realistic behaviour of the metabolites. Current mesoscale visualization also allows to directly show the results of such simulations by mapping the positions of particles in a virtual 3D environment. Nevertheless, some biochemical processes, like the DNA repair for instance, exhibit temporal multiscale aspects because they comprise diffusion rates which are much greater in comparison with reaction rates. As a result, it is challenging to produce a clear and coherent visualization out of this type of simulation. Indeed, when viewing the process at the pace which would let us see the reactions, it becomes impossible for the human eye to keep track of individual elements because of the very large diffusion displacements. On the other hand, if one would playback the simulation slow enough to be see a steady motion of individual elements, then only a very few number of reactions would occur in a reasonable amount of time. In this work we propose to solve the problem associated with multiple temporal scales by providing means for spatial. With this approach we aim at showing the two different temporal scale at the same time by using advanced trajectory smoothing mechanism. This would allow us to see individual elements while showing a world full of reactions, hence enabling us to communicate complex biological processes and molecular machineries in a comprehensive way.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "lemuzic_2014_ipv-.pdf", "type": "application/pdf", "size": 823052, "path": "Publication:lemuzic_2014_ipv", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/lemuzic_2014_ipv-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/lemuzic_2014_ipv-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189, 1143, 1110, 171 ], "date_from": "2014-09-04", "date_to": "2014-09-05", "event": "Eurographics Workshop on Visual Computing for Biology", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "lemuzic_2014_ipv-.pdf", "type": "application/pdf", "size": 823052, "path": "Publication:lemuzic_2014_ipv", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/lemuzic_2014_ipv-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/lemuzic_2014_ipv-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/", "__class": "Publication" }, { "id": "Viola_Ivan_2013_VCA", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Visual cavity analysis in molecular simulations", "date": "2013-11", "abstract": "Molecular surfaces provide a useful mean for analyzing interactions between biomolecules; such as identification and characterization of ligand binding sites to a host macromolecule. We present a novel technique, which extracts potential binding sites, represented by cavities, and characterize them by 3D graphs and by amino acids. The binding sites are extracted using an implicit function sampling and graph algorithms. We propose an advanced cavity exploration technique based on the graph parameters and associated amino acids. Additionally, we interactively visualize the graphs in the context of the molecular surface. We apply our method to the analysis of MD simulations of Proteinase 3, where we verify the previously described cavities and suggest a new potential cavity to be studied.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1200, "image_height": 842, "name": "Viola_Ivan_2013_VCA-Image.png", "type": "image/png", "size": 602206, "path": "Publication:Viola_Ivan_2013_VCA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/Viola_Ivan_2013_VCA-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/Viola_Ivan_2013_VCA-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1143, 1144, 1145, 171 ], "issn": "1471-2105", "journal": "BMC Bioinformatics", "number": "Suppl 19:S4 ", "pages_from": "1", "pages_to": "15", "volume": "14", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [ { "href": "http://www.biomedcentral.com/1471-2105/14/S19/S4", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1200, "image_height": 842, "name": "Viola_Ivan_2013_VCA-Image.png", "type": "image/png", "size": 602206, "path": "Publication:Viola_Ivan_2013_VCA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/Viola_Ivan_2013_VCA-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/Viola_Ivan_2013_VCA-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_2013_VCA-Paper.pdf", "type": "application/pdf", "size": 3740580, "path": "Publication:Viola_Ivan_2013_VCA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/Viola_Ivan_2013_VCA-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/Viola_Ivan_2013_VCA-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/", "__class": "Publication" }, { "id": "Viola_2013_IDV", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Importance Driven Visualization of Molecular Surfaces", "date": "2013-10", "abstract": "We present a novel rendering method, based on the level-of-detail concept, which shows protein complexes over time in real-time. We exploit three different molecular surface models, solvent excluded surface (SES), Gaussian kernels and van der Waals spheres combined in one seamless visualization. As a general rule, closest to the viewer we aim at providing a maximum of relevant information related to the structure and binding sites. Such information is conveyed by the SES representation. Farther away from the viewer, we are smoothly changing the visual representation to an approximation of SES through Gaussian kernels. The least detailed representation is based on simple sphere splatting and is dedicated to structures farthest away from the viewer. A more general solution leads us to the definition of a 3D importance function that is based on the distance measure from a molecular feature. In order to preserve smoothness in transition areas, we introduce three shading levels that correspond to their geometric counterparts and a method for creating seamless transition between these representations. The SES representation with full shading and added contours stands in focus while on the other side a sphere representation with constant shading and without contours provide the context. Moreover, we introduce a methodology to render the entire molecule directly using the A-buffer technique, which further improves the performance. The rendering performance is evaluated on series of molecules of varying atom counts.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 452, "image_height": 481, "name": "Viola_2013_IDV-Image.png", "type": "image/png", "size": 235139, "path": "Publication:Viola_2013_IDV", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/Viola_2013_IDV-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/Viola_2013_IDV-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1143, 951, 171 ], "date_from": "2013-10-13", "date_to": "2013-10-14", "event": "3rd IEEE Symposium on Biological Data Visualization", "location": "Atlanta, GA", "publisher": "BioVis website (http://www.biovis.net/year/2013/posters)", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 452, "image_height": 481, "name": "Viola_2013_IDV-Image.png", "type": "image/png", "size": 235139, "path": "Publication:Viola_2013_IDV", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/Viola_2013_IDV-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/Viola_2013_IDV-Image:thumb{{size}}.png" }, { "description": "", "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_2013_IDV-Poster.pdf", "type": "application/pdf", "size": 1251142, "path": "Publication:Viola_2013_IDV", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/Viola_2013_IDV-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/Viola_2013_IDV-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/", "__class": "Publication" }, { "id": "Viola_Ivan_2013_GS", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Geological storytelling", "date": "2013-08", "abstract": "Developing structural geological models from exploratory subsea imaging is difficult and an ill-posed process. The structural geological processes that take place in the subsurface are both complex and time-dependent. We present Geological Storytelling, a novel graphical system for performing rapid and expressive geomodeling. Geologists can convey geological stories that externalize both their model and the reasoning process behind it through our simple, yet expressive sketch-based, flip-over canvases. This rapid modeling interface makes it easy to construct a large variety of geological stories, and our story tree concept facilitates easy management and the exploration of these alternatives. The stories are then animated and the geologists can examine and compare them to identify the most plausible models. Finally, the geological stories can be presented as illustrative animations of automatically synthesized 3D models, which efficiently communicate the complex geological evolution to non-experts and decision makers. Geological storytelling provides a complete pipeline from the ideas and knowledge in the mind of the geologist, through externalized artifacts specialized for discussion and knowledge dissemination among peer-experts, to automatically rendered illustrative 3D animations for communication to lay audience. We have developed geological storytelling in collaboration with domain experts that work with the modeling challenges on a daily basis. For evaluation, we have developed a geological storytelling prototype and presented it to experts and academics from the geosciences. In their feedback, they acknowledge that the rapid and expressive sketching of stories can make them explore more alternatives and that the 3D illustrative animations assist in communicating their models.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 500, "image_height": 435, "name": "Viola_Ivan_2013_GS-.jpg", "type": "image/jpeg", "size": 53391, "path": "Publication:Viola_Ivan_2013_GS", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_GS/Viola_Ivan_2013_GS-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_GS/Viola_Ivan_2013_GS-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1150, 1151, 616, 176, 171 ], "issn": "0097-8493", "journal": "Computer & Graphics", "number": "5", "pages_from": "445", "pages_to": "459", "volume": "37", "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://dx.doi.org/10.1016/j.cag.2013.01.010", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 500, "image_height": 435, "name": "Viola_Ivan_2013_GS-.jpg", "type": "image/jpeg", "size": 53391, "path": "Publication:Viola_Ivan_2013_GS", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_GS/Viola_Ivan_2013_GS-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_GS/Viola_Ivan_2013_GS-:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_GS/", "__class": "Publication" }, { "id": "Viola_Ivan_2013_RMA", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Rule-based method for automatic scaffold assembly from 3D building models", "date": "2013-06", "abstract": "To manually specify an optimal scaffold assembly for a given building geometry is a time consuming task. Our goal is to automate the process of selecting and placing scaffold components in order to design an optimal scaffold assembly for a specific building. The resulting assembly must be possible to construct in practice, should be practical to use for the workers, must satisfy governmental rules and regulations and should ideally result in minimum accumulated component cost. We propose a novel procedural modeling pipeline based on an input house model. First we extract vital coordinates from the house model that define the 3D scaffold placement. These coordinates are the basis for defining the positioning of scaffold cells. In the next step we populate the cells with actual scaffold components geometry. The resulting model is visualized to assist the assembly process. Additionally it is decomposed into elementary building blocks to produce assembly component lists to estimate the scaffold cost estimates, compute the weight for transportation and packing of components from a warehouse. The result from the automated process is compared to scaffold design produced manually by a professional scaffold designer.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 867, "image_height": 521, "name": "Viola_Ivan_2013_RMA-Image.png", "type": "image/png", "size": 325286, "path": "Publication:Viola_Ivan_2013_RMA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RMA/Viola_Ivan_2013_RMA-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RMA/Viola_Ivan_2013_RMA-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1146, 1147, 1148, 1149, 171 ], "issn": "0097-8493", "journal": "Computer & Graphics", "number": "4", "pages_from": "256", "pages_to": "268", "volume": "37", "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [ { "href": "http://dx.doi.org/10.1016/j.cag.2013.01.007", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 867, "image_height": 521, "name": "Viola_Ivan_2013_RMA-Image.png", "type": "image/png", "size": 325286, "path": "Publication:Viola_Ivan_2013_RMA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RMA/Viola_Ivan_2013_RMA-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RMA/Viola_Ivan_2013_RMA-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RMA/", "__class": "Publication" }, { "id": "Viola_Ivan_2013_RSb", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Rapid Sketch-based 3D Modeling of Geology", "date": "2013-06", "abstract": "We present and compare two different approaches for performing rapid 3D geological modeling. The ad-hoc\napproach is based on a composition of many specialized modeling functions, while the generic approach provides\none powerful, generic modeling function. Our experiences after developing these two approaches are that the\nsolution space of 3D geological modeling is more extensive than we initially expected and most likely larger than\nfor other modeling domains such as architecture. Further, more research is needed to investigate whether it is\npossible to find one well defined toolset of sketching metaphors that is able to cover all of geological modeling.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1792, "image_height": 712, "name": "Viola_Ivan_2013_RSb-.png", "type": "image/png", "size": 543050, "path": "Publication:Viola_Ivan_2013_RSb", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RSb/Viola_Ivan_2013_RSb-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RSb/Viola_Ivan_2013_RSb-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1150, 1165, 616, 171 ], "booktitle": "Proceedings of EnvirVis Short Papers 2013, 2013", "date_from": "2013-06-17", "date_to": "2013-06-18", "lecturer": [ 1150 ], "location": "Leipzig, Germany", "note": "Workshop on Visualisation in Environmental Sciences (EnvirVis) (2013)", "organization": "Euro Vis 2013", "pages_from": "1", "pages_to": "5", "publisher": "Springer", "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1792, "image_height": 712, "name": "Viola_Ivan_2013_RSb-.png", "type": "image/png", "size": 543050, "path": "Publication:Viola_Ivan_2013_RSb", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RSb/Viola_Ivan_2013_RSb-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RSb/Viola_Ivan_2013_RSb-:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_2013_RSb-Paper.pdf", "type": "application/pdf", "size": 2574610, "path": "Publication:Viola_Ivan_2013_RSb", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RSb/Viola_Ivan_2013_RSb-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RSb/Viola_Ivan_2013_RSb-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RSb/", "__class": "Publication" }, { "id": "2013_Viola_Ivan_2013_MTS", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Modeling Terrains and Subsurface Geology", "date": "2013-05", "abstract": "The process of creating terrain and landscape models is important in a variety of computer graphics and visualization\r\napplications, from films and computer games, via flight simulators and landscape planning, to scientific\r\nvisualization and subsurface modelling. Interestingly, the modelling techniques used in this large range of application\r\nareas have started to meet in the last years. In this state-of-the-art report, we present two taxonomies of\r\ndifferent modelling methods. Firstly we present a data oriented taxonomy, where we divide modelling into three\r\ndifferent scenarios: the data-free, the sparse-data and the dense-data scenario. Then we present a workflow oriented\r\ntaxonomy, where we divide modelling into the separate stages necessary for creating a geological model. We\r\nstart the report by showing that the new trends in geological modelling are approaching the modelling methods\r\nthat have been developed in computer graphics. We then give an introduction to the process of geological modelling\r\nfollowed by our two taxonomies with descriptions and comparisons of selected methods. Finally we discuss\r\nthe challenges and trends in geological modelling.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1394, "image_height": 894, "name": "2013_Viola_Ivan_2013_MTS-.png", "type": "image/png", "size": 192713, "path": "Publication:2013_Viola_Ivan_2013_MTS", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/2013_Viola_Ivan_2013_MTS/2013_Viola_Ivan_2013_MTS-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/2013_Viola_Ivan_2013_MTS/2013_Viola_Ivan_2013_MTS-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1151, 1150, 1143, 171, 616 ], "booktitle": "INPROCEEDINGS, EuroGraphics 2013 State of the Art Reports (STARs), 2013", "date_from": "2013-05-06", "date_to": "2013-05-10", "lecturer": [ 1151 ], "location": "Girona, Spain", "organization": "Eurographics", "pages_from": "155", "pages_to": "173", "publisher": "Eurographics 2013 - State of the Art Reports", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1394, "image_height": 894, "name": "2013_Viola_Ivan_2013_MTS-.png", "type": "image/png", "size": 192713, "path": "Publication:2013_Viola_Ivan_2013_MTS", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/2013_Viola_Ivan_2013_MTS/2013_Viola_Ivan_2013_MTS-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/2013_Viola_Ivan_2013_MTS/2013_Viola_Ivan_2013_MTS-:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "2013_Viola_Ivan_2013_MTS-Paper.pdf", "type": "application/pdf", "size": 1724489, "path": "Publication:2013_Viola_Ivan_2013_MTS", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/2013_Viola_Ivan_2013_MTS/2013_Viola_Ivan_2013_MTS-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/2013_Viola_Ivan_2013_MTS/2013_Viola_Ivan_2013_MTS-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/2013_Viola_Ivan_2013_MTS/", "__class": "Publication" }, { "id": "Viola_Ivan_2013_D3D", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Doppler-based 3D Blood Flow Imaging and Visualization", "date": "2013-05", "abstract": "Blood flow is a very important part of human physiology. In this paper, we present a new method for estimating and visualizing 3D blood flow on-the-fly based on Doppler ultrasound. We add semantic information about the geometry of the blood vessels in order to recreate the actual velocities of the blood. Assuming a laminar flow, the flow direction is related to the general direction of the vessel. Based on the center line of the vessel, we create a vector field representing\nthe direction of the vessel at any given point. The actual flow velocity is then estimated from the Doppler ultrasound signal by back-projecting the velocity in the measured direction, onto the vessel direction. Additionally, we estimate the flux at user-selected cross-sections of the vessel by integrating the velocities over the area of the cross-section.\n\nIn order to visualize the flow and the flux, we propose a visualization\ndesign based on traced particles colored by the flux. The velocities\nare visualized by animating particles in the flow field. Further, we propose a novel particle velocity legend as a means for the user to estimate the numerical value of the current velocity. Finally, we perform an evaluation of the technique where the accuracy of the velocity estimation is measured using a 4D MRI dataset as a basis for the ground truth.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 788, "image_height": 984, "name": "Viola_Ivan_2013_D3D-.png", "type": "image/png", "size": 161208, "path": "Publication:Viola_Ivan_2013_D3D", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_D3D/Viola_Ivan_2013_D3D-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_D3D/Viola_Ivan_2013_D3D-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1007, 1147, 1159, 1160, 1161, 171 ], "booktitle": "SCCG 2013 - 29th Proceedings Spring conference on Computer Graphics", "date_from": "2013-05-01", "date_to": "2013-05-03", "isbn": "978-80-223-3377-1", "lecturer": [ 1007 ], "location": "Smolenice, Slovak Republic", "pages_from": "128", "pages_to": "135", "publisher": "ACM Publishing House", "research_areas": [ "MedVis" ], "keywords": [ "Medical Visualization", "Biomedical" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 788, "image_height": 984, "name": "Viola_Ivan_2013_D3D-.png", "type": "image/png", "size": 161208, "path": "Publication:Viola_Ivan_2013_D3D", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_D3D/Viola_Ivan_2013_D3D-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_D3D/Viola_Ivan_2013_D3D-:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_2013_D3D-Paper.pdf", "type": "application/pdf", "size": 5312004, "path": "Publication:Viola_Ivan_2013_D3D", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_D3D/Viola_Ivan_2013_D3D-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_D3D/Viola_Ivan_2013_D3D-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_D3D/", "__class": "Publication" }, { "id": "Viola_Ivan_2013_HQ3", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "High-Quality 3D Visualization of In-Situ Ultrasonography", "date": "2013-05", "abstract": "In recent years medical ultrasound has experienced a rapid development in the quality of real-time 3D ultrasound\n(US) imaging. The image quality of the 3D volume that was previously possible to achieve within the range of a\nfew seconds, is now possible in a fraction of a second. This technological advance offers entirely new opportunities for the use of US in the clinic. In our project, we investigate how real-time 3D US can be combined with high-performance processing of today’s graphics hardware to allow for high-quality 3D visualization and precise navigation during the examination.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1168, "image_height": 669, "name": "Viola_Ivan_2013_HQ3-.jpg", "type": "image/jpeg", "size": 370272, "path": "Publication:Viola_Ivan_2013_HQ3", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/Viola_Ivan_2013_HQ3-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/Viola_Ivan_2013_HQ3-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 1007, 896, 1162, 176, 1163, 1159, 1147, 1164, 1160, 1161 ], "booktitle": "EG 2013 - Dirk Bartz Prize", "date_from": "2013-05-06", "date_to": "2013-05-10", "lecturer": [ 171 ], "location": "Girona, Spain", "note": "1st Prize - Medical Prize Short Paper", "pages_from": "1", "pages_to": "4", "publisher": "Eurogrpahics", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1168, "image_height": 669, "name": "Viola_Ivan_2013_HQ3-.jpg", "type": "image/jpeg", "size": 370272, "path": "Publication:Viola_Ivan_2013_HQ3", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/Viola_Ivan_2013_HQ3-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/Viola_Ivan_2013_HQ3-:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_2013_HQ3-Paper.pdf", "type": "application/pdf", "size": 4037432, "path": "Publication:Viola_Ivan_2013_HQ3", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/Viola_Ivan_2013_HQ3-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/Viola_Ivan_2013_HQ3-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/", "__class": "Publication" }, { "id": "Viola_Ivan_2013_SVA", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Seamless Visual Abstraction of Molecular Surfaces", "date": "2013-05", "abstract": "Molecular visualization is often challenged with rendering of large\nsequences of molecular simulations in real time. We introduce a\nnovel approach that enables us to show even large protein complexes\nover time in real-time. Our method is based on the level-ofdetail\nconcept, where we exploit three different molecular surface\nmodels, solvent excluded surface (SES), Gaussian kernels and van\nder Waals spheres combined in one visualization. We introduce\nthree shading levels that correspond to their geometric counterparts\nand a method for creating seamless transition between these representations.\nThe SES representation with full shading and added\ncontours stands in focus while on the other side a sphere representation\nwith constant shading and without contours provide the\ncontext. Moreover, we introduce a methodology to render the entire\nmolecule directly using the A-buffer technique, which further\nimproves the performance. The rendering performance is evaluated\non series of molecules of varying atom counts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1935, "image_height": 1564, "name": "Viola_Ivan_2013_SVA-.png", "type": "image/png", "size": 1049474, "path": "Publication:Viola_Ivan_2013_SVA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1143, 951, 171 ], "booktitle": "SCCG 2013 - 29th Proceedings Spring conference on Computer Graphics", "date_from": "2013-05-01", "date_to": "2013-05-03", "editor": "Roman Durikovič, Holly Rushmeier", "isbn": "978-80-223-3377-1", "lecturer": [ 1143 ], "location": "Smolenice, Slovak Republic", "organization": "Comenius University, Bratislava", "pages_from": "120", "pages_to": "127", "publisher": "ACM Publishing House", "series": " SCCG '13", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "Implicit Surfaces", " Level-of-detail", "Visualization of Molecular Surfaces" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1935, "image_height": 1564, "name": "Viola_Ivan_2013_SVA-.png", "type": "image/png", "size": 1049474, "path": "Publication:Viola_Ivan_2013_SVA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_2013_SVA-Paper.pdf", "type": "application/pdf", "size": 8039783, "path": "Publication:Viola_Ivan_2013_SVA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/", "__class": "Publication" }, { "id": "Viola_Ivan_2013_CAI", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Computer-aided image geometry analysis and subset selection for optimizing texture quality in photorealistic models", "date": "2013-03", "abstract": "Photorealistic 3D models are used for visualization, interpretation and spatial measurement in many disciplines, such as cultural heritage, archaeology and geoscience. Using modern image- and laser-based 3D modelling techniques, it is normal to acquire more data than is finally used for 3D model texturing, as images may be acquired from multiple positions, with large overlap, or with different cameras and lenses. Such redundant image sets require sorting to restrict the number of images, increasing the processing efficiency and realism of models. However, selection of image subsets optimized for texturing purposes is an example of complex spatial analysis. Manual selection may be challenging and time-consuming, especially for models of rugose topography, where the user must account for occlusions and ensure coverage of all relevant model triangles. To address this, this paper presents a framework for computer-aided image geometry analysis and subset selection for optimizing texture quality in photorealistic models. The framework was created to offer algorithms for candidate image subset selection, whilst supporting refinement of subsets in an intuitive and visual manner. Automatic image sorting was implemented using algorithms originating in computer science and information theory, and variants of these were compared using multiple 3D models and covering image sets, collected for geological applications. The image subsets provided by the automatic procedures were compared to manually selected sets and their suitability for 3D model texturing was assessed. Results indicate that the automatic sorting algorithms are a promising alternative to manual methods. An algorithm based on a greedy solution to the weighted set-cover problem provided image sets closest to the quality and size of the manually selected sets. The improved automation and more reliable quality indicators make the photorealistic model creation workflow more accessible for application experts, increasing the user’s confidence in the final textured model completeness.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1434, "image_height": 1027, "name": "Viola_Ivan_2013_CAI-.png", "type": "image/png", "size": 1112522, "path": "Publication:Viola_Ivan_2013_CAI", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_CAI/Viola_Ivan_2013_CAI-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_CAI/Viola_Ivan_2013_CAI-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1152, 1153, 608, 207, 1156, 171, 1157 ], "journal": "Computers & Geosciences", "pages_from": "281", "pages_to": "291", "volume": "52", "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://dx.doi.org/10.1016/j.cageo.2012.11.004", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1434, "image_height": 1027, "name": "Viola_Ivan_2013_CAI-.png", "type": "image/png", "size": 1112522, "path": "Publication:Viola_Ivan_2013_CAI", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_CAI/Viola_Ivan_2013_CAI-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_CAI/Viola_Ivan_2013_CAI-:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_CAI/", "__class": "Publication" }, { "id": "Viola_Ivan_2013_DC", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Declarative Visualization", "date": "2013", "abstract": "Visualization algorithms are nowadays formalized in an imperative\r\nmanner, i.e. the algorithm is explicitly executed on input data and\r\ndictates a determined visualization outcome. The efficiency of such\r\nan algorithm is measured by means of the computational performance,\r\ndata-scalability and user studies. In my talk I will speculate on a\r\nnovel theoretical concept for the development of new visualization\r\nmethodology that becomes ultimately declarative and algorithm-free, by\r\nmoving the user study from a validation stage into the center of the\r\niterative design stage. Initial visualization from input data is\r\nconsidered as the first design draft, which will undergo several\r\nrevisions. This draft can be achieved by executing a traditional\r\nimperative algorithm or it can even be hand-crafted by a skilled\r\nillustrator. A consequent user study of initial visualization will\r\ntrigger computational synthesis of a new, quantitatively more\r\neffective visualization technique. The visualization designs developed\r\nthrough several iterations of the study-redesign cycle will become\r\ndeclarative, aiming at optimally satisfying the purpose of the\r\nvisualization, instead of explicit execution of algorithms on the\r\ninput data. The declarative component will be specified by collected\r\nuser statistics from completing certain perceptual or cognitive tasks.\r\nThe user statistics will be analyzed for systematic trends in human\r\nperceptual and cognitive performance. These trends will form a basis\r\nfor visualization redesign. Final satisfactory visualization will\r\nevolve over several design iterations.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1370, "image_height": 462, "name": "Viola_Ivan_2013_DC-Image.png", "type": "image/png", "size": 55711, "path": "Publication:Viola_Ivan_2013_DC", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_DC/Viola_Ivan_2013_DC-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_DC/Viola_Ivan_2013_DC-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "date_from": "2013-05-02", "event": "SCCG 2013", "location": "Smolenice castle, Slovakia", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1370, "image_height": 462, "name": "Viola_Ivan_2013_DC-Image.png", "type": "image/png", "size": 55711, "path": "Publication:Viola_Ivan_2013_DC", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_DC/Viola_Ivan_2013_DC-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_DC/Viola_Ivan_2013_DC-Image:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_2013_DC-Paper.pdf", "type": "application/pdf", "size": 2753818, "path": "Publication:Viola_Ivan_2013_DC", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_DC/Viola_Ivan_2013_DC-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_DC/Viola_Ivan_2013_DC-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_DC/", "__class": "Publication" }, { "id": "Birkeland-2012-IMC", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Illustrative Membrane Clipping", "date": "2012-06", "abstract": "Clipping is a fast, common technique for resolving occlusions. It only requires simple interaction, is easily understandable,\nand thus has been very popular for volume exploration. However, a drawback of clipping is that the\ntechnique indiscriminately cuts through features. Illustrators, for example, consider the structures in the vicinity\nof the cut when visualizing complex spatial data and make sure that smaller structures near the clipping plane are\nkept in the image and not cut into fragments. In this paper we present a new technique, which combines the simple\nclipping interaction with automated selective feature preservation using an elastic membrane. In order to prevent\ncutting objects near the clipping plane, the deformable membrane uses underlying data properties to adjust itself\nto salient structures. To achieve this behaviour, we translate data attributes into a potential field which acts on the\nmembrane, thus moving the problem of deformation into the soft-body dynamics domain. This allows us to exploit\nexisting GPU-based physics libraries which achieve interactive frame rates. For manual adjustment, the user can\ninsert additional potential fields, as well as pinning the membrane to interesting areas. We demonstrate that our\nmethod can act as a flexible and non-invasive replacement of traditional clipping planes.", "authors_et_al": false, "substitute": null, "main_image": { "description": "The hippocampus in a mouse brain imaged using ultramicroscopy", "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1027, "image_height": 609, "name": "Birkeland-2012-IMC-Teaser.jpg", "type": "image/jpeg", "size": 187433, "path": "Publication:Birkeland-2012-IMC", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1007, 161, 1008, 171 ], "date_from": "2012-06-05", "date_to": "2012-06-08", "event": "EuroVis 2012", "journal": "Computer Graphics Forum", "lecturer": [ 1007 ], "location": "Vienna, Austria", "note": "presented at EuroVis 2012", "number": "3", "pages_from": "905", "pages_to": "914", "volume": "31", "research_areas": [ "IllVis", "MedVis" ], "keywords": [ "illustrative visualization", "volume rendering", "clipping" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2012.03083.x/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Birkeland-2012-IMC-Paper.pdf", "type": "application/pdf", "size": 21540990, "path": "Publication:Birkeland-2012-IMC", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Paper:thumb{{size}}.png" }, { "description": "The hippocampus in a mouse brain imaged using ultramicroscopy", "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1027, "image_height": 609, "name": "Birkeland-2012-IMC-Teaser.jpg", "type": "image/jpeg", "size": 187433, "path": "Publication:Birkeland-2012-IMC", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser:thumb{{size}}.png" }, { "description": "Video Demonstration", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 800, "preview_image_height": 600, "name": "Birkeland-2012-IMC-Video.wmv", "type": "text/plain", "size": 26372220, "path": "Publication:Birkeland-2012-IMC", "preview_name": "Birkeland-2012-IMC-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 15856, "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Video.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Video:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/", "__class": "Publication" }, { "id": "Ford-2012-HRV", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "HeartPad: Real-Time Visual Guidance for Cardiac Ultrasound", "date": "2012", "abstract": "Medical ultrasound is a challenging modality when it comes to image interpretation. The goal we address in this work is to assist the ultrasound examiner and partially alleviate the burden of interpretation. We propose to address this goal with visualization that provides clear cues on the orientation and the correspondence between anatomy and the data being imaged. Our system analyzes the stream of 3D ultrasound data and in real-time identifies distinct features that are basis for a dynamically deformed mesh model of the heart. The heart mesh is composited with the original ultrasound data to create the data-to-anatomy correspondence. The visualization is broadcasted over the internet allowing, among other opportunities, a direct visualization on the patient on a tablet computer. The examiner interacts with the transducer and with the visualization parameters on the tablet. Our system has been characterized by domain specialist as useful in medical training and for navigating occasional ultrasound users.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Real-time visual guidance for ultrasound examinations on an iPad", "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 525, "image_height": 392, "name": "Ford-2012-HRV-Teaser.jpg", "type": "image/jpeg", "size": 74368, "path": "Publication:Ford-2012-HRV", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/Ford-2012-HRV-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/Ford-2012-HRV-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1067, 1068, 171, 161, 1069 ], "booktitle": "Proceedings of the Workshop at SIGGRAPH Asia 2012", "lecturer": [ 1067 ], "research_areas": [ "MedVis" ], "keywords": [ "medical visualization", "ultrasound" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Ford-2012-HRV-Paper.pdf", "type": "application/pdf", "size": 5227525, "path": "Publication:Ford-2012-HRV", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/Ford-2012-HRV-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/Ford-2012-HRV-Paper:thumb{{size}}.png" }, { "description": "Real-time visual guidance for ultrasound examinations on an iPad", "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 525, "image_height": 392, "name": "Ford-2012-HRV-Teaser.jpg", "type": "image/jpeg", "size": 74368, "path": "Publication:Ford-2012-HRV", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/Ford-2012-HRV-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/Ford-2012-HRV-Teaser:thumb{{size}}.png" }, { "description": "Demontration video", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 512, "preview_image_height": 288, "name": "Ford-2012-HRV-Video.mp4", "type": "video/mp4", "size": 37926015, "path": "Publication:Ford-2012-HRV", "preview_name": "Ford-2012-HRV-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 20136, "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/Ford-2012-HRV-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/Ford-2012-HRV-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/Ford-2012-HRV-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/", "__class": "Publication" }, { "id": "Balabanian-2010-IIV", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Interactive Illustrative Visualization of Hierarchical Volume Data", "date": "2010-06", "abstract": "In scientific visualization the underlying data often has an inherent\nabstract and hierarchical structure. Therefore, the same dataset\ncan simultaneously be studied with respect to its characteristics in\nthe three-dimensional space and in the hierarchy space. Often both\ncharacteristics are equally important to convey. For such scenarios\nwe explore the combination of hierarchy visualization and scientific\nvisualization, where both data spaces are effectively integrated.\nWe have been inspired by illustrations of species evolutions where\nhierarchical information is often present. Motivated by these traditional\nillustrations, we introduce integrated visualizations for hierarchically\norganized volumetric datasets. The hierarchy data is\ndisplayed as a graph, whose nodes are visually augmented to depict\nthe corresponding 3D information. These augmentations include\nimages due to volume raycasting, slicing of 3D structures, and indicators\nof structure visibility from occlusion testing. New interaction\nmetaphors are presented that extend visualizations and interactions,\ntypical for one visualization space, to control visualization parameters\nof the other space. Interaction on a node in the hierarchy influences\nvisual representations of 3D structures and vice versa. We\nintegrate both the abstract and the scientific visualizations into one\nview which avoids frequent refocusing typical for interaction with\nlinked-view layouts. We demonstrate our approach on different volumetric\ndatasets enhanced with hierarchical information.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1417, "image_height": 1313, "name": "Balabanian-2010-IIV-image.jpg", "type": "image/jpeg", "size": 197080, "path": "Publication:Balabanian-2010-IIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/Balabanian-2010-IIV-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/Balabanian-2010-IIV-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 673, 171, 166 ], "booktitle": "Proceedings of Graphics Interface 2010", "date_from": "2010-05-31", "date_to": "2010-06-02", "lecturer": [ 673 ], "location": "Ottawa, Ontario, Canada", "pages_from": "137", "pages_to": "144", "research_areas": [ "IllVis", "MedVis" ], "keywords": [ "visualization, volume data, hierarchical" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1417, "image_height": 1313, "name": "Balabanian-2010-IIV-image.jpg", "type": "image/jpeg", "size": 197080, "path": "Publication:Balabanian-2010-IIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/Balabanian-2010-IIV-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/Balabanian-2010-IIV-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Balabanian-2010-IIV-Paper.pdf", "type": "application/pdf", "size": 3410109, "path": "Publication:Balabanian-2010-IIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/Balabanian-2010-IIV-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/Balabanian-2010-IIV-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/", "__class": "Publication" }, { "id": "solteszova-2010-MOS", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "A Multidirectional Occlusion Shading Model for Direct Volume Rendering", "date": "2010-06", "abstract": "In this paper, we present a novel technique which simulates directional light scattering for more realistic interactive\nvisualization of volume data. Our method extends the recent directional occlusion shading model by enabling\nlight source positioning with practically no performance penalty. Light transport is approximated using a tilted\ncone-shaped function which leaves elliptic footprints in the opacity buffer during slice-based volume rendering.\nWe perform an incremental blurring operation on the opacity buffer for each slice in front-to-back order. This\nbuffer is then used to define the degree of occlusion for the subsequent slice. Our method is capable of generating\nhigh-quality soft shadowing effects, allows interactive modification of all illumination and rendering parameters,\nand requires no pre-computation.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Multidirectional Occlusion Shading Model for Direct Volume Rendering", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1000, "image_height": 1112, "name": "solteszova-2010-MOS-Image.jpg", "type": "image/jpeg", "size": 106005, "path": "Publication:solteszova-2010-MOS", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 896, 616, 161, 171 ], "date_from": "2010-06-09", "date_to": "2010-06-11", "event": "EuroVis 2010", "journal": "Computer Graphics Forum", "lecturer": [ 896 ], "number": "3", "pages_from": "883", "pages_to": "891", "volume": "29", "research_areas": [ "MedVis" ], "keywords": [ "global illumination", "volume rendering", "shadows", "optical model" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2009.01695.x/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "Multidirectional Occlusion Shading Model for Direct Volume Rendering", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1000, "image_height": 1112, "name": "solteszova-2010-MOS-Image.jpg", "type": "image/jpeg", "size": 106005, "path": "Publication:solteszova-2010-MOS", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "solteszova-2010-MOS-Paper.pdf", "type": "application/pdf", "size": 2580717, "path": "Publication:solteszova-2010-MOS", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Paper:thumb{{size}}.png" }, { "description": "Demonstration", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "solteszova-2010-MOS-Video.avi", "type": "video/x-msvideo", "size": 2787260, "path": "Publication:solteszova-2010-MOS", "preview_name": "solteszova-2010-MOS-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 38516, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/", "__class": "Publication" }, { "id": "patel-2010-SVV", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Seismic Volume Visualization for Horizon Extraction", "date": "2010-03", "abstract": "Seismic horizons indicate change in rock properties and are central in geoscience interpretation. Traditional interpretation systems involve time consuming and repetitive manual volumetric seeding for horizon growing. We present a novel system for rapidly interpreting and visualizing seismic volumetric data. First we extract horizon surface-parts by preprocessing the seismic data. Then during interaction the user can assemble in realtime the horizon parts into horizons. Traditional interpretation systems use gradient-based illumination models in the rendering of the seismic volume and polygon rendering of horizon surfaces. We employ realtime gradientfree forward-scattering in the rendering of seismic volumes yielding results similar to high-quality global illumination. We use an implicit surface representation of horizons allowing for a seamless integration of horizon rendering and volume rendering. We present a collection of novel techniques constituting an interpretation and visualization system highly tailored to seismic data interpretation.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 539, "image_height": 540, "name": "patel-2010-SVV-Image.jpg", "type": "image/jpeg", "size": 43839, "path": "Publication:patel-2010-SVV", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/patel-2010-SVV-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/patel-2010-SVV-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 616, 161, 171, 166 ], "booktitle": "Proceedings of IEEE Pacific Visualization 2010", "lecturer": [ 616 ], "location": "Taipei, Taiwan", "pages_from": "73", "pages_to": "80", "research_areas": [], "keywords": [ "volume visualization", "horizon extraction", "seismic data" ], "weblinks": [], "files": [ { "description": "Animation from Phong shading to forward-scattering shading", "filetitle": "film clip", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "patel-2010-SVV-film clip.wmv", "type": "text/plain", "size": 7541809, "path": "Publication:patel-2010-SVV", "preview_name": "patel-2010-SVV-film clip:preview.png", "preview_type": "image/jpeg", "preview_size": 30704, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/patel-2010-SVV-film clip.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/patel-2010-SVV-film clip:thumb{{size}}.png" }, { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 539, "image_height": 540, "name": "patel-2010-SVV-Image.jpg", "type": "image/jpeg", "size": 43839, "path": "Publication:patel-2010-SVV", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/patel-2010-SVV-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/patel-2010-SVV-Image:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "patel-2010-SVV-Paper.pdf", "type": "application/pdf", "size": 6450084, "path": "Publication:patel-2010-SVV", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/patel-2010-SVV-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/patel-2010-SVV-Paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/", "__class": "Publication" }, { "id": "bruckner-2010-HVC", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Hybrid Visibility Compositing and Masking for Illustrative Rendering", "date": "2010", "abstract": "In this paper, we introduce a novel framework for the compositing of interactively rendered 3D layers\ntailored to the needs of scientific illustration. Currently, traditional scientific illustrations are produced\nin a series of composition stages, combining different pictorial elements using 2D digital layering. Our\napproach extends the layer metaphor into 3D without giving up the advantages of 2D methods. The\nnew compositing approach allows for effects such as selective transparency, occlusion overrides, and\nsoft depth buffering. Furthermore, we show how common manipulation techniques such as masking\ncan be integrated into this concept. These tools behave just like in 2D, but their influence extends\nbeyond a single viewpoint. Since the presented approach makes no assumptions about the underlying\nrendering algorithms, layers can be generated based on polygonal geometry, volumetric data, pointbased\nrepresentations, or others. Our implementation exploits current graphics hardware and permits\nreal-time interaction and rendering.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 854, "image_height": 913, "name": "bruckner-2010-HVC-Image.jpg", "type": "image/jpeg", "size": 307188, "path": "Publication:bruckner-2010-HVC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 488, 171, 862, 565, 166 ], "journal": "Computers & Graphics", "number": "34", "pages_from": "361", "pages_to": "369", "research_areas": [ "IllVis", "MedVis" ], "keywords": [ "compositing", "masking", "illustration" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 854, "image_height": 913, "name": "bruckner-2010-HVC-Image.jpg", "type": "image/jpeg", "size": 307188, "path": "Publication:bruckner-2010-HVC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2010-HVC-Preprint.pdf", "type": "application/pdf", "size": 2234448, "path": "Publication:bruckner-2010-HVC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Preprint:thumb{{size}}.png" }, { "description": "Interactive demonstration", "filetitle": "Video 1", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 852, "name": "bruckner-2010-HVC-Video 1.avi", "type": "video/x-msvideo", "size": 45092410, "path": "Publication:bruckner-2010-HVC", "preview_name": "bruckner-2010-HVC-Video 1:preview.png", "preview_type": "image/jpeg", "preview_size": 21243, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 1.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 1:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 1:video.mp4" }, { "description": "Computer-generated illustration of the reproductive system", "filetitle": "Video 2", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "bruckner-2010-HVC-Video 2.avi", "type": "video/x-msvideo", "size": 25411494, "path": "Publication:bruckner-2010-HVC", "preview_name": "bruckner-2010-HVC-Video 2:preview.png", "preview_type": "image/jpeg", "preview_size": 37959, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 2.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 2:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 2:video.mp4" }, { "description": "Computer-generated illustration of the human liver", "filetitle": "Video 3", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "bruckner-2010-HVC-Video 3.avi", "type": "video/x-msvideo", "size": 24452420, "path": "Publication:bruckner-2010-HVC", "preview_name": "bruckner-2010-HVC-Video 3:preview.png", "preview_type": "image/jpeg", "preview_size": 37344, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 3.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 3:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 3:video.mp4" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/", "__class": "Publication" }, { "id": "balabanian-2008-hvv", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Hierarchical Volume Visualization of Brain Anatomy", "date": "2008-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 508, "image_height": 498, "name": "balabanian-2008-hvv-image.jpg", "type": "image/jpeg", "size": 133084, "path": "Publication:balabanian-2008-hvv", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-hvv/balabanian-2008-hvv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-hvv/balabanian-2008-hvv-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 673, 749, 171, 750, 176, 166 ], "booktitle": "VMV 2008, Vision, Modeling and Visualization", "date_from": "2008-10-08", "date_to": "2008-10-10", "editor": "Oliver Deussen, Daniel Keim, Dietmar Saupe", "isbn": "978-3-89838-609-8", "lecturer": [ 673 ], "location": "Konstanz, Deutschland", "pages_from": "313", "pages_to": "322", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 508, "image_height": 498, "name": "balabanian-2008-hvv-image.jpg", "type": "image/jpeg", "size": 133084, "path": "Publication:balabanian-2008-hvv", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-hvv/balabanian-2008-hvv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-hvv/balabanian-2008-hvv-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "balabanian-2008-hvv-paper.pdf", "type": "application/pdf", "size": 8581321, "path": "Publication:balabanian-2008-hvv", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-hvv/balabanian-2008-hvv-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-hvv/balabanian-2008-hvv-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-hvv/", "__class": "Publication" }, { "id": "balabanian-2008-tst", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Temporal Styles for Time-Varying Volume Data", "date": "2008-06", "abstract": "This paper introduces interaction mechanisms for conveying\r\ntemporal characteristics of time-varying volume\r\ndata based on temporal styles. We demonstrate the flexibility\r\nof the new concept through different temporal style\r\ntransfer function types and we define a set of temporal compositors\r\nas operators on them. The data is rendered by a\r\nmulti-volume GPU raycaster that does not require any grid\r\nalignment over the individual time-steps of our data nor a\r\nrectilinear grid structure. The paper presents the applicability\r\nof the new concept on different data sets from partial\r\nto full voxel alignment with rectilinear and curvilinear grid\r\nlayout.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 3126, "image_height": 636, "name": "balabanian-2008-tst-image.jpg", "type": "image/jpeg", "size": 232966, "path": "Publication:balabanian-2008-tst", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-tst/balabanian-2008-tst-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-tst/balabanian-2008-tst-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 673, 171, 196, 166 ], "booktitle": "Proceedings of 3DPVT", "date_from": "2008-06-18", "date_to": "2008-06-20", "editor": "Stephan Gumhold, Jana Kosecka and Oliver Staadt", "lecturer": [ 673 ], "location": "Atlanta, Georgia, USA", "note": "POSTER PRESENTATION", "pages_from": "81", "pages_to": "89", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 3126, "image_height": 636, "name": "balabanian-2008-tst-image.jpg", "type": "image/jpeg", "size": 232966, "path": "Publication:balabanian-2008-tst", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-tst/balabanian-2008-tst-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-tst/balabanian-2008-tst-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "balabanian-2008-tst-paper.pdf", "type": "application/pdf", "size": 1685798, "path": "Publication:balabanian-2008-tst", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-tst/balabanian-2008-tst-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-tst/balabanian-2008-tst-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-tst/", "__class": "Publication" }, { "id": "Rautek-2008-kav", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Visual Abstractions and Interaction Metaphors for Knowledge Assisted Volume Visualization", "date": "2008", "abstract": "Extended abstract published at Knowledge-assisted Visualization Workshop (colocated with the IEEE Visualization 2008 conference): \r\n\r\nhttp://kav.cs.wright.edu/", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1105, "image_height": 814, "name": "Rautek-2008-kav-image.bmp", "type": "image/x-ms-bmp", "size": 2699278, "path": "Publication:Rautek-2008-kav", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/Rautek-2008-kav-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/Rautek-2008-kav-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488, 171 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1105, "image_height": 814, "name": "Rautek-2008-kav-image.bmp", "type": "image/x-ms-bmp", "size": 2699278, "path": "Publication:Rautek-2008-kav", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/Rautek-2008-kav-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/Rautek-2008-kav-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Rautek-2008-kav-paper.pdf", "type": "application/pdf", "size": 763946, "path": "Publication:Rautek-2008-kav", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/Rautek-2008-kav-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/Rautek-2008-kav-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/", "__class": "Publication" }, { "id": "Rautek-2008-VF", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Illustrative Visualization – New Technology or Useless Tautology?", "date": "2008", "abstract": "This article can be accessed online in the \nACM SIGGRAPH, Computer Graphics Quarterly, \nVolume 42, Number 3:\n\nhttp://www.siggraph.org/publications/newsletter/volume-42-number-3/illustrative-visualization-2013-new-technology-or-useless-tautology", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 265, "image_height": 135, "preview_image_width": 256, "preview_image_height": 127, "name": "Rautek-2008-VF-image.png", "type": "image/png", "size": 6939, "path": "Publication:Rautek-2008-VF", "preview_name": "Rautek-2008-VF-image:preview.png", "preview_type": "image/png", "preview_size": 7568, "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/Rautek-2008-VF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/Rautek-2008-VF-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488, 161, 166, 171 ], "note": "online journal, without talk", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 265, "image_height": 135, "preview_image_width": 256, "preview_image_height": 127, "name": "Rautek-2008-VF-image.png", "type": "image/png", "size": 6939, "path": "Publication:Rautek-2008-VF", "preview_name": "Rautek-2008-VF-image:preview.png", "preview_type": "image/png", "preview_size": 7568, "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/Rautek-2008-VF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/Rautek-2008-VF-image:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/", "__class": "Publication" }, { "id": "ruiz-2008-OVR", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Obscurance-based Volume Rendering Framework", "date": "2008", "abstract": "Obscurances, from which ambient occlusion is a particular case, is a technology that produces natural-looking lighting effects in a faster way than global illumination. Its application in volume visualization is of special interest since it permits us to generate a high quality rendering at a low cost. In this paper, we propose an obscurance-based framework that allows us to obtain realistic and illustrative volume visualizations in an interactive manner. Obscurances can include color bleeding effects without additional cost. Moreover, we obtain a saliency map from the gradient of obscurances and we show its application to enhance volume visualization and to select the most salient views.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Obscurances-based Volume Rendering", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 720, "image_height": 600, "name": "ruiz-2008-OVR-Image.jpg", "type": "image/jpeg", "size": 61553, "path": "Publication:ruiz-2008-OVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/ruiz-2008-OVR-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/ruiz-2008-OVR-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 741, 742, 171, 161, 608, 207 ], "booktitle": "Proceedings of Volume Graphics 2008", "lecturer": [ 207 ], "research_areas": [ "MedVis" ], "keywords": [ "volume rendering", "illustrative visualization", "ambient occlusion" ], "weblinks": [], "files": [ { "description": "Obscurances-based Volume Rendering", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 720, "image_height": 600, "name": "ruiz-2008-OVR-Image.jpg", "type": "image/jpeg", "size": 61553, "path": "Publication:ruiz-2008-OVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/ruiz-2008-OVR-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/ruiz-2008-OVR-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ruiz-2008-OVR-Paper.pdf", "type": "application/pdf", "size": 2216201, "path": "Publication:ruiz-2008-OVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/ruiz-2008-OVR-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/ruiz-2008-OVR-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/", "__class": "Publication" }, { "id": "ruiz-2008-SEV", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Similarity-based Exploded Views", "date": "2008", "abstract": "Exploded views are often used in illustration to overcome the problem of occlusion when depicting complex structures. In this paper, we propose a volume visualization technique inspired by exploded views that partitions the volume into a number of parallel slabs and shows them apart from each other. The thickness of slabs is driven by the similarity between partitions. We use an information-theoretic technique for the generation of exploded views. First, the algorithm identifies the viewpoint from which the structure is the highest. Then, the partition of the volume into the most informative slabs for exploding is obtained using two complementary similarity-based strategies. The number of slabs and the similarity parameter are freely adjustable by the user.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Similarity-Based Exploded View Rendering", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 593, "image_height": 629, "name": "ruiz-2008-SEV-Image.jpg", "type": "image/jpeg", "size": 54063, "path": "Publication:ruiz-2008-SEV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/ruiz-2008-SEV-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/ruiz-2008-SEV-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 741, 171, 742, 161, 608, 207 ], "booktitle": "Proceedings of Smart Graphics 2008", "lecturer": [ 608 ], "pages_from": "154", "pages_to": "165", "research_areas": [ "MedVis" ], "keywords": [ "volume visualization", "illustrative visualization", "exploded views" ], "weblinks": [], "files": [ { "description": "Similarity-Based Exploded View Rendering", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 593, "image_height": 629, "name": "ruiz-2008-SEV-Image.jpg", "type": "image/jpeg", "size": 54063, "path": "Publication:ruiz-2008-SEV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/ruiz-2008-SEV-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/ruiz-2008-SEV-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ruiz-2008-SEV-Paper.pdf", "type": "application/pdf", "size": 840611, "path": "Publication:ruiz-2008-SEV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/ruiz-2008-SEV-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/ruiz-2008-SEV-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/", "__class": "Publication" }, { "id": "toth-2007-ndd", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "N-dimensional Data-Dependent Reconstruction Using Topological Changes", "date": "2007-09", "abstract": "We introduce a new concept for a geometrically based feature preserving reconstruction\r\ntechnique of n-dimensional scattered data. Our goal is to generate\r\nan n-dimensional triangulation, which preserves the high frequency regions via\r\nlocal topology changes. It is the generalization of a 2D reconstruction approach\r\nbased on data-dependent triangulation and Lawson‘s optimization procedure.\r\nThe definition of the mathematic optimum of the reconstruction is given. We\r\ndiscuss an original cost function and a generalization of known functions for\r\nthe n-dimensional case.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 288, "image_height": 196, "name": "toth-2007-ndd-image.jpg", "type": "image/jpeg", "size": 46901, "path": "Publication:toth-2007-ndd", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/toth-2007-ndd-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/toth-2007-ndd-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 582, 171, 583, 166 ], "booktitle": "Proceedings of TopoInVis 2005, Topology-based Methods in Visualization", "date_from": "2005-09-29", "date_to": "2005-09-30", "editor": "H. Hauser, H. Hagen, H. Theisel", "lecturer": [ 582 ], "location": "Budmerice, Slovakia", "note": "Konferenz hat 2005 stattgefunden, Proceeding ist allerdings erst 2007 erschienen", "pages_from": "183", "pages_to": "198", "publisher": "Springer", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 288, "image_height": 196, "name": "toth-2007-ndd-image.jpg", "type": "image/jpeg", "size": 46901, "path": "Publication:toth-2007-ndd", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/toth-2007-ndd-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/toth-2007-ndd-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "toth-2007-ndd-paper.pdf", "type": "application/pdf", "size": 7344349, "path": "Publication:toth-2007-ndd", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/toth-2007-ndd-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/toth-2007-ndd-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/", "__class": "Publication" }, { "id": "viola-2007-ort", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "On the Role of Topology in Focus+Context Visualization", "date": "2007-09", "abstract": "In this paper three types of visualization scenarios are discussed, where topology\r\nimproves the readability of particular visualization results. The \frst type\r\ncombines topology information represented by simple graphical primitives\r\nwith other forms of visual representations. The second type uses the topology\r\ninformation to de\fne the relevance of objects within the data. The relevance\r\nis re\r\nected in the visualization by applying the cut-away concept. The third\r\ntype of visualizations is based on the change of topology of the underlying\r\ndata to increase visibility of the most interesting information. Every type\r\nhandles topology in a di\u000berent way. This illustrates various roles of topology\r\nin scienti\fc visualization.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 287, "image_height": 216, "name": "viola-2007-ort-image.jpg", "type": "image/jpeg", "size": 72798, "path": "Publication:viola-2007-ort", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/viola-2007-ort/viola-2007-ort-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/viola-2007-ort/viola-2007-ort-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 166 ], "booktitle": "Proceedings of TopoInVis 2005, Topology-based Methods in Visualization", "date_from": "2005-09-29", "date_to": "2005-09-30", "editor": "H. Hauser, H. Hagen, H. Theisel", "lecturer": [ 171 ], "location": "Budmerice, Slovakia", "note": "Konferenz hat 2005 stattgefunden, Proceeding ist allerdings erst 2007 erschienen", "pages_from": "171", "pages_to": "181", "publisher": "Springer", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 287, "image_height": 216, "name": "viola-2007-ort-image.jpg", "type": "image/jpeg", "size": 72798, "path": "Publication:viola-2007-ort", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/viola-2007-ort/viola-2007-ort-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/viola-2007-ort/viola-2007-ort-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "viola-2007-ort-paper.pdf", "type": "application/pdf", "size": 8081327, "path": "Publication:viola-2007-ort", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/viola-2007-ort/viola-2007-ort-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/viola-2007-ort/viola-2007-ort-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/viola-2007-ort/", "__class": "Publication" }, { "id": "balabanian-2007-ant", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Sonar Explorer: A New Tool for Visualization of Fish Schools from 3D Sonar Data", "date": "2007-05", "abstract": "We present a novel framework for analysis and visualization of fish schools in 3D sonar surveys. The 3D sonar\r\ntechnology is new and there have not been applications to visualize the data in 3D. We have created an application\r\ncalled Sonar Explorer that satisfies the requirements of domain scientists. Sonar Explorer provides easy\r\nand intuitive semi-automatic fish school tracking and survey map generation. The overall pipeline is described\r\nand all pipeline stages relevant for visualization are highlighted. We present techniques to deal with 3D sonar\r\ndata specifics: highly anisotropic volume data aligned on a curvilinear grid. Domain scientists provide initial\r\nimpressions on interaction and outlook.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 397, "image_height": 275, "name": "balabanian-2007-ant-image.jpg", "type": "image/jpeg", "size": 25071, "path": "Publication:balabanian-2007-ant", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/balabanian-2007-ant/balabanian-2007-ant-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/balabanian-2007-ant/balabanian-2007-ant-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 673, 171, 674, 675, 166 ], "booktitle": "Data Visualization - EuroVis 2007", "date_from": "2007-05-23", "date_to": "2007-05-25", "editor": "K. Museth, T. Möller, A. Ynnerman", "isbn": "9783905673456", "lecturer": [ 673 ], "location": "Norköpping, Schweden", "pages_from": "155", "pages_to": "162", "publisher": "IEEE", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 397, "image_height": 275, "name": "balabanian-2007-ant-image.jpg", "type": "image/jpeg", "size": 25071, "path": "Publication:balabanian-2007-ant", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/balabanian-2007-ant/balabanian-2007-ant-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/balabanian-2007-ant/balabanian-2007-ant-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "balabanian-2007-ant-paper.pdf", "type": "application/pdf", "size": 540559, "path": "Publication:balabanian-2007-ant", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/balabanian-2007-ant/balabanian-2007-ant-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/balabanian-2007-ant/balabanian-2007-ant-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/balabanian-2007-ant/", "__class": "Publication" }, { "id": "burns-2007-fea", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Feature Emphasis and Contextual Cutaways for Multimodal Medical Visualization", "date": "2007-05", "abstract": "Dense clinical data like 3D Computed Tomography (CT) scans can be visualized together with real-time imaging\nfor a number of medical intervention applications. However, it is difficult to provide a fused visualization that\nallows sufficient spatial perception of the anatomy of interest, as derived from the rich pre-operative scan, while\nnot occluding the real-time image displayed embedded within the volume.\nWe propose an importance-driven approach that presents the embedded data such that it is clearly visible along\nwith its spatial relation to the surrounding volumetric material. To support this, we present and integrate novel\ntechniques for importance specification, feature emphasis, and contextual cutaway generation.\nWe show results in a clinical context where a pre-operative CT scan is visualized alongside a tracked ultrasound\nimage, such that the important vasculature is depicted between the viewpoint and the ultrasound image, while a\nmore opaque representation of the anatomy is exposed in the surrounding area.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 325, "image_height": 308, "name": "burns-2007-fea-image.jpg", "type": "image/jpeg", "size": 39551, "path": "Publication:burns-2007-fea", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/burns-2007-fea-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/burns-2007-fea-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 676, 597, 677, 171, 166 ], "booktitle": "Proceedings of Eurographics / IEEE VGTC Symposium on Visualization (EuroVis 2007)", "date_from": "2007-05-23", "date_to": "2007-05-25", "editor": "K. Museth, T. Möller, A. Ynnerman", "isbn": "9783905673456", "lecturer": [ 676 ], "location": "Norköpping, Schweden", "pages_from": "275", "pages_to": "282", "publisher": "IEEE", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 325, "image_height": 308, "name": "burns-2007-fea-image.jpg", "type": "image/jpeg", "size": 39551, "path": "Publication:burns-2007-fea", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/burns-2007-fea-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/burns-2007-fea-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "burns-2007-fea-paper.pdf", "type": "application/pdf", "size": 11414491, "path": "Publication:burns-2007-fea", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/burns-2007-fea-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/burns-2007-fea-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "presentation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "burns-2007-fea-presentation.pdf", "type": "application/pdf", "size": 16305663, "path": "Publication:burns-2007-fea", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/burns-2007-fea-presentation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/burns-2007-fea-presentation:thumb{{size}}.png" }, { "description": null, "filetitle": "videos", "main_file": false, "use_in_gallery": false, "access": "public", "name": "burns-2007-fea-videos.zip", "type": "application/zip", "size": 21424680, "path": "Publication:burns-2007-fea", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/burns-2007-fea-videos.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/", "__class": "Publication" }, { "id": "tut-vis-2007", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "IEEE Visualization Tutorial on Illustrative Display and Interaction in Visualization", "date": "2007", "abstract": "The area of illustrative visualization is concerned with developing methods to enhance the\ndepiction of scientific data based on principles founded in traditional illustration. The\nillustration community has century-long experience in adapting their techniques to human\nperceptual needs in order to generate an effective depiction which conveys the desired\nmessage. Thus, their methods can provide us with important insights into visualization\nproblems.\nIn this tutorial, the concepts in illustrative visualization are reviewed. An important aspect here\nis interaction: while traditional illustrations are commonly only presented as static images,\ncomputer-assisted visualization enables interactive exploration and manipulation of complex\nscientific data. Only by coupling illustrative visualization with effective interaction techniques\nits full potential can be exploited.\nThe tutorial starts with a general introduction into the area of illustrative visualization. The\nconcept of importance-driven visualization and its applications are presented. Then we proceed with a discussion how traditional abstraction techniques can be applied in an\ninteractive context using importance-based methods. This ranges from low-level appearance\nto smart viewpoint-dependent visibility techniques such as cutaways or exploded views.\nFurther advanced manipulation strategies are discussed in the third part. The use\ndeformations to enhance visibility of certain features while providing context or to abstract the\nstructure of a complex objects through direct interaction with the data is examined. As many\nof the presented methods rely on a separation of focus and context, i.e., the important\nstructures in the data have been identified, the tutorial discusses approaches for selecting\nobjects of interest in a three-dimensional environment using intuitive sketch-based interfaces.\nSince the effectiveness of a user-interface is heavily dependent on the previous knowledge of\nthe user, the last part of the tutorial examines the concept of layering interfaces based on\nuser expertise. Finally, the application of illustrative display and interaction techniques for\nnon-traditional modalities such as mobile devices concludes the tutorial.\n\nIEEE Visualization 2007 Tutorial Page: http://vis.computer.org/vis2007/session/tutorials.html#t7\n\nSee also previous tutorials on Illustrative Visualization:\n\nIEEE Visualization 2006 Tutorial on Illustrative Visualization for Science and Medicine\nhttp://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/\n\nEurographics 2006 Tutorial on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/\n\nSIGGRAPH 2006 Course on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/ \n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 612, "image_height": 952, "name": "tut-vis-2007-.jpg", "type": "image/jpeg", "size": 124087, "path": "Publication:tut-vis-2007", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/tut-vis-2007-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/tut-vis-2007-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 161, 565, 564, 694 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 612, "image_height": 952, "name": "tut-vis-2007-.jpg", "type": "image/jpeg", "size": 124087, "path": "Publication:tut-vis-2007", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/tut-vis-2007-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/tut-vis-2007-:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/", "__class": "Publication" }, { "id": "Rautek06Vis", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Caricaturistic Visualization", "date": "2006-11", "abstract": "Caricatures are pieces of art depicting persons or sociological conditions in a non-veridical way. In both cases caricatures are referring to a reference model. The deviations from the reference model are the characteristic features of the depicted subject. Good caricatures exaggerate the characteristics of a subject in order to accent them. The concept of caricaturistic visualization is based on the caricature metaphor. The aim of caricaturistic visualization is an illustrative depiction of characteristics of a given dataset by exaggerating deviations from the reference model. We present the general concept of caricaturistic visualization as well as a variety of examples.\r\nWe investigate different visual representations for the depiction of caricatures. Further, we present the caricature matrix, a technique to make differences between datasets easily identifiable.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Caricaturistic Visualization Example ", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "Rautek06Vis-image.jpg", "type": "image/jpeg", "size": 84992, "path": "Publication:Rautek06Vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488, 171, 166 ], "date_from": "2006-10", "date_to": "2006-11", "event": "IEEE Visualization 2006", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 488 ], "location": "Baltimore, USA", "number": "5", "pages_from": "1085", "pages_to": "1092", "volume": "12", "research_areas": [], "keywords": [ "Focus+Context Techniques", "Volume Visualization", "Illustrative Visualization" ], "weblinks": [], "files": [ { "description": "Caricaturistic Visualization Example ", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "Rautek06Vis-image.jpg", "type": "image/jpeg", "size": 84992, "path": "Publication:Rautek06Vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Rautek06Vis-paper.pdf", "type": "application/pdf", "size": 14813160, "path": "Publication:Rautek06Vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-paper:thumb{{size}}.png" }, { "description": "Caricaturistic Facade Deformation", "filetitle": "video1", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Rautek06Vis-video1.avi", "type": "", "size": 542520, "path": "Publication:Rautek06Vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-video1.avi", "thumb_image_sizes": [] }, { "description": "Caricaturistic Vessel Visualization", "filetitle": "video2", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Rautek06Vis-video2.avi", "type": "", "size": 12251136, "path": "Publication:Rautek06Vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-video2.avi", "thumb_image_sizes": [] } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/", "__class": "Publication" }, { "id": "vis-foa", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Focus of Attention", "date": "2006-10", "abstract": "This paper introduces a concept for automatic focusing on features within a volumetric data set. The user selects a focus, i.e., object of interest, from a set of pre-defined features. Our system automatically determines the most expressive view on this feature. A characteristic viewpoint is estimated by a novel information-theoretic framework which is based on the mutual information measure. Viewpoints change smoothly by switching the focus from one feature to another one. This mechanism is controlled by changes in the importance distribution among features in the volume. The highest importance is assigned to the feature in focus. Apart from viewpoint selection, the focusing mechanism also steers visual emphasis by assigning a visually more prominent representation. To allow a clear view on features that are normally occluded by other parts of the volume, the focusing for example incorporates cut-away views.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "jpg", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 578, "image_height": 406, "name": "vis-foa-jpg.jpg", "type": "image/jpeg", "size": 54181, "path": "Publication:vis-foa", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-jpg.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-jpg:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 608, 207, 166 ], "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 171 ], "number": "5", "pages_from": "933", "pages_to": "940", "volume": "12", "research_areas": [], "keywords": [ "illustrative visualization", "interacting with volumetric datasets", "optimal viewpoint estimation", "focus+context techniques", "volume visualization" ], "weblinks": [], "files": [ { "description": "video", "filetitle": "avi", "main_file": false, "use_in_gallery": false, "access": "public", "name": "vis-foa-avi.avi", "type": "", "size": 29168640, "path": "Publication:vis-foa", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-avi.avi", "thumb_image_sizes": [] }, { "description": "image", "filetitle": "jpg", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 578, "image_height": 406, "name": "vis-foa-jpg.jpg", "type": "image/jpeg", "size": 54181, "path": "Publication:vis-foa", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-jpg.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-jpg:thumb{{size}}.png" }, { "description": "paper", "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "vis-foa-pdf.pdf", "type": "application/pdf", "size": 585521, "path": "Publication:vis-foa", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-pdf:thumb{{size}}.png" }, { "description": "slides", "filetitle": "ppt", "main_file": false, "use_in_gallery": false, "access": "public", "name": "vis-foa-ppt.zip", "type": "application/x-zip", "size": 10090882, "path": "Publication:vis-foa", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-ppt.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "GameTools", "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/", "__class": "Publication" }, { "id": "tut-eg-2006", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Eurographics Tutorial on Illustrative Visualization for Science and Medicine", "date": "2006", "abstract": "This tutorial presents recent and important research and developments from academia in illustrative, nonphotorealistic rendering (NPR) focusing on its use for medical/science subjects. Lectures are organized within\na comprehensive illustration framework, focusing on three main components:\n\n(a) Traditional and computerized illustration techniques and principles for Technical and Science Subjects,\n\n(b) Evaluation and Practical Use,\n\n(c) Viewing & Rendering. \n\nPresentation of topics is balanced between descriptions of traditional methods and practices, practical implementation motivated approaches and evaluation, and detailed descriptions and analysis of NPR techniques and\nalgorithms.\nWe begin with a lecture presenting an overview of traditional illustration in technical, science, and medical subjects\nfollowed by a description of the main components in a NPR pipeline for developing systems to help technical\nand science illustrators with their work. The tutorial progresses with an overview of the NPR used in illustration\nas well as approaches to evaluate their use and effectiveness. Following lectures describe the latest techniques in computerized illustration algorithms for scientific and medical data for both surface and volumetric data, covering\ntechniques from silhouette enhancement to stippling, to cut-away viewing, labeling, and focus+context rendering.\nEach of the lectures also discusses practical issues in making these techniques interactive and their use for different application domains. Tutorial concludes with discussion on specific medical case studies where the illustrative visualization has been effectively applied.\n\nEurographics 2006 tutorial page:\nhttp://www.cg.tuwien.ac.at/events/EG06/program-t1022.php\n\nSee also previous tutorials on Illustrative Visualization:\n\nSIGGRAPH 2006 Course on Illustrative Visualization for Science and Medicine\nhttp://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization\nhttp://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization\nhttp://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 281, "image_height": 300, "name": "tut-eg-2006-.png", "type": "image/png", "size": 54466, "path": "Publication:tut-eg-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 565, 564, 563, 596, 631, 633 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 281, "image_height": 300, "name": "tut-eg-2006-.png", "type": "image/png", "size": 54466, "path": "Publication:tut-eg-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-:thumb{{size}}.png" }, { "description": "Smart Visibility in Visualization and Importance-Driven Retargeting", "filetitle": "Slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "tut-eg-2006-Slides.zip", "type": "application/x-zip", "size": 54741002, "path": "Publication:tut-eg-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-Slides.zip", "thumb_image_sizes": [] }, { "description": "Overview and complete notes to each contribution", "filetitle": "Tutorial Notes", "main_file": true, "use_in_gallery": false, "access": "public", "name": "tut-eg-2006-Tutorial Notes.pdf", "type": "application/pdf", "size": 9880748, "path": "Publication:tut-eg-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-Tutorial Notes.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-Tutorial Notes:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/", "__class": "Publication" }, { "id": "tut-siggraph-2006", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "SIGGRAPH Course Illustrative Visualization for Medicine and Science", "date": "2006", "abstract": "Research and recent development in computer-generated illustration techniques within non-photorealistic rendering. The course concentrates specifically on illustration methods for computer-generated technical, scientific, medical, and interactive illustrations of both surface and volumetric data. It also presents the perspective of two medical illustrators on computerized illustration.\n\nACM SIGGRAPH 2006 course page: http://www.siggraph.org/s2006/main.php?f=conference&p=courses&s=6\n\nFurther Information:\nhttp://pages.cpsc.ucalgary.ca/~mario/webpage/publ/courses.htm\n\nSee also previous tutorials on Illustrative Visualization:\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/ ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 565, 564, 596, 171, 161, 631, 566, 632 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "Overview on schedule, talks, and speakers", "filetitle": "Course Notes", "main_file": false, "use_in_gallery": false, "access": "public", "name": "tut-siggraph-2006-Course Notes.pdf", "type": "application/pdf", "size": 163504, "path": "Publication:tut-siggraph-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/tut-siggraph-2006-Course Notes.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/tut-siggraph-2006-Course Notes:thumb{{size}}.png" }, { "description": "Smart Visibility in Visualization - Ivan Viola", "filetitle": "Slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "tut-siggraph-2006-Slides.zip", "type": "application/x-zip", "size": 77291824, "path": "Publication:tut-siggraph-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/tut-siggraph-2006-Slides.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/", "__class": "Publication" }, { "id": "tut-vis-2006", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "IEEE Visualization Tutorial on Illustrative Visualization for Science and Medicine", "date": "2006", "abstract": "This tutorial presents recent research and developments from academia in illustrative visualization focusing on its use for medical/science subjects. Lectures are organized within a\ncomprehensive illustration framework, focusing on three main components:\n\n• Traditional and computerized illustration techniques and principles for technical and\nscientific subjects\n\n• Evaluation and practical use\n\n• Viewing & rendering\n\nPresentation of topics is balanced between descriptions of traditional methods and practices, practical implementation motivated approaches and evaluation, and detailed descriptions and analysis of illustrative techniques and algorithms. We begin in the morning with a lecture presenting an overview of traditional illustration for\ntechnical, scientific, and medical subjects. This is followed by a description of the main components in an illustrative visualization pipeline for developing systems to assist technical\nand scientific illustrators. The tutorial progresses with an overview of the techniques used in illustration as well as approaches to evaluate their use and effectiveness. The morning concludes with the start of the “viewing and rendering” section. The three lectures in this section describe the latest approaches in computerized illustration algorithms for scientific and medical data for both surface and volumetric data, covering techniques from silhouette enhancement to stippling, to cut-away viewing, labeling, and focus+context rendering. Each of the lectures also discusses practical issues in making these techniques interactive and their use for different application domains. The tutorial includes a trained medical illustrator discussing the principles/caveats/issues in using illustration techniques in real-world medical applications. This lecture will also describe an evaluation, from an illustrator’s point of view, of the use and quality of the techniques presented throughout the day. The tutorial concludes with discussion on specific medical case studies where illustrative visualization has been effectively applied.\n\nIEEE Visualization 2006 Tutorial Page:\nhttp://vis.computer.org/vis2006/session/tutorials.html#t3\n\nSee also previous tutorials on Illustrative Visualization:\n\nEurographics 2006 Tutorial on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/\n\nSIGGRAPH 2006 Course on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/ ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 250, "image_height": 260, "name": "tut-vis-2006-Image.png", "type": "image/png", "size": 92894, "path": "Publication:tut-vis-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 565, 564, 631, 596, 161, 563, 566, 632, 633 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 250, "image_height": 260, "name": "tut-vis-2006-Image.png", "type": "image/png", "size": 92894, "path": "Publication:tut-vis-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/", "__class": "Publication" }, { "id": "viola-2006-FoA", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Focus of Attention for Volumetric Data Inspection", "date": "2006", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 530, "image_height": 245, "name": "viola-2006-FoA-.png", "type": "image/png", "size": 166666, "path": "Publication:viola-2006-FoA", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-2006-FoA/viola-2006-FoA-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-2006-FoA/viola-2006-FoA-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 608, 207, 166 ], "date_from": "2006-05-28", "date_to": "2006-06-02", "event": "Dagstuhl Seminar on Computational Aesthetics in Computer Graphics, Visualization, and Imaging", "location": "Dagstuhl castle, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 530, "image_height": 245, "name": "viola-2006-FoA-.png", "type": "image/png", "size": 166666, "path": "Publication:viola-2006-FoA", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-2006-FoA/viola-2006-FoA-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-2006-FoA/viola-2006-FoA-:thumb{{size}}.png" }, { "description": "", "filetitle": "Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "viola-2006-FoA-Slides.ppt", "type": "application/msword", "size": 4308992, "path": "Publication:viola-2006-FoA", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-2006-FoA/viola-2006-FoA-Slides.ppt", "thumb_image_sizes": [] } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-2006-FoA/", "__class": "Publication" }, { "id": "viola-popular-article-2006", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Explodierende Körper", "date": "2006", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 339, "image_height": 337, "name": "viola-popular-article-2006-Teaser.jpg", "type": "image/jpeg", "size": 30411, "path": "Publication:viola-popular-article-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/viola-popular-article-2006-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/viola-popular-article-2006-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 634, 171, 161 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "Interview for a medical agazine", "filetitle": "Article", "main_file": true, "use_in_gallery": false, "access": "public", "name": "viola-popular-article-2006-Article.pdf", "type": "application/pdf", "size": 195081, "path": "Publication:viola-popular-article-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/viola-popular-article-2006-Article.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/viola-popular-article-2006-Article:thumb{{size}}.png" }, { "description": "", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 339, "image_height": 337, "name": "viola-popular-article-2006-Teaser.jpg", "type": "image/jpeg", "size": 30411, "path": "Publication:viola-popular-article-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/viola-popular-article-2006-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/viola-popular-article-2006-Teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/", "__class": "Publication" }, { "id": "bruckner-2005-vid", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "VolumeShop: Interactive Direct Volume Illustration", "date": "2005-08", "abstract": "Illustrations play a major role in the education process. Whether used to teach a surgical or radiologic procedure, to illustrate normal or aberrant anatomy, or to explain the functioning of a technical device, illustration significantly impacts learning. Many specimen are readily available as volumetric data sets, particular in medicine. Illustrations, however, are commonly produced manually as static images in a time-consuming process. Our goal is to create a fully dynamic three-dimensional illustration environment which directly operates on volume data. Single images have the aesthetic appeal of traditional illustrations, but can be interactively altered and explored. We present methods to realize such a system which combines artistic visual styles and expressive visualization techniques. Our implementation exploits the latest generation of GPUs and, thus, is capable of handling commonly sized data sets at interactive frame rates. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 776, "image_height": 848, "name": "bruckner-2005-vid-image.jpg", "type": "image/jpeg", "size": 92873, "path": "Publication:bruckner-2005-vid", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/bruckner-2005-vid-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/bruckner-2005-vid-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 171, 166 ], "booktitle": "ACM Siggraph 2005 DVD Proceedings (Technical Sketch)", "date_from": "2005-07-31", "date_to": "2005-08-04", "lecturer": [ 161 ], "location": "Los Angeles, USA", "research_areas": [], "keywords": [ "focus+context techniques", "volume rendering", "illustrative techniques" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 776, "image_height": 848, "name": "bruckner-2005-vid-image.jpg", "type": "image/jpeg", "size": 92873, "path": "Publication:bruckner-2005-vid", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/bruckner-2005-vid-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/bruckner-2005-vid-image:thumb{{size}}.png" }, { "description": "", "filetitle": "Sketch", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2005-vid-Sketch.pdf", "type": "application/pdf", "size": 512165, "path": "Publication:bruckner-2005-vid", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/bruckner-2005-vid-Sketch.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/bruckner-2005-vid-Sketch:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/", "__class": "Publication" }, { "id": "Artner-2005-Hig", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "High-Quality Volume Rendering with Resampling in the Frequency Domain", "date": "2005-06", "abstract": "This work introduces a volume rendering technique that is conceptually based on the shear-warp factorization.\r\nWe propose to perform the shear transformation entirely in the frequency domain. Unlike the standard shear-warp\r\nalgorithm, we allow for arbitrary sampling distances along the viewing rays, independent of the view direction.\r\nThe accurate scaling of the volume slices is achieved by using the zero padding interpolation property. Finally, a high quality gradient estimation scheme is presented which uses the derivative theorem of the Fourier transform.\r\nExperimental results have shown that the presented method outperforms established algorithms in the quality of\r\nthe produced images. If the data is sampled above the Nyquist rate the presented method is capable of a perfect\r\nreconstruction of the original function.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 511, "image_height": 511, "name": "Artner-2005-Hig-image.jpg", "type": "image/jpeg", "size": 49358, "path": "Publication:Artner-2005-Hig", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Hig/Artner-2005-Hig-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Hig/Artner-2005-Hig-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 456, 196, 171, 166 ], "booktitle": "Proceedings of EuroVis", "date_from": "2005-06-01", "date_to": "2005-06-03", "isbn": "3-905673-19-3", "lecturer": [ 456 ], "location": "Leeds, United Kingdom", "pages_from": "85", "pages_to": "92", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 511, "image_height": 511, "name": "Artner-2005-Hig-image.jpg", "type": "image/jpeg", "size": 49358, "path": "Publication:Artner-2005-Hig", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Hig/Artner-2005-Hig-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Hig/Artner-2005-Hig-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Artner-2005-Hig-Paper.pdf", "type": "application/pdf", "size": 471113, "path": "Publication:Artner-2005-Hig", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Hig/Artner-2005-Hig-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Hig/Artner-2005-Hig-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Hig/", "__class": "Publication" }, { "id": "phd-viola", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Expressive Visualization", "date": "2005-06", "abstract": "In this thesis several expressive visualization techniques for volumetric\r\ndata are presented. The key idea is to classify the underlying data according\r\nto its prominence on the resulting visualization by importance value.\r\nThe importance property drives the visualization pipeline to emphasize the most prominent features and to suppress the less relevant ones. The suppression can be realized globally, so the whole object is suppressed, or locally. A local modulation generates cut-away and ghosted views because the suppression of less relevant features occurs only on the part where the occlusion of more important features appears.\r\n\r\nFeatures within the volumetric data are classified according to a new dimension denoted as object importance. This property determines which structures should be readily discernible and which structures are less important. Next, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of\r\nsparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance. An additional step\r\nto traditional volume rendering evaluates the areas of occlusion and assigns a particular level of sparseness. This step is denoted as importance compositing. Advanced schemes for importance compositing determine the resulting visibility of features and if the resulting visibility distribution does not correspond to the importance distribution different levels of sparseness are selected.\r\n\r\nThe applicability of importance-driven visualization is demonstrated on several examples from medical diagnostics scenarios, flow visualization,\r\nand interactive illustrative visualization.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1795, "image_height": 1512, "name": "phd-viola-image.jpg", "type": "image/jpeg", "size": 112390, "path": "Publication:phd-viola", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "date_end": "2005-06", "date_start": "2002-05", "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Defense Presentation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "phd-viola-Defense Presentation.pdf", "type": "application/pdf", "size": 1259949, "path": "Publication:phd-viola", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-Defense Presentation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-Defense Presentation:thumb{{size}}.png" }, { "description": "", "filetitle": "Dissertation (print version)", "main_file": false, "use_in_gallery": false, "access": "public", "name": "phd-viola-Dissertation (print version).pdf", "type": "application/pdf", "size": 61930541, "path": "Publication:phd-viola", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-Dissertation (print version).pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-Dissertation (print version):thumb{{size}}.png" }, { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1795, "image_height": 1512, "name": "phd-viola-image.jpg", "type": "image/jpeg", "size": 112390, "path": "Publication:phd-viola", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-image:thumb{{size}}.png" }, { "description": "", "filetitle": "pdf (screen version)", "main_file": true, "use_in_gallery": false, "access": "public", "name": "phd-viola-pdf (screen version).pdf", "type": "application/pdf", "size": 9650433, "path": "Publication:phd-viola", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-pdf (screen version).pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-pdf (screen version):thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/", "__class": "Publication" }, { "id": "Viola-05-Smart", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Smart Visibility in Visualization", "date": "2005-05", "abstract": "In this paper we discuss expressive visualization techniques that smartly uncover the most important information\r\nin order to maximize the visual information of the underlying data. This is achieved through dynamic change in visual representations, through deformations, or through changing the spatial position of parts of the data. Such techniques originate from technical illustration and are called cut-away views, ghosted views, and exploded views. These illustrative techniques unveil the most important visual information by a high level of abstraction. The change in visual representation or spatial position is done in a way that is easily perceivable and the overall visual harmony is preserved.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 712, "image_height": 344, "name": "Viola-05-Smart-image.jpg", "type": "image/jpeg", "size": 29020, "path": "Publication:Viola-05-Smart", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/Viola-05-Smart-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/Viola-05-Smart-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 166 ], "booktitle": "Proceedings of EG Workshop on Computational Aesthetics Computational Aesthetics in Graphics, Visualization and Imaging", "date_from": "2005-05-18", "date_to": "2005-05-20", "editor": "L. Neumann, M. Sbert, B. Gooch, W. Purgathofer", "isbn": "3905673274", "lecturer": [ 171 ], "location": "Girona, Spain", "pages_from": "209", "pages_to": "216", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 712, "image_height": 344, "name": "Viola-05-Smart-image.jpg", "type": "image/jpeg", "size": 29020, "path": "Publication:Viola-05-Smart", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/Viola-05-Smart-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/Viola-05-Smart-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola-05-Smart-Paper.pdf", "type": "application/pdf", "size": 3785392, "path": "Publication:Viola-05-Smart", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/Viola-05-Smart-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/Viola-05-Smart-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/", "__class": "Publication" }, { "id": "diss-thesis-bratislava", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Expressive Visualization", "date": "2005", "abstract": "In this talk several expressive visualization techniques for volumetric data are presented. The key idea is to classify the underlying data according to its prominence on the resulting visualization by importance value. The importance property drives the visualization pipeline to emphasize the most prominent features and to suppress the less relevant ones. The suppression can be realized globally, so the whole object is suppressed, or locally. A local modulation generates cut-away and ghosted views because the suppression of less relevant features occurs only on the part where the occlusion of more important features appears.\n\nFeatures within the volumetric data are classified according to a new imension denoted as object importance. This property determines which structures should be readily discernible and which structures are less important. Next, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of sparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance. An additional step to traditional volume rendering evaluates the areas of occlusion and assigns a particular level of sparseness. This step is denoted as importance compositing. Advanced schemes for importance compositing determine the resulting visibility of features and if the resulting visibility distribution does not correspond to the importance distribution different levels of sparseness are selected.\n\nThe applicability of importance-driven visualization is demonstrated\non several examples from medical diagnostics scenarios, flow visualization, and interactive illustrative visualization. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 416, "image_height": 451, "name": "diss-thesis-bratislava-image.jpg", "type": "image/jpeg", "size": 45104, "path": "Publication:diss-thesis-bratislava", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-bratislava/diss-thesis-bratislava-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-bratislava/diss-thesis-bratislava-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "date_from": "2005-10-10", "event": "Dissertation Thesis Report", "location": "Comenius University Bratislava, Slovakia", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 416, "image_height": 451, "name": "diss-thesis-bratislava-image.jpg", "type": "image/jpeg", "size": 45104, "path": "Publication:diss-thesis-bratislava", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-bratislava/diss-thesis-bratislava-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-bratislava/diss-thesis-bratislava-image:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-bratislava/", "__class": "Publication" }, { "id": "diss-thesis-magdeburg", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Expressive Visualization", "date": "2005", "abstract": "In this talk several expressive visualization techniques for volumetric data are presented. The key idea is to classify the underlying data according to its prominence on the resulting visualization by importance value. The importance property drives the visualization pipeline to emphasize the most prominent features and to suppress the less relevant ones. The suppression can be realized globally, so the whole object is suppressed, or locally. A local modulation generates cut-away and ghosted views because the suppression of less relevant features occurs only on the part where the occlusion of more important features appears.\n\nFeatures within the volumetric data are classified according to a new imension denoted as object importance. This property determines which structures should be readily discernible and which structures are less important. Next, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of sparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance. An additional step to traditional volume rendering evaluates the areas of occlusion and assigns a particular level of sparseness. This step is denoted as importance compositing. Advanced schemes for importance compositing determine the resulting visibility of features and if the resulting visibility distribution does not correspond to the importance distribution different levels of sparseness are selected.\n\nThe applicability of importance-driven visualization is demonstrated\non several examples from medical diagnostics scenarios, flow visualization, and interactive illustrative visualization. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 416, "image_height": 451, "name": "diss-thesis-magdeburg-image.jpg", "type": "image/jpeg", "size": 45104, "path": "Publication:diss-thesis-magdeburg", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-magdeburg/diss-thesis-magdeburg-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-magdeburg/diss-thesis-magdeburg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "date_from": "2005-10-06", "event": "Dissertation Thesis Report", "location": "University of Magdeburg, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 416, "image_height": 451, "name": "diss-thesis-magdeburg-image.jpg", "type": "image/jpeg", "size": 45104, "path": "Publication:diss-thesis-magdeburg", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-magdeburg/diss-thesis-magdeburg-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-magdeburg/diss-thesis-magdeburg-image:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-magdeburg/", "__class": "Publication" }, { "id": "diss-thesis-siegen", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Expressive Visualization", "date": "2005", "abstract": "In this talk several expressive visualization techniques for volumetric data are presented. The key idea is to classify the underlying data according to its prominence on the resulting visualization by importance value. The importance property drives the visualization pipeline to emphasize the most prominent features and to suppress the less relevant ones. The suppression can be realized globally, so the whole object is suppressed, or locally. A local modulation generates cut-away and ghosted views because the suppression of less relevant features occurs only on the part where the occlusion of more important features appears.\n\nFeatures within the volumetric data are classified according to a new imension denoted as object importance. This property determines which structures should be readily discernible and which structures are less important. Next, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of sparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance. An additional step to traditional volume rendering evaluates the areas of occlusion and assigns a particular level of sparseness. This step is denoted as importance compositing. Advanced schemes for importance compositing determine the resulting visibility of features and if the resulting visibility distribution does not correspond to the importance distribution different levels of sparseness are selected.\n\nThe applicability of importance-driven visualization is demonstrated\non several examples from medical diagnostics scenarios, flow visualization, and interactive illustrative visualization. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 416, "image_height": 451, "name": "diss-thesis-siegen-image.jpg", "type": "image/jpeg", "size": 45104, "path": "Publication:diss-thesis-siegen", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-siegen/diss-thesis-siegen-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-siegen/diss-thesis-siegen-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "date_from": "2005-11-11", "event": "Dissertation Thesis Report", "location": "University of Siegen, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 416, "image_height": 451, "name": "diss-thesis-siegen-image.jpg", "type": "image/jpeg", "size": 45104, "path": "Publication:diss-thesis-siegen", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-siegen/diss-thesis-siegen-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-siegen/diss-thesis-siegen-image:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-siegen/", "__class": "Publication" }, { "id": "eg-tut2005-iv", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Eurographics Tutorial on Illustrative Visualization", "date": "2005", "abstract": "The tutorial presents state-of-the-art visualization techniques inspired by traditional technical and medical illustrations.\nSuch techniques exploit the perception of the human visual system and provide effective visual abstractions\nto make the visualization clearly understandable. Visual emphasis and abstraction has been used for expressive\npresentation from prehistoric paintings to nowadays scientific and medical illustrations. Many of the expressive\ntechniques used in art are adopted in computer graphics, and are denoted as illustrative or non-photorealistic\nrendering. Different stroke techniques, or brush properties express a particular level of abstraction. Feature emphasis\nor feature suppression is achieved by combining different abstraction levels in illustrative rendering.\nChallenges in visualization research are very large data visualization as well as multi-dimensional data visualization.\nTo effectively convey the most important visual information there is a significant need for visual abstraction.\nFor less relevant information the dedicated image space is reduced to enhance more prominent features. The discussed techniques in the context of scientific visualization are based on iso-surfaces and volume rendering. Apart\nfrom visual abstraction, i.e., illustrative representation, the visibility of prominent features can be achieved by illustrative visualization techniques such as cut-away views or ghosted views. The structures that occlude the most prominent information are suppressed in order to clearly see more interesting parts. Another smart way to provide information on the data is using exploded views or other types of deformation. Illustrative visualization is demonstrated via application-specific tasks in medical visualization. An important aspect\nas compared to traditional medical illustrations is the interactivity and real-time manipulation of the acquired\npatient data. This can be very useful in anatomy education. Another application area is surgical planning which\nis demonstrated with two case studies: neck dissection and liver surgery planning.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 81, "name": "eg-tut2005-iv-image.jpg", "type": "image/jpeg", "size": 4401, "path": "Publication:eg-tut2005-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 166, 231, 226, 563, 564 ], "booktitle": "Tutorial Notes on Illustrative Visualization", "publisher": "Eurographics", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 81, "name": "eg-tut2005-iv-image.jpg", "type": "image/jpeg", "size": 4401, "path": "Publication:eg-tut2005-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Tutorial Notes", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eg-tut2005-iv-Tutorial Notes.pdf", "type": "application/pdf", "size": 18410027, "path": "Publication:eg-tut2005-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-Tutorial Notes.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-Tutorial Notes:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/", "__class": "Publication" }, { "id": "viola-2005-imp", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Feature Enhancement in Volume Visualization", "date": "2005", "abstract": "This paper presents importance-driven feature enhancement as a technique for the automatic generation of cut-away and ghosted views out of volumetric data. The presented focus+context approach removes or suppresses less important parts of a scene to reveal more important underlying information. however, less important parts are fully visible in those regions, where important visual information is not lost, i.e., more relevant features are not occluded.\r\nFeatures within the volumetric data are first classified according to a new dimension denoted as object importance.\r\nThis property determines which structures should be readily discernible and which structures are less important.\r\nNext, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of sparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance (importance compositing).\r\nThe paper includes an extended discussion on several possible schemes for levels of sparseness specification. Furthermore different approaches to importance compositing are treated.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1795, "image_height": 1512, "name": "viola-2005-imp-image.jpg", "type": "image/jpeg", "size": 112390, "path": "Publication:viola-2005-imp", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 162, 166 ], "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "4", "pages_from": "408", "pages_to": "418", "volume": "11", "research_areas": [], "keywords": [ "non-photorealistic techniques", "view-dependent visualization", "volume rendering", "focus+context techniques", "level-of-detail techniques" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1795, "image_height": 1512, "name": "viola-2005-imp-image.jpg", "type": "image/jpeg", "size": 112390, "path": "Publication:viola-2005-imp", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "viola-2005-imp-paper.pdf", "type": "application/pdf", "size": 36884028, "path": "Publication:viola-2005-imp", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/", "__class": "Publication" }, { "id": "Viola-vistutillustrativevis", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "IEEE Visualization Tutorial on Illustrative Visualization", "date": "2005", "abstract": "The tutorial presents state-of-the-art visualization techniques inspired\nby traditional technical and medical illustrations. Such techniques\nexploit the perception of the human visual system and provide effective visual abstractions to make the visualization clearly understandable. Visual emphasis and abstraction has been used for expressive presentation from prehistoric paintings to nowadays scientific and medical illustrations. Many of the expressive techniques\nused in art are adopted in computer graphics, and are denoted as\nillustrative or non-photorealistic rendering. Different stroke techniques,\nor brush properties express a particular level of abstraction. Feature emphasis or feature suppression is achieved by combining different abstraction levels in illustrative rendering. Challenges in visualization research are very large data visualization as well as multi-dimensional data visualization. To effectively convey the most important visual information there is a significant need for visual abstraction. For less relevant information the dedicated image space is reduced to enhance more prominent features. The discussed techniques in the context of scientic visualization are based on iso-surfaces and volume rendering. Apart\nfrom visual abstraction, i.e., illustrative representation, the visibility of prominent features can be achieved by illustrative visualization\ntechniques such as cut-away views or ghosted views. The structures that occlude the most prominent information are suppressed in order to clearly see more interesting parts. A different smart way to provide information on the data is using exploded views or other\ntypes of deformation. Furthermore intuitive feature classification via 3D painting and manipulation with the classified data including label placement is presented. Discussed non-photorealistic and illustrative techniques from visualization and graphics are shown from the perspective as tools for illustrators from medicine, botany, archeology, and zoology. The limitations of existing NPR systems for science illustration are highlighted, and proposals for possible new directions are made.\nIllustrative visualization is demonstrated via application-specific tasks in medical visualization. An important aspect as compared to traditional medical illustrations is the interactivity and real-time manipulation of the acquired patient data. This can be very useful in anatomy education. Another application area is surgical planning which is demonstrated with two case studies: neck dissection and\nliver surgery planning.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 544, "image_height": 304, "name": "Viola-vistutillustrativevis-image.jpg", "type": "image/jpeg", "size": 63961, "path": "Publication:Viola-vistutillustrativevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 166, 231, 226, 563, 564, 565, 566 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 544, "image_height": 304, "name": "Viola-vistutillustrativevis-image.jpg", "type": "image/jpeg", "size": 63961, "path": "Publication:Viola-vistutillustrativevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Tutorial Notes HQ Version.pdf", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Viola-vistutillustrativevis-Tutorial Notes HQ Version.pdf.pdf", "type": "application/pdf", "size": 87682204, "path": "Publication:Viola-vistutillustrativevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-Tutorial Notes HQ Version.pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-Tutorial Notes HQ Version.pdf:thumb{{size}}.png" }, { "description": null, "filetitle": "Tutorial Notes Small Version", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola-vistutillustrativevis-Tutorial Notes Small Version.pdf", "type": "application/pdf", "size": 29076997, "path": "Publication:Viola-vistutillustrativevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-Tutorial Notes Small Version.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-Tutorial Notes Small Version:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/", "__class": "Publication" }, { "id": "Viola-2004-ImpX2", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Volume Rendering", "date": "2004-10", "abstract": "This paper introduces importance-driven volume rendering as a\r\nnovel technique for automatic focus and context display of volumetric\r\ndata. Our technique is a generalization of cut-away views,\r\nwhich – depending on the viewpoint – remove or suppress less important\r\nparts of a scene to reveal more important underlying information.\r\nWe automatize and apply this idea to volumetric data.\r\nEach part of the volumetric data is assigned an object importance\r\nwhich encodes visibility priority. This property determines which\r\nstructures should be readily discernible and which structures are\r\nless important. In those image regions, where an object occludes\r\nmore important structures it is displayed more sparsely than in those\r\nareas where no occlusion occurs. Thus the objects of interest are\r\nclearly visible. For each object several representations, i.e., levels of\r\nsparseness, are specified. The display of an individual object may\r\nincorporate different levels of sparseness. The goal is to emphasize\r\nimportant structures and to maximize the information content in the\r\nfinal image.\r\nThis paper also discusses several possible schemes for level of\r\nsparseness specification and different ways how object importance\r\ncan be composited to determine the final appearance of a particular\r\nobject.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 250, "image_height": 244, "name": "Viola-2004-ImpX2-image.jpg", "type": "image/jpeg", "size": 12593, "path": "Publication:Viola-2004-ImpX2", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 162, 166 ], "booktitle": "Proceedings of IEEE Visualization 2004", "isbn": "0780387880", "pages_from": "139", "pages_to": "145", "publisher": "H. Rushmeier, G. Turk, J. van Wijk", "research_areas": [], "keywords": [ "view-dependent visualization", "non-photorealistic techniques", "level-of-detail techniques", "focus+context techniques", "volume rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 250, "image_height": 244, "name": "Viola-2004-ImpX2-image.jpg", "type": "image/jpeg", "size": 12593, "path": "Publication:Viola-2004-ImpX2", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola-2004-ImpX2-Paper.pdf", "type": "application/pdf", "size": 10556380, "path": "Publication:Viola-2004-ImpX2", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/", "__class": "Publication" }, { "id": "Viola-2004-GPU", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "GPU-based Frequency Domain Volume Rendering", "date": "2004-04", "abstract": "Frequency domain volume rendering (FVR) is a volume\r\nrendering technique with lower computational complexity\r\nas compared to other techniques. In this paper\r\nthe FVR algorithm is accelerated by factor of 17\r\nby mapping the rendering stage to the GPU. The overall\r\nhardware-accelerated pipeline is discussed and the\r\nchanges according to previous work are pointed out. The\r\nthree-dimensional transformation into frequency domain\r\nis done in a pre-processing step. The rendering step is\r\ncomputed completely on the GPU. First the projection\r\nslice is extracted. Four different interpolation schemes\r\nare used for resampling the slice from the data represented\r\nby a 3D texture. The extracted slice is transformed\r\nback into the spatial domain using the inverse\r\nFast Fourier or Fast Hartley Transform. The rendering\r\nstage is implemented through shader programs running\r\non programmable graphics hardware achieving highly interactive\r\nframerates.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 200, "name": "Viola-2004-GPU-image.jpg", "type": "image/jpeg", "size": 10116, "path": "Publication:Viola-2004-GPU", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 162, 166 ], "booktitle": "Proceedings of SCCG 2004", "isbn": "80-223-1730-6", "note": "second-best paper award!", "pages_from": "49", "pages_to": "58", "research_areas": [], "keywords": [ "Fourier Transform", "Fourier Volume Rendering", "Hardware Acceleration" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 200, "name": "Viola-2004-GPU-image.jpg", "type": "image/jpeg", "size": 10116, "path": "Publication:Viola-2004-GPU", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola-2004-GPU-Paper.pdf", "type": "application/pdf", "size": 1225586, "path": "Publication:Viola-2004-GPU", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/", "__class": "Publication" }, { "id": "viola-2004-gbf", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "GPU-Based Frequency Domain Volume Rendering", "date": "2004", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "date_from": "2004-04-15", "event": "SCCG", "location": "Budmerice", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "viola-2004-gbf-slides.ppt", "type": "application/msword", "size": 873472, "path": "Publication:viola-2004-gbf", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-gbf/viola-2004-gbf-slides.ppt", "thumb_image_sizes": [] } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-gbf/", "__class": "Publication" }, { "id": "viola-2004-idv", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Volume Rendering", "date": "2004", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "date_from": "2004-10-13", "event": "IDVR", "location": "Austin, USA", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "data", "main_file": true, "use_in_gallery": false, "access": "public", "name": "viola-2004-idv-data.zip", "type": "application/x-zip", "size": 17304308, "path": "Publication:viola-2004-idv", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-idv/viola-2004-idv-data.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-idv/", "__class": "Publication" }, { "id": "Viola-2003-Har", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Hardware-Based Nonlinear Filtering and Segmentation using High-Level Shading Languages.", "date": "2003-10", "abstract": "Non-linear filtering is an important task for volume analysis. This\r\npaper presents hardware-based implementations of various nonlinear\r\nfilters for volume smoothing with edge preservation. The\r\nCg high-level shading language is used in combination with latest\r\nPC consumer graphics hardware. Filtering is divided into pervertex\r\nand per-fragment stages. In both stages we propose techniques\r\nto increase the filtering performance. The vertex program\r\npre-computes texture coordinates in order to address all contributing\r\ninput samples of the operator mask. Thus additional computations\r\nare avoided in the fragment program. The presented fragment\r\nprograms preserve cache coherence, exploit 4D vector arithmetic,\r\nand internal fixed point arithmetic to increase performance. We\r\nshow the applicability of non-linear filters as part of a GPU-based\r\nsegmentation pipeline. The resulting binary mask is compressed\r\nand decompressed in the graphics memory on-the-fly.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 188, "name": "Viola-2003-Har-image.jpg", "type": "image/jpeg", "size": 8841, "path": "Publication:Viola-2003-Har", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 162, 166 ], "booktitle": "Proceedings of IEEE Visualization 2003", "editor": "G. Turk, J. van Wijk, K. Moorhead", "isbn": "0780381203", "pages_from": "309", "pages_to": "316", "publisher": "IEEE", "research_areas": [], "keywords": [ "Hardware Acceleration", "Segmentation", "Non-linear Filtering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 188, "name": "Viola-2003-Har-image.jpg", "type": "image/jpeg", "size": 8841, "path": "Publication:Viola-2003-Har", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola-2003-Har-Paper.pdf", "type": "application/pdf", "size": 325326, "path": "Publication:Viola-2003-Har", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/", "__class": "Publication" }, { "id": "viola-2003-hbn", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Hardware-Based Nonlinear Filtering and Segmentation using High-Level Shading Languages Visualization", "date": "2003", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "date_from": "2003-10-23", "event": "Visualization", "location": "Seattle, USA", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "viola-2003-hbn-slides.ppt", "type": "application/msword", "size": 1370112, "path": "Publication:viola-2003-hbn", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/viola-2003-hbn/viola-2003-hbn-slides.ppt", "thumb_image_sizes": [] } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/viola-2003-hbn/", "__class": "Publication" }, { "id": "Hadwiger-2002-Fas", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Fast and Flexible High-Quality Texture Filtering With Tiled High-Resolution Filters", "date": "2002-11", "abstract": "Current graphics hardware offers only very limited\r\nsupport for convolution operations, which is primarily\r\nintended for image processing. The input and\r\noutput sample grids have to coincide, making it impossible\r\nto use these features for more general filtering\r\ntasks such as image or texture resampling. Furthermore,\r\nmost hardware employs linear interpolation\r\nfor texture reconstruction purposes, incurring\r\nnoticeable artifacts. Higher-order interpolation via\r\ngeneral convolution is able to remove most of these\r\nartifacts. Real-time applications currently do not\r\nconsider higher-order filtering due to lack of hardware\r\nsupport. We present algorithms for extremely\r\nfast convolution on graphics hardware. This framework\r\ncan be used for general convolution tasks,\r\nbut is especially suited to substituting the native bilinear\r\nor tri-linear interpolation currently used for\r\ntexture magnification, while still achieving frame\r\nrates of up to 100 frames per second for full screen\r\nfiltering with bi-cubic interpolation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 202, "name": "Hadwiger-2002-Fas-image.jpg", "type": "image/jpeg", "size": 3996, "path": "Publication:Hadwiger-2002-Fas", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/Hadwiger-2002-Fas-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/Hadwiger-2002-Fas-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 226, 171, 175, 176 ], "booktitle": "Vision, Modeling and Visualization 2002", "pages_from": "155", "pages_to": "162", "publisher": "Akademische Verlagsgesellschaft Aka GmbH, Berlin", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 202, "name": "Hadwiger-2002-Fas-image.jpg", "type": "image/jpeg", "size": 3996, "path": "Publication:Hadwiger-2002-Fas", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/Hadwiger-2002-Fas-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/Hadwiger-2002-Fas-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Hadwiger-2002-Fas-Paper.pdf", "type": "application/pdf", "size": 7403232, "path": "Publication:Hadwiger-2002-Fas", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/Hadwiger-2002-Fas-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/Hadwiger-2002-Fas-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/", "__class": "Publication" }, { "id": "Neumann-2002-Fea", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Feature-Preserving Volume Filtering", "date": "2002-05", "abstract": "In this paper a feature-preserving volume filtering method is presented. The basic idea is to minimize a three-component global error function penalizing the density and gradient errors and the curvature of the unknown filtered function. The optimization problem leads to a large linear equation system defined by a sparse coefficient matrix. We will show that such an equation system can be efficiently solved in frequency domain using fast Fourier transformation (FFT). For the sake of clarity, first we illustrate our method on a 2D example which is a dedithering problem. Afterwards the 3D extension is discussed in detail since we propose our method mainly for volume filtering. We will show that the 3D version can be efficiently used for elimination of the typical staircase artifacts of direct volume rendering without losing fine details. Unlike local filtering techniques, our novel approach ensures a global smoothing effect. Previous global 3D methods are restricted to binary volumes or segmented iso-surfaces and they are based on area minimization of one single reconstructed surface. In contrast, our method is a general volume-filtering technique, implicitly smoothing all the iso-surfaces at the same time. Although the strength of the presented algorithm is demonstrated on a specific 2D and a specific 3D application, it is considered as a general mathematical tool for processing images and volumes.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 718, "image_height": 717, "name": "Neumann-2002-Fea-image.jpg", "type": "image/jpeg", "size": 96628, "path": "Publication:Neumann-2002-Fea", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 177, 233, 171, 179, 166 ], "booktitle": "Data Visualization 2002", "pages_from": "105", "pages_to": "114", "publisher": "ACM", "research_areas": [], "keywords": [ "antialiasing, noise filtering", "derivative and gradient estimation", "feature-preserving smoothing", "direct volume rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 718, "image_height": 717, "name": "Neumann-2002-Fea-image.jpg", "type": "image/jpeg", "size": 96628, "path": "Publication:Neumann-2002-Fea", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Neumann-2002-Fea-Paper.pdf", "type": "application/pdf", "size": 835899, "path": "Publication:Neumann-2002-Fea", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/", "__class": "Publication" }, { "id": "Masterthesis-Viola", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Applications of Hardware-Accelerated Filtering in Computer Graphics", "date": "2002-04", "abstract": "Two of the most important issues of computer graphics – especially in raster graphics and volume\r\nvisualisation – are sampling and reconstruction. These operations must fulfill particular conditions\r\nof sampling theory in order to be able to represent arbitrary continuous functions by discrete samples\r\nand reconstruct them from these samples without significant information loss. Several approaches\r\nfor high-quality reconstruction have been introduced to the computer graphics community. These\r\napproaches are mostly implemented in software, possible only as pre-process step. The only two\r\nways of reconstruction that are usually fast enough for real-time rendering are nearest neighbor and\r\nlinear interpolation filtering, but the quality of these filtering processes is often not sufficient.\r\nThis work summarizes the hardware-based methods that exploit the features of today’s graphics\r\nchips for filtering tasks. These methods are divided in two parts, i.e., high-resolution filtering and\r\nimage processing. Both methods are based on the distribution principle of convolution known from\r\nsplatting based volume rendering algorithms and they share the same general principle. The difference\r\nis in the implementation of the algorithms themselves.\r\nHigh-resolution filtering employs high-order filters in order to improve the quality of resampling\r\ntremendously. The implemented algorithms exploit symmetry or separability properties to make the\r\nfiltering more efficient. We compare it to the existing, natively supported solution, i.e., linear interpolation\r\nto our filtering implementation using higher order filters. This is shown in various application\r\nareas like surface-texturing, and solid-texturing, animated textures, or derivative filtering; at interactive\r\nframerates.\r\nThe image processing algorithms are simplified general filtering algorithms to increase effciency\r\nand performance. We show the usability on smoothing and edge detection, the important operations of\r\nimage processing and pattern recognition. We combine this techniques together with other hardware\r\nfeatures to provide hardware-accelerated artistic rendering techniques. These are also presented in a\r\nrendering system that provides non-photorealistic rendering effects.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 571, "image_height": 475, "name": "Masterthesis-Viola-image.jpg", "type": "image/jpeg", "size": 38111, "path": "Publication:Masterthesis-Viola", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Masterthesis-Viola/Masterthesis-Viola-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Masterthesis-Viola/Masterthesis-Viola-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "note": "1", "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 571, "image_height": 475, "name": "Masterthesis-Viola-image.jpg", "type": "image/jpeg", "size": 38111, "path": "Publication:Masterthesis-Viola", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Masterthesis-Viola/Masterthesis-Viola-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Masterthesis-Viola/Masterthesis-Viola-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Masterthesis-Viola-Thesis.pdf", "type": "application/pdf", "size": 6332164, "path": "Publication:Masterthesis-Viola", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Masterthesis-Viola/Masterthesis-Viola-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Masterthesis-Viola/Masterthesis-Viola-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Masterthesis-Viola/", "__class": "Publication" }, { "id": "wu-2021", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Visualization working group at TU Wien: Visible Facimus Quod Ceteri Non Possunt", "date": null, "abstract": "Building-up and running a university-based research group is a multi-faceted undertaking. The visualization working group at TU Wien (vis-group) has been internationally active over more than 25 years. The group has been acting in a competitive scientific setting where sometimes contradicting multiple objectives require trade-offs and optimizations. Research-wise the group has been performing basic and applied research in visualization and visual computing. Teaching-wise the group has been involved in undergraduate and graduate lecturing in (medical) visualization and computer graphics. To be scientifically competitive requires to constantly expose the group and its members to a strong international competition at the highest level. This necessitates to shield the members against the ensuing pressures and demands and provide (emotional) support and encouragement. Internally, the vis-group has developed a unique professional and social interaction culture: work and celebrate, hard and together. This has crystallized into a nested, recursive, and triangular organization model, which concretizes what it takes to make a research group successful. The key elements are the creative and competent vis-group members who collaboratively strive for (scientific) excellence in a socially enjoyable environment.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "name": "wu-2021-image.png", "type": "image/png", "size": null, "path": "Publication:wu-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/wu-2021/wu-2021-image.png", "thumb_image_sizes": [] }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1170, 1366, 1285, 1383, 1263, 1577, 935, 1410, 171, 1110, 166 ], "doi": "https://doi.org/10.1016/j.visinf.2021.02.003", "journal": "Visual Informatics", "open_access": "yes", "pages_from": "76", "pages_to": "84", "volume": "5", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "name": "wu-2021-image.png", "type": "image/png", "size": null, "path": "Publication:wu-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/wu-2021/wu-2021-image.png", "thumb_image_sizes": [] }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2021-paper.pdf", "type": "application/pdf", "size": null, "path": "Publication:wu-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/wu-2021/wu-2021-paper.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/wu-2021/", "__class": "Publication" } ]