[ { "id": "ehlers-2025-www", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/217489", "title": "Wiggle! Wiggle! Wiggle! Visualizing uncertainty in node attributes in straight-line node-link diagrams using animated wiggliness", "date": "2025-10", "abstract": "Uncertainty is common to most types of data, from meteorology to the biomedical sciences. Here, we are interested in the visualization of uncertainty within the context of multivariate graphs, specifically the visualization of uncertainty attached to node attributes. Many visual channels offer themselves up for the visualization of node attributes and their uncertainty. One controversial and relatively under-explored channel, however, is animation, despite its conceptual advantages. In this paper, we investigate node “wiggliness”, i.e. uncertainty-dependent pseudo-random motion of nodes, as a potential new visual channel with which to communicate node attribute uncertainty. To study wiggliness’ effectiveness, we compare it against three other visual channels identified from a thorough review of uncertainty visualization literature—namely node enclosure, node fuzziness, and node color saturation. In a larger-scale, mixed method, Prolific-crowd-sourced, online user study of 160 participants, we quantitatively and qualitatively compare these four uncertainty encodings across eight low-level graph analysis tasks that probe participants’ abilities to parse the presented networks both on an attribute and topological level. We ultimately conclude that all four uncertainty encodings appear comparably useful—as opposed to previous findings. Wiggliness may be a suitable and effective visual channel with which to communicate node attribute uncertainty, at least for the kinds of data and tasks considered in our study.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1850, 1813, 5488, 5417, 1464, 1410 ], "articleno": "104290", "doi": "10.1016/j.cag.2025.104290", "issn": "1873-7684", "journal": "COMPUTERS & GRAPHICS-UK", "publisher": "PERGAMON-ELSEVIER SCIENCE LTD", "volume": "131", "research_areas": [], "keywords": [ "Network Visualization", "Uncertainty Visualization", "Animation", "Fuzziness", "Enclosure", "Saturation" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ehlers-2025-www/", "__class": "Publication" }, { "id": "ehlers-2025-ait", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/208050", "title": "An introduction to and survey of biological network visualization", "date": "2025-02", "abstract": "Biological networks describe complex relationships in biological systems, which represent biological entities as vertices and their underlying connectivity as edges. Ideally, for a complete analysis of such systems, domain experts need to visually integrate multiple sources of heterogeneous data, and visually, as well as numerically, probe said data in order to explore or validate (mechanistic) hypotheses. Such visual analyses require the coming together of biological domain experts, bioinformaticians, as well as network scientists to create useful visualization tools. Owing to the underlying graph data becoming ever larger and more complex, the visual representation of such biological networks has become challenging in its own right. This introduction and survey aims to describe the current state of biological network visualization in order to identify scientific gaps for visualization experts, network scientists, bioinformaticians, and domain experts, such as biologists, or biochemists, alike. Specifically, we revisit the classic visualization pipeline, upon which we base this paper’s taxonomy and structure, which in turn forms the basis of our literature classification. This pipeline describes the process of visualizing data, starting with the raw data itself, through the construction of data tables, to the actual creation of visual structures and views, as a function of task-driven user interaction. Literature was systematically surveyed using API-driven querying where possible, and the collected papers were manually read and categorized based on the identified sub-components of this visualization pipeline’s individual steps. From this survey, we highlight a number of exemplary visualization tools from multiple biological sub-domains in order to explore how they adapt these discussed techniques and why. Additionally, this taxonomic classification of the collected set of papers allows us to identify existing gaps in biological network visualization practices. We finally conclude this report with a list of open challenges and potential research directions. Examples of such gaps include (i) the overabundance of visualization tools using schematic or straight-line node-link diagrams, despite the availability of powerful alternatives, or (ii) the lack of visualization tools that also integrate more advanced network analysis techniques beyond basic graph descriptive statistics.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1850, 5426, 1249, 1579, 5427, 5428, 5251, 1464 ], "articleno": "104115", "doi": "10.1016/j.cag.2024.104115", "issn": "1873-7684", "journal": "COMPUTERS & GRAPHICS-UK", "pages": "31", "publisher": "PERGAMON-ELSEVIER SCIENCE LTD", "volume": "126", "research_areas": [ "BioVis", "NetVis" ], "keywords": [ "Network visualization", "Visualization pipeline", "Sensemaking loop", "Visual analytics", "Network analysis", "Biological networks", "State-of-the-art-report" ], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ehlers-2025-ait/", "__class": "Publication" }, { "id": "pahr-2025-nodkant", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/216536", "title": "NODKANT: exploring constructive network physicalization", "date": "2025", "abstract": "Physicalizations, which combine perceptual and sensorimotor interactions, offer an immersive way to comprehend complex data visualizations by stimulating active construction and manipulation. This study investigates the impact of personal construction on the comprehension of physicalized networks. We propose a physicalization toolkit—NODKANT—for constructing modular node-link diagrams consisting of a magnetic surface, 3D printable and stackable node labels, and edges of adjustable length. In a mixed-methods between-subject lab study with 27 participants, three groups of people used NODKANT to complete a series of low-level analysis tasks in the context of an animal contact network. The first group was tasked with freely constructing their network using a sorted edge list, the second group received step-by-step instructions to create a predefined layout, and the third group received a pre-constructed representation. While free construction proved on average more time-consuming, we show that users extract more insights from the data during construction and interact with their representation more frequently, compared to those presented with step-by-step instructions. Interestingly, the increased time demand cannot be measured in users' subjective task load. Finally, our findings indicate that participants who constructed their own representations were able to recall more detailed insights after a period of 10–14 days compared to those who were given a pre-constructed network physicalization. All materials, data, code for generating instructions, and 3D printable meshes are available on https://osf.io/tk3g5/.", "authors_et_al": false, "substitute": null, "main_image": { "description": "An IKEA-like illustration of a person looking at a dataset, assembling a graph manually, and being happy with the result", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1280, "image_height": 536, "name": "pahr-2025-nodkant-teaser.jpg", "type": "image/jpeg", "size": 46516, "path": "Publication:pahr-2025-nodkant", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-teaser:thumb{{size}}.png" }, "sync_repositum_override": "authors,projects", "repositum_presentation_id": null, "authors": [ 1813, 5488, 1850, 5417, 5489, 1059, 1464, 1410 ], "ac_number": "AC17571629", "articleno": "e70140", "doi": "10.1111/cgf.70140", "issn": "1467-8659", "journal": "Computer Graphics Forum", "open_access": "yes", "pages": "12", "publisher": "WILEY", "research_areas": [], "keywords": [ "CCS Concepts", "Empirical studies in visualization", "human-centered computing", "Visualization Application Domains" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "pahr-2025-nodkant-paper.pdf", "type": "application/pdf", "size": 15020616, "path": "Publication:pahr-2025-nodkant", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-paper:thumb{{size}}.png" }, { "description": "An IKEA-like illustration of a person looking at a dataset, assembling a graph manually, and being happy with the result", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1280, "image_height": 536, "name": "pahr-2025-nodkant-teaser.jpg", "type": "image/jpeg", "size": 46516, "path": "Publication:pahr-2025-nodkant", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/", "__class": "Publication" }, { "id": "pahr-2024-squishicalization", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/208691", "title": "Squishicalization: Exploring Elastic Volume Physicalization", "date": "2024-12", "abstract": "We introduce Squishicalization , a pipeline for generating physicalizations of volumetric data that encode scalar information through their physical characteristics—specifically, by varying their “squishiness” or local elasticity. Data physicalization research is increasingly exploring multisensory information encoding, with a particular focus on enhancing direct interactivity. With Squishicalization , we leverage the tactile dimension of physicalization as a means of direct interactivity. Inspired by conventional volume rendering, we adapt the concept of transfer functions to encode scalar values from volumetric data into local elasticity levels. In this way, volumetric scalar data are transformed into sculptures, where the elasticity represents physical properties such as the material's density distribution within the volume. In our pipeline, scalar values guide the weighted sampling of the scalar field. The sampled data is then processed through Voronoi tessellation to create a sponge-like structure, which can be printed with consumer-grade 3D printers and readily available filament. To validate our pipeline, we conduct a computational and mechanical evaluation, as well as a two-stage perceptual study of the capabilities of our generated squishicalizations. To further investigate potential application scenarios, we interview experts across several domains. Finally, we summarize actionable insights and future avenues for the application of our All supplemental materials are available at https://osf.io/35gnv/?view_only=605e5085061f40439a98545f0c447cf3 .", "authors_et_al": false, "substitute": null, "main_image": { "description": "A hand coming from the left side of the picture squeezes the face of a printed representation of an MRI.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2177, "image_height": 1639, "name": "pahr-2024-squishicalization-teaser.png", "type": "image/png", "size": 3380920, "path": "Publication:pahr-2024-squishicalization", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser:thumb{{size}}.png" }, "sync_repositum_override": "projects,open_access", "repositum_presentation_id": null, "authors": [ 1813, 5430, 1464, 1410 ], "doi": "10.1109/TVCG.2024.3516481", "issn": "1941-0506", "journal": "IEEE Transactions on Visualization and Computer Graphics", "open_access": "yes", "pages": "14", "pages_from": "1", "pages_to": "14", "publisher": "IEEE COMPUTER SOC", "research_areas": [ "Fabrication" ], "keywords": [ "Elasticity", "Three Dimensional Printing", "Pipelines", "Fabrication", "Microstructures", "Rendering Computer Graphics", "Encoding", "Printing", "Data Physicalization", "Data Visualization", "Digital Fabrication" ], "weblinks": [], "files": [ { "description": "A hand coming from the left side of the picture squeezes the face of a printed representation of an MRI.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2177, "image_height": 1639, "name": "pahr-2024-squishicalization-teaser.png", "type": "image/png", "size": 3380920, "path": "Publication:pahr-2024-squishicalization", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/", "__class": "Publication" }, { "id": "ehlers-2024-mmm", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/205726", "title": "Me! Me! Me! Me! A study and comparison of ego network representations", "date": "2024-12", "abstract": "From social networks to brain connectivity, ego networks are a simple yet powerful approach to visualizing parts of a larger graph, i.e. those related to a selected focal node — the so-called “ego”. While surveys and comparisons of general graph visualization approaches exist in the literature, we note (i) the many conflicting results of comparisons of adjacency matrices and node-link diagrams, thus motivating further study, as well as (ii) the absence of such systematic comparisons for ego networks specifically. In this paper, we propose the development of empirical recommendations for ego network visualization strategies. First, we survey the literature across application domains and collect examples of network visualizations to identify the most common visual encodings, namely straight-line, radial, and layered node-link diagrams, as well as adjacency matrices. These representations are then applied to a representative, intermediate-sized network and subsequently compared in a large-scale, crowd-sourced user study in a mixed-methods analysis setup to investigate their impact on both user experience and performance. Within the limits of this study, and contrary to previous comparative investigations of adjacency matrices and node-link diagrams (outside of ego networks specifically), participants performed systematically worse when using adjacency matrices than those using node-link diagrammatic representations. Similar to previous comparisons of different node-link diagrams, we do not detect any notable differences in participant performance between the three node-link diagrams. Lastly, our quantitative and qualitative results indicate that participants found adjacency matrices harder to learn, use, and understand than node-link diagrams. We conclude that in terms of both participant experience and performance, a layered node-link diagrammatic representation appears to be the most preferable for ego network visualization purposes.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1850, 1813, 5417, 1464, 1410 ], "articleno": "104123", "doi": "10.1016/j.cag.2024.104123", "issn": "1873-7684", "journal": "COMPUTERS & GRAPHICS-UK", "open_access": "yes", "pages": "15", "pages_from": "1", "pages_to": "15", "publisher": "PERGAMON-ELSEVIER SCIENCE LTD", "volume": "125", "research_areas": [ "NetVis" ], "keywords": [ "Adjacency matrix", "Ego network visualization", "Layered node-link diagram", "Radial node-link diagram", "Straight-line node-link diagram", "User study" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ehlers-2024-mmm-paper.pdf", "type": "application/pdf", "size": 2475868, "path": "Publication:ehlers-2024-mmm", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ehlers-2024-mmm/ehlers-2024-mmm-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ehlers-2024-mmm/ehlers-2024-mmm-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ehlers-2024-mmm/", "__class": "Publication" }, { "id": "pahr-2024-ieo", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/199161", "title": "Investigating the Effect of Operation Mode and Manifestation on Physicalizations of Dynamic Processes", "date": "2024-06", "abstract": "We conducted a study to systematically investigate the communication of complex dynamic processes along a two-dimensional design space, where the axes represent a representation's manifestation (physical or virtual) and operation (manual or automatic). We exemplify the design space on a model embodying cardiovascular pathologies, represented by a mechanism where a liquid is pumped into a draining vessel, with complications illustrated through modifications to the model. The results of a mixed-methods lab study with 28 participants show that both physical manifestation and manual operation have a strong positive impact on the audience's engagement. The study does not show a measurable knowledge increase with respect to cardiovascular pathologies using manually operated physical representations. However, subjectively, participants report a better understanding of the process—mainly through non-visual cues like haptics, but also auditory cues. The study also indicates an increased task load when interacting with the process, which, however, seems to play a minor role for the participants. Overall, the study shows a clear potential of physicalization for the communication of complex dynamic processes, which only fully unfold if observers have to chance to interact with the process.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2634, "image_height": 1232, "name": "pahr-2024-ieo-teaser.png", "type": "image/png", "size": 172079, "path": "Publication:pahr-2024-ieo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/pahr-2024-ieo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/pahr-2024-ieo-teaser:thumb{{size}}.png" }, "sync_repositum_override": "projects,date_from,date_to,event,lecturer,pages_from,pages_to", "repositum_presentation_id": null, "authors": [ 1813, 1850, 1464, 1110, 1410 ], "articleno": "e15106", "date_from": "2024-06-27", "date_to": "2024-06-31", "doi": "10.1111/cgf.15106", "event": "EUROVIS", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1813 ], "number": "3", "pages": "12", "pages_from": "1", "pages_to": "12", "publisher": "WILEY", "volume": "43", "research_areas": [ "InfoVis", "MedVis", "Perception" ], "keywords": [ "Data Physicalization", "Study", "Cardiovascular Diseases", "Edutainment", "Human Computer Interaction (HCI)", "Mixed Methods" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2634, "image_height": 1232, "name": "pahr-2024-ieo-teaser.png", "type": "image/png", "size": 172079, "path": "Publication:pahr-2024-ieo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/pahr-2024-ieo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/pahr-2024-ieo-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/", "__class": "Publication" }, { "id": "ehlers-2024-vgs", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/196069", "title": "Visualizing Group Structure in Compound Graphs: The Current State, Lessons Learned, and Outstanding Opportunities", "date": "2024-03-11", "abstract": "Compound graphs are common across domains, from social science to biochemical pathway studies, and their visualization is important to both their exploration and analysis. However, effectively visualizing a compound graph's topology and group structure requires careful consideration, as evident by the many different approaches to this particular problem. To better understand the current advancements in compound graph visualization, we have consolidated and streamlined existing surveys' taxonomies. More specifically, we aim to disentangle the visual relationship between graph topology and group structure from the visual encoding used to visualize its group structure in order to identify interesting gaps in the literature. In so doing, we are able to enumerate a number of lessons learned and gain a better understanding of the outstanding research opportunities and practical implications across domains.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1850, 1848, 1464, 1410 ], "booktitle": "Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1, HUCAPP and IVAPP", "date_from": "2024-02-27", "date_to": "2024-02-29", "doi": "10.5220/0012431200003660", "event": "19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications", "isbn": "978-989-758-679-8", "lecturer": [ 1850 ], "location": "Rom", "pages": "12", "pages_from": "697", "pages_to": "708", "research_areas": [ "InfoVis", "NetVis" ], "keywords": [ "compound graph visualization", "literature survey", "group structure visualization" ], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ehlers-2024-vgs/", "__class": "Publication" }, { "id": "ehlers-2023-iro", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/192189", "title": "Improving readability of static, straight-line graph drawings: A first look at edge crossing resolution through iterative vertex splitting", "date": "2023-11", "abstract": "We present a novel vertex-splitting approach to iteratively resolve edge crossings in order to improve the readability of graph drawings. Dense graphs, even when small in size (10 to 15 nodes in size) quickly become difficult to read with increasing numbers of edges, and form so-called “hairballs”. The readability of a graph drawing is measured using many different quantitative aesthetic metrics. One such metric of particular importance is the number of edge crossings. Classical approaches to improving readability, such as the minimization of the number of edge crossings, focus on providing overviews of the input graph by aggregating or sampling vertices and/or edges. However, this simplification of the graph drawing does not allow for detailed views into the data, as not all vertices or edges are rendered, and also requires sophisticated interaction approaches to perform well. To avoid this, our locally optimal vertex splitting approach aims to minimize the number of remaining edge crossings while also minimizing the number of vertices that need to be split. In each iteration, we identify the vertex contributing the largest number of edge crossings, remove it, locate the embedding locations of said vertex's two split copies, and determine each copy's unique adjacency. We conduct a user study with 52 participants to evaluate whether vertex splitting affects users’ abilities to conduct a set of graph analytical tasks on graphs 12 nodes in size. Users were tasked with identifying a vertex's adjacency, determining the shared neighbors of two vertices, and checking the validity of a set of paths. We ultimately conclude that within the context of small, dense graphs, systematic vertex splitting is preferred by participants and even positively impacts user performance, though at the cost of the time taken per task.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1850, 5308, 1410, 1464 ], "doi": "10.1016/j.cag.2023.09.010", "issn": "1873-7684", "journal": "COMPUTERS & GRAPHICS-UK", "pages": "16", "pages_from": "448", "pages_to": "463", "publisher": "PERGAMON-ELSEVIER SCIENCE LTD", "volume": "116", "research_areas": [ "NetVis" ], "keywords": [ "Edge crossings", "Graph aesthetics", "Network visualization", "Vertex splitting" ], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/ehlers-2023-iro/", "__class": "Publication" }, { "id": "bhore-2023-ucd", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/190278", "title": "Untangling circular drawings: Algorithms and complexity", "date": "2023-04", "abstract": "We consider the problem of untangling a given (non-planar) straight-line circular drawing δG of an outerplanar graph G=(V,E) into a planar straight-line circular drawing of G by shifting a minimum number of vertices to a new position on the circle. For an outerplanar graph G, it is obvious that such a crossing-free circular drawing always exists and we define the circular shifting number shift∘(δG) as the minimum number of vertices that are required to be shifted in order to resolve all crossings of δG. We show that the problem CIRCULAR UNTANGLING, asking whether shift∘(δG)≤K for a given integer K, is NP-complete. For n-vertex outerplanar graphs, we obtain a tight upper bound of shift∘(δG)≤n−⌊n−2⌋−2. Moreover, we study the CIRCULAR UNTANGLING for almost-planar circular drawings, in which a single edge is involved in all of the crossings. For this problem, we provide a tight upper bound [Formula presented] and present an O(n2)-time algorithm to compute the circular shifting number of almost-planar drawings.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1878, 1698, 1579, 1879, 1464 ], "articleno": "101975", "doi": "10.1016/j.comgeo.2022.101975", "issn": "1879-081X", "journal": "Computational Geometry", "open_access": "yes", "pages": "14", "publisher": "Elsevier", "volume": "111", "research_areas": [], "keywords": [ "NP-hardness", "Outerplanarity", "Permutations and combinations", "Straight-line Graph drawing", "Untangling" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bhore-2023-ucd-paper.pdf", "type": "application/pdf", "size": 511374, "path": "Publication:bhore-2023-ucd", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/bhore-2023-ucd/bhore-2023-ucd-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/bhore-2023-ucd/bhore-2023-ucd-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/bhore-2023-ucd/", "__class": "Publication" }, { "id": "noellenburg-2023-pga", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/190033", "title": "Planarizing Graphs and Their Drawings by Vertex Splitting", "date": "2023", "abstract": "The splitting number of a graph G= (V, E) is the minimum number of vertex splits required to turn G into a planar graph, where a vertex split removes a vertex v∈ V, introduces two new vertices v1, v2, and distributes the edges formerly incident to v among v1, v2. The splitting number problem is known to be NP-complete for abstract graphs and we provide a non-uniform fixed-parameter tractable (FPT) algorithm for this problem. We then shift focus to the splitting number of a given topological graph drawing in R2, where the new vertices resulting from vertex splits must be re-embedded into the existing drawing of the remaining graph. We show NP-completeness of this embedded splitting number problem, even for its two subproblems of (1) selecting a minimum subset of vertices to split and (2) for re-embedding a minimum number of copies of a given set of vertices. For the latter problem we present an FPT algorithm parameterized by the number of vertex splits. This algorithm reduces to a bounded outerplanarity case and uses an intricate dynamic program on a sphere-cut decomposition.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1579, 5307, 5227, 5308, 1464, 5309 ], "booktitle": "Graph Drawing and Network Visualization. GD 2022", "date_from": "2022-09-13", "date_to": "2022-09-16", "doi": "10.1007/978-3-031-22203-0_17", "event": "International Symposium on Graph Drawing and Network Visualization (GD 2022)", "isbn": "978-3-031-22203-0", "lecturer": [ 5308 ], "location": "Tokyo", "pages": "15", "pages_from": "232", "pages_to": "246", "publisher": "Springer", "volume": "13764", "research_areas": [], "keywords": [ "Parameterized complexity", "Planarization", "Vertex splitting" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "noellenburg-2023-pga-paper.pdf", "type": "application/pdf", "size": 1051045, "path": "Publication:noellenburg-2023-pga", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/noellenburg-2023-pga/noellenburg-2023-pga-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/noellenburg-2023-pga/noellenburg-2023-pga-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/noellenburg-2023-pga/", "__class": "Publication" }, { "id": "Schindler-2022-eurovis", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/175711", "title": "Nested Papercrafts for Anatomical and Biological Edutainment", "date": "2022-06", "abstract": "In this paper, we present a new workflow for the computer-aided generation of physicalizations, addressing Nested configurations in anatomical and biological structures. Physicalizations are an important component of anatomical and biological education and edutainment. However, existing approaches have mainly revolved around creating data sculptures through digital fabrication. Only a few recent works proposed computer-aided pipelines for generating sculptures, such as papercrafts, with affordable and readily available materials. Papercraft generation remains a Challenging topic by itself. Yet, anatomical and biological applications pose additional Challenges, such as reconstruction complexity and insufficiency to account for multiple, Nested structures—often present in anatomical and biological structures. Our workflow comprises the following steps: (i) define the Nested configuration of the model and detect its levels, (ii) calculate the viewpoint that provides optimal, unobstructed views on inner levels, (iii) perform cuts on the outer levels to reveal the inner ones based on the viewpoint selection, (iv) estimate the stability of the cut papercraft to ensure a reliable outcome, (v) generate textures at each level, as a smart visibility mechanism that provides additional information on the inner structures, and (vi) unfold each textured mesh guaranteeing reconstruction. Our novel approach exploits the interactivity of Nested papercraft models for edutainment purposes.", "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": "Schindler-2022-eurovis-image.png", "type": "image/png", "size": 66402, "path": "Publication:Schindler-2022-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-image:thumb{{size}}.png" }, "sync_repositum_override": "lecturer,journal", "repositum_presentation_id": null, "authors": [ 1760, 1697, 1410, 1464 ], "booktitle": "Eurographics Conference on Visualization (EuroVis) 2022", "cfp": { "name": "ev2022-cpf.pdf", "type": "application/pdf", "error": "0", "size": "241772", "orig_name": "ev2022-cpf.pdf", "ext": "pdf" }, "date_from": "2022-06-13", "date_to": "2022-06-17", "doi": "10.1111/cgf.14561", "event": "EuroVis 2022 - 24th Eurographics Conference on Visualization", "journal": "Computer Graphics Forum", "lecturer": [ 1464 ], "location": "Rom", "open_access": "yes", "pages": "13", "pages_from": "541", "pages_to": "553", "publisher": "Wiley & Sons Ltd", "volume": "41,3", "research_areas": [ "MedVis" ], "keywords": [ "Applied computing", "Life and medical sciences", "Human-centered computing", "Visualization techniques", "Scientific visualization", "Interaction paradigms" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "Schindler-2022-eurovis-image.png", "type": "image/png", "size": 66402, "path": "Publication:Schindler-2022-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Schindler-2022-eurovis-paper.pdf", "type": "application/pdf", "size": 46112659, "path": "Publication:Schindler-2022-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Schindler-2022-eurovis-video.mp4", "type": "video/mp4", "size": 76649209, "path": "Publication:Schindler-2022-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/", "__class": "Publication" }, { "id": "Ganglberger-2022-cg", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/152311", "title": "Spatial-Data-Driven Layouting for Brain Network Visualization", "date": "2022-06", "abstract": "Recent advances in neuro-imaging enable scientists to create brain network data that can lead to novel insights into neurocircuitry, and a better understanding of the brain’s organization. These networks inherently involve a spatial component, depicting which brain regions are structurally, functionally or genetically related. Their visualization in 3D suffers from occlusion and clutter, especially with increasing number of nodes and connections, while 2D representations such as connectograms, connectivity matrices, and node-link diagrams neglect the spatio-anatomical context. Approaches to arrange 2D-graphs manually are tedious, species-dependent, and require the knowledge of domain experts.\r\nIn this paper, we present a spatial-data-driven approach for layouting 3D brain networks in 2D node-link diagrams, while maintaining their spatial organization. The produced graphs do not need manual positioning of nodes, are consistent (even for sub-graphs), and provide a perspective-dependent arrangement for orientation. Furthermore, we provide a visual design for highlighting anatomical context, including the shape of the brain, and the size of brain regions. We present in several case-studies the applicability of our approach for different neuroscience-relevant species, including the mouse, human, and Drosophila larvae. In a user study conducted with several domain experts, we demonstrate its relevance and validity, as well as its potential for neuroscientific publications, presentations, and education.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 248, "image_height": 192, "name": "Ganglberger-2022-cg-image.png", "type": "image/png", "size": 52057, "path": "Publication:Ganglberger-2022-cg", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-image:thumb{{size}}.png" }, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1747, 1929, 1464, 1358, 1930, 1931, 231 ], "doi": "10.1016/j.cag.2022.04.014", "issn": "1873-7684", "journal": "Computers & Graphics", "open_access": "yes", "pages": "13", "pages_from": "12", "pages_to": "24", "publisher": "Elsevier", "volume": "105", "research_areas": [], "keywords": [ "networks", "neuroscience", "graph layouting", "brain parcellation", "anatomical layouts" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 248, "image_height": 192, "name": "Ganglberger-2022-cg-image.png", "type": "image/png", "size": 52057, "path": "Publication:Ganglberger-2022-cg", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Ganglberger-2022-cg-paper.pdf", "type": "application/pdf", "size": 22337410, "path": "Publication:Ganglberger-2022-cg", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Ganglberger-2022-cg-video.mp4", "type": "video/mp4", "size": 19315917, "path": "Publication:Ganglberger-2022-cg", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/", "__class": "Publication" }, { "id": "batik-2022-smm", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/150317", "title": "Shape-Guided Mixed Metro Map Layout", "date": "2022", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1830, 5227, 1877, 1579, 1464 ], "booktitle": "Pacific Graphics 2022", "cfp": { "name": "Pacific Graphics 2022.pdf", "type": "application/pdf", "error": "0", "size": "11677429", "orig_name": "Pacific Graphics 2022.pdf", "ext": "pdf" }, "date_from": "2022-10-05", "date_to": "2022-10-08", "doi": "10.1111/cgf.14695", "event": "30th Pacific Conference on Computer Graphics and Applications", "lecturer": [ 1830 ], "location": "Kyoto", "pages": "12", "pages_from": "495", "pages_to": "506", "publisher": "The Eurographics Association and John Wiley & Sons Ltd.", "volume": "41", "research_areas": [], "keywords": [ "HCAE", "mixed metro maps problem", "design criteria", "optimization paradigm" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/batik-2022-smm/", "__class": "Publication" }, { "id": "bhore-2021-issac", "type_id": "inproceedings", "tu_id": 299975, "repositum_id": "20.500.12708/55639", "title": "Untangling Circular Drawings: Algorithms and Complexity", "date": "2021-12", "abstract": "We consider the problem of untangling a given (non-planar) straight-line circular drawing δG of an\r\nouterplanar graph G = (V,E) into a planar straight-line circular drawing by shifting a minimum\r\nnumber of vertices to a new position on the circle. For an outerplanar graph G, it is clear that such\r\na crossing-free circular drawing always exists and we define the circular shifting number shift◦(δG)\r\nas the minimum number of vertices that need to be shifted to resolve all crossings of δG. We show\r\nthat the problem Circular Untangling, asking whether shift◦(δG) ≤ K for a given integer K,\r\nis NP-complete. Based on this result we study Circular Untangling for almost-planar circular\r\ndrawings, in which a single edge is involved in all the crossings. In this case we provide a tight upper\r\nbound shift◦(δG) ≤ ⌊n2\r\n⌋ − 1, where n is the number of vertices in G, and present a polynomial-time\r\nalgorithm to compute the circular shifting number of almost-planar drawings.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1878, 1698, 1579, 1879, 1464 ], "booktitle": "Proceedings of the 32nd International Symposium on Algorithms and Computation", "cfp": { "name": "ISAAC 2021.pdf", "type": "application/pdf", "error": "0", "size": "66412", "orig_name": "ISAAC 2021.pdf", "ext": "pdf" }, "doi": "10.4230/LIPIcs.ISAAC.2021.19", "event": "The 32nd International Symposium on Algorithms and Computation", "lecturer": [ 1698 ], "pages": "17", "pages_from": "1", "pages_to": "17", "publisher": "LIPICS", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "bhore-2021-issac-paper.pdf", "type": "application/pdf", "size": 1149414, "path": "Publication:bhore-2021-issac", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/bhore-2021-issac/bhore-2021-issac-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/bhore-2021-issac/bhore-2021-issac-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/bhore-2021-issac/", "__class": "Publication" }, { "id": "batik-2021-gd", "type_id": "poster", "tu_id": 300510, "repositum_id": "20.500.12708/55642", "title": "Mixed Metro Maps with User-Specied Motifs", "date": "2021-09", "abstract": "In this poster, we propose an approach to generalize mixed metro map layouts with user-defined shapes for route-finding and ad-vertisement purposes. In a mixed layout, specific lines are arranged in an iconic shape, and the remaining are in octilinear styles. The shape is expected to be recognizable, while the layout still fulfilling the classical octilinear design criteria for metro maps. The approach is in three steps, where we first search for the best fitting edge segment that approximates the guide shape and utilize least squares optimization to synthesize the layout automatically.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1637, "image_height": 1030, "name": "batik-2021-gd-image.png", "type": "image/png", "size": 116119, "path": "Publication:batik-2021-gd", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/batik-2021-gd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/batik-2021-gd-image:thumb{{size}}.png" }, "sync_repositum_override": "date,authors", "repositum_presentation_id": null, "authors": [ 1830, 1699, 1579, 1877, 1464 ], "cfp": { "name": "cfp2-gd2021.pdf", "type": "application/pdf", "error": "0", "size": "90251", "orig_name": "cfp2-gd2021.pdf", "ext": "pdf" }, "date_from": "2021-09-14", "date_to": "2021-09-17", "event": "29th International Symposium on Graph Drawing and Network Visualization", "location": "Tübingen", "pages": "4", "pages_from": "1", "pages_to": "4", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1637, "image_height": 1030, "name": "batik-2021-gd-image.png", "type": "image/png", "size": 116119, "path": "Publication:batik-2021-gd", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/batik-2021-gd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/batik-2021-gd-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "batik-2021-gd-paper.pdf", "type": "application/pdf", "size": 1561630, "path": "Publication:batik-2021-gd", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/batik-2021-gd-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/batik-2021-gd-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/", "__class": "Publication" }, { "id": "pahr-2021-vologram", "type_id": "inproceedings", "tu_id": 300436, "repositum_id": "20.500.12708/58633", "title": "Vologram: An Educational Holographic Sculpture for Volumetric Medical Data Physicalization", "date": "2021-09", "abstract": "Real-world sculptures that display patient imaging data for anatomical education purposes have seen a recent resurgence through the field of data physicalization. In this paper, we describe an automated process for the computer-assisted generation of sculptures that can be employed for anatomical education among the general population. We propose a workflow that supports non-expert users to generate and physically display volumetric medical data in a visually appealing and engaging way. Our approach generates slide-based, interactive sculptures-called volograms-that resemble holograms of underlying medical data. The volograms are made out of affordable and readily available materials (e.g., transparent foils and cardboard) and can be produced through commonly available means. To evaluate the educational value of the proposed approach with our target audience, we assess the volograms, as opposed to classical, on-screen medical visualizations in a user study. The results of our study, while highlighting current weaknesses of our physicalization, also point to interesting future directions.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4032, "image_height": 3024, "name": "pahr-2021-vologram-Image.JPG", "type": "image/jpeg", "size": 954594, "path": "Publication:pahr-2021-vologram", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1813, 1464, 1410 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine", "cfp": { "name": "Full, Short & Survey Papers – VCBM 2021.pdf", "type": "application/pdf", "error": "0", "size": "446938", "orig_name": "Full, Short & Survey Papers – VCBM 2021.pdf", "ext": "pdf" }, "doi": "10.2312/vcbm.20211341", "event": "Eurographics Workshop on Visual Computing for Biology and Medicine", "issn": "2070-5786", "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine", "lecturer": [ 1813 ], "pages": "5", "pages_from": "19", "pages_to": "23", "publisher": "Eurographics Association", "volume": "VCBM 2021", "research_areas": [ "Fabrication", "IllVis", "MedVis" ], "keywords": [ "Physicalization", "Anatomy Education" ], "weblinks": [ { "href": "https://doi.org/10.2312/vcbm.20211341", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4032, "image_height": 3024, "name": "pahr-2021-vologram-Image.JPG", "type": "image/jpeg", "size": 954594, "path": "Publication:pahr-2021-vologram", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "pahr-2021-vologram-Video.mp4", "type": "video/mp4", "size": 138438430, "path": "Publication:pahr-2021-vologram", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/", "__class": "Publication" }, { "id": "koeppel-2021", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/55660", "title": "Context-Responsive Labeling in Augmented Reality", "date": "2021-04-19", "abstract": "Route planning and navigation are common tasks that often require additional information on points of interest. Augmented Reality (AR) enables mobile users to utilize text labels, in order to provide a composite view associated with additional information in a real- world environment. Nonetheless, displaying all labels for points of interest on a mobile device will lead to unwanted overlaps between information, and thus a context-responsive strategy to properly ar- range labels is expected. The technique should remove overlaps, show the right level-of-detail, and maintain label coherence. This is necessary as the viewing angle in an AR system may change rapidly due to users’ behaviors. Coherence plays an essential role in retaining user experience and knowledge, as well as avoiding motion sickness. In this paper, we develop an approach that sys- tematically manages label visibility and levels-of-detail, as well as eliminates unexpected incoherent movement. We introduce three label management strategies, including (1) occlusion management, (2) level-of-detail management, and (3) coherence management by balancing the usage of the mobile phone screen. A greedy approach is developed for fast occlusion handling in AR. A level-of-detail scheme is adopted to arrange various types of labels. A 3D scene manipulation is then built to simultaneously suppress the incoherent behaviors induced by viewing angle changes. Finally, we present the feasibility and applicability of our approach through one synthetic and two real-world scenarios, followed by a qualitative user study.", "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": "koeppel-2021-image.png", "type": "image/png", "size": 72689, "path": "Publication:koeppel-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1367, 166, 1464 ], "booktitle": "Proceedings of the 14th IEEE Pacific Visualization Symposium ", "cfp": { "name": "PVIS 2021.pdf", "type": "application/pdf", "error": "0", "size": "1338305", "orig_name": "PVIS 2021.pdf", "ext": "pdf" }, "doi": "10.1109/pacificvis52677.2021.00020", "event": "IEEE Pacific Visualization Symposium ", "lecturer": [ 1464 ], "pages": "10", "pages_from": "1", "pages_to": "10", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "koeppel-2021-image.png", "type": "image/png", "size": 72689, "path": "Publication:koeppel-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "koeppel-2021-paper.pdf", "type": "application/pdf", "size": null, "path": "Publication:koeppel-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-paper.pdf", "thumb_image_sizes": [] }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "koeppel-2021-video.mp4", "type": "video/mp4", "size": 50783014, "path": "Publication:koeppel-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-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": "sakr_sherif-2020-cacm", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "The Future is Big Graphs! A Community View on Graph Processing Systems", "date": "2020-12", "abstract": "Graphs are by nature ‘unifying abstractions’ that can leverage interconnectedness to represent, explore, predict, and explain real- and digital-world phenomena. Although real users and consumers of graph instances and graph workloads understand these abstractions, future problems will require new abstractions and systems. What needs to happen in the next decade for big graph processing to continue to succeed?\nWe are witnessing an unprecedented growth of interconnected data, which underscores the vital role of graph processing in our society. To name only a few remarkable examples of late, the importance of this field for practitioners is evidenced by the large number (over 50,000) of people registered2 to download the Neo4j book “​Graph Algorithms​” in just over 1.5 years, and by the enormous interest in the use of graph processing in the Artificial Intelligence and Machine Learning fields3. Furthermore, the timely Graphs4Covid-19 initiative4 provides evidence for the importance of big graph analytics in alleviating the global COVID-19 pandemic.\nThis article addresses the questions: How do the next-decade big graph processing systems look like from the perspectives of the data management and the large scale systems communities5? What can we say today about the guiding design principles of these systems in the next 10 years?", "authors_et_al": true, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "sakr_sherif-2020-cacm-image.png", "type": "image/png", "size": 43693, "path": "Publication:sakr_sherif-2020-cacm", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/sakr_sherif-2020-cacm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/sakr_sherif-2020-cacm-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1805, 1806, 1807, 1808, 1464 ], "journal": "Communications of the ACM ", "pages_from": "1", "pages_to": "14", "volume": "x", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "sakr_sherif-2020-cacm-image.png", "type": "image/png", "size": 43693, "path": "Publication:sakr_sherif-2020-cacm", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/sakr_sherif-2020-cacm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/sakr_sherif-2020-cacm-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sakr_sherif-2020-cacm-paper.pdf", "type": "application/pdf", "size": 711422, "path": "Publication:sakr_sherif-2020-cacm", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/sakr_sherif-2020-cacm-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/sakr_sherif-2020-cacm-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/", "__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": "raidou_slicedice", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/140980", "title": "Slice and Dice: A PhysicalizationWorkflow for Anatomical Edutainment", "date": "2020-10", "abstract": "During the last decades, anatomy has become an interesting topic in education—even for laymen or schoolchildren. As medical imaging techniques become increasingly sophisticated, virtual anatomical education applications have emerged. Still, anatomical models are often preferred, as they facilitate 3D localization of anatomical structures. Recently, data physicalizations (i.e., physical visualizations) have proven to be effective and engaging—sometimes, even more than their virtual counterparts. So far, medical data physicalizations involve mainly 3D printing, which is still expensive and cumbersome. We investigate alternative forms of physicalizations, which use readily available technologies (home printers) and inexpensive materials (paper or semi-transparent films) to generate crafts for anatomical edutainment. To the best of our knowledge, this is the first computer-generated crafting approach within an anatomical edutainment context. Our approach follows a cost-effective, simple, and easy-to-employ workflow, resulting in assemblable data sculptures (i.e., semi-transparent sliceforms). It primarily supports volumetric data (such as CT or MRI), but mesh data can also be imported. An octree slices the imported volume and an optimization step simplifies the slice configuration, proposing the optimal order for easy assembly. A packing algorithm places the resulting slices with their labels, annotations, and assembly instructions on a paper or transparent film of user-selected size, to be printed, assembled into a sliceform, and explored. We conducted two user studies to assess our approach, demonstrating that it is an initial positive step towards the successful creation of interactive and engaging anatomical physicalizations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 195, "name": "raidou_slicedice-image.png", "type": "image/png", "size": 51885, "path": "Publication:raidou_slicedice", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 166, 1464 ], "cfp": { "name": "For Authors - PG2020.pdf", "type": "application/pdf", "error": "0", "size": "248544", "orig_name": "For Authors - PG2020.pdf", "ext": "pdf" }, "date_from": "2020", "date_to": "2020", "event": "PG2020", "journal": "Computer Graphics Forum (CGF)", "lecturer": [ 1410 ], "pages_from": "1", "pages_to": "12", "volume": "x", "research_areas": [ "MedVis" ], "keywords": [ "Data Physicalization", "Life and Medical Sciences", "Anatomical Education" ], "weblinks": [], "files": [ { "description": null, "filetitle": "example", "main_file": true, "use_in_gallery": false, "access": "public", "name": "raidou_slicedice-example.pdf", "type": "application/pdf", "size": 1447424, "path": "Publication:raidou_slicedice", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-example.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-example:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 195, "name": "raidou_slicedice-image.png", "type": "image/png", "size": 51885, "path": "Publication:raidou_slicedice", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 3045, "preview_image_height": 3045, "name": "raidou_slicedice-paper.pdf", "type": "application/pdf", "size": 20867356, "path": "Publication:raidou_slicedice", "preview_name": "raidou_slicedice-paper:preview.jpg", "preview_type": "image/jpeg", "preview_size": 1021219, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_slicedice-video.mp4", "type": "video/mp4", "size": 166880657, "path": "Publication:raidou_slicedice", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/", "__class": "Publication" }, { "id": "schindler_2020vis", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/58250", "title": "The Anatomical Edutainer", "date": "2020-10", "abstract": "Physical visualizations (i.e., data representations by means of physical objects) have been used for many centuries in medical and anatomical education. Recently, 3D printing techniques started also to emerge. Still, other medical physicalizations that rely on affordable and easy-to-find materials are limited, while smart strategies that take advantage of the optical properties of our physical world have not been thoroughly investigated. We propose the Anatomical Edutainer, a workflow to guide the easy, accessible, and affordable generation of physicalizations for tangible, interactive anatomical edutainment. The Anatomical Edutainer supports 2D printable and 3D foldable physicalizations that change their visual properties (i.e., hues of the visible spectrum) under colored lenses or colored lights, to reveal distinct anatomical structures through user interaction.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "schindler_2020vis-image.png", "type": "image/png", "size": 75476, "path": "Publication:schindler_2020vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1760, 1464, 1410 ], "booktitle": "IEEE Vis Short Papers 2020", "cfp": { "name": "Short Paper Call for Participation.pdf", "type": "application/pdf", "error": "0", "size": "132515", "orig_name": "Short Paper Call for Participation.pdf", "ext": "pdf" }, "event": "IEEE Vis 2020", "lecturer": [ 1410 ], "pages_from": "1", "pages_to": "5", "research_areas": [ "Fabrication", "IllVis", "MedVis", "Perception" ], "keywords": [ "Data Physicalization", "Medical Visualization", "Anatomical Education" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "schindler_2020vis-image.png", "type": "image/png", "size": 75476, "path": "Publication:schindler_2020vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper preprint", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 416, "preview_image_height": 421, "name": "schindler_2020vis-paper preprint.pdf", "type": "application/pdf", "size": 26317989, "path": "Publication:schindler_2020vis", "preview_name": "schindler_2020vis-paper preprint:preview.JPG", "preview_type": "image/jpeg", "preview_size": 43449, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-paper preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-paper preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/", "__class": "Publication" }, { "id": "cmolik-2020-tvcg", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/58318", "title": "Mixed Labeling: Integrating Internal and External Labels", "date": "2020-09-28", "abstract": "In this paper, we present an algorithm capable of mixed labeling of 2D and 3D objects. In mixed labeling, the given objects are labeled with both internal labels placed (at least partially) over the objects and external labels placed in the space around the objects and connected with the labeled objects with straight-line leaders. The proposed algorithm determines the position and type of each label based on the user-specified ambiguity threshold and eliminates overlaps between the labels, as well as between the internal labels and the straight-line leaders of external labels. The algorithm is a screen-space technique; it operates in an image where the 2D objects or projected 3D objects are encoded. In other words, we can use the algorithm whenever we can render the objects to an image, which makes the algorithm fit for use in many domains. The algorithm operates in real-time, giving the results immediately. Finally, we present results from an expert evaluation, in which a professional illustrator has evaluated the label layouts produced with the proposed algorithm.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "cmolik-2020-tvcg-image.png", "type": "image/png", "size": 47074, "path": "Publication:cmolik-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1246, 1782, 1464, 1579 ], "doi": "10.1109/TVCG.2020.3027368", "journal": "IEEE Transactions on Visualization and Computer Graphics (TVCG)", "pages_from": "1", "pages_to": "14", "volume": "x", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "cmolik-2020-tvcg-image.png", "type": "image/png", "size": 47074, "path": "Publication:cmolik-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cmolik-2020-tvcg-paper.pdf", "type": "application/pdf", "size": 12960199, "path": "Publication:cmolik-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/", "__class": "Publication" }, { "id": "Kuroko-2020-iV", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/58251", "title": "Visualization of Correlations between Places of Music Listening and Acoustic Features ", "date": "2020-09-07", "abstract": "Users often choose songs with respect to special situations and environments. We designed and developed a music recommendation method inspired by this fact. This method selects songs based on the distribution of acoustic features of the songs listened by a user at particular places that have higher ordinariness for the user. It is important to verify the relationship between the places where the songs are listened to and the acoustic features in this. Hence, we conducted the visualization to explore potential correlations between geographic locations and the music features of single users. In this paper, we designed an interactive visualization tool methods and results for the analysis of the relationship between the places and the acoustic features while listening to the songs.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 491, "image_height": 364, "name": "Kuroko-2020-iV-image.png", "type": "image/png", "size": 94249, "path": "Publication:Kuroko-2020-iV", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/Kuroko-2020-iV-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/Kuroko-2020-iV-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1785, 1786, 1754, 1366, 1464 ], "booktitle": "Proceedings of the 24th International Conference on Information Visualisation (iV2020)", "cfp": { "name": "CFP-iV2020.pdf", "type": "application/pdf", "error": "0", "size": "59112", "orig_name": "CFP-iV2020.pdf", "ext": "pdf" }, "event": "The 24th International Conference on Information Visualisation (iV2020)", "lecturer": [ 1785 ], "pages_from": "1", "pages_to": "6", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 491, "image_height": 364, "name": "Kuroko-2020-iV-image.png", "type": "image/png", "size": 94249, "path": "Publication:Kuroko-2020-iV", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/Kuroko-2020-iV-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/Kuroko-2020-iV-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kuroko-2020-iV-paper.pdf", "type": "application/pdf", "size": 1282476, "path": "Publication:Kuroko-2020-iV", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/Kuroko-2020-iV-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/Kuroko-2020-iV-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/", "__class": "Publication" }, { "id": "Iijima-2020-iV", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/58172", "title": "Visualization of Semantic Differential Studies with a Large Number of Images, Participants and Attributes", "date": "2020-09-07", "abstract": "The Semantic Differential (SD) Method is a rating scale to measure the semantics. Attributes of SD are constructed by collecting the responses of participant’s impres- sions of the objects expressed through Likert scales representing multiple contrasting with some adjective pairs, for example, dark and bright, formal and casual, etc. Impression evaluation can be used as an index that reflects a human subjective feelings to some extent. Impression evaluations using the SD method consist of the responses of many participants, and therefore, the individual differences in the impressions of the participants greatly affect the content of the data. In this study, we propose a visualization system to analyze three aspects of SD, objects (images), participants, and attributes defined by adjective pairs. We visualize the impression evaluation data by applying dimension reduction so that, users can discover the trends and outliers of the data, such as images that are hard to judge or participants that act unpredictably. The system firstly visualizes the attributes or color distribution of the images by applying a dimensional reduction method to the impression or RGB values of each image. Then, our approach displays the average and median of each attribute near the images. This way, we can visualize the three aspects of objects, participants and attributes on a single screen and observe the relationships between image features and user impressions / attribute space. We introduce visualization examples of our system with the dataset inviting 21 participants who performed impression evaluations with 300 clothing images.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 479, "image_height": 339, "name": "Iijima-2020-iV-image.png", "type": "image/png", "size": 104231, "path": "Publication:Iijima-2020-iV", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/Iijima-2020-iV-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/Iijima-2020-iV-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1787, 1754, 1464, 1366 ], "booktitle": "Proceedings of the 24th International Conference on Information Visualisation (iV2020)", "cfp": { "name": "CFP-iV2020.pdf", "type": "application/pdf", "error": "0", "size": "59112", "orig_name": "CFP-iV2020.pdf", "ext": "pdf" }, "event": "The 24th International Conference on Information Visualisation (iV2020)", "lecturer": [ 1787 ], "pages_from": "1", "pages_to": "6", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 479, "image_height": 339, "name": "Iijima-2020-iV-image.png", "type": "image/png", "size": 104231, "path": "Publication:Iijima-2020-iV", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/Iijima-2020-iV-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/Iijima-2020-iV-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Iijima-2020-iV-paper.pdf", "type": "application/pdf", "size": 4114864, "path": "Publication:Iijima-2020-iV", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/Iijima-2020-iV-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/Iijima-2020-iV-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/", "__class": "Publication" }, { "id": "Purchase-2020-gd", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/58252", "title": "The Turing Test for Graph Drawing Algorithms", "date": "2020-09", "abstract": "DoalgorithmsfordrawinggraphspasstheTuringTest?That is, are their outputs indistinguishable from graphs drawn by humans? We address this question through a human-centred experiment, focusing on ‘small’ graphs, of a size for which it would be reasonable for someone to choose to draw the graph manually. Overall, we find that hand-drawn layouts can be distinguished from those generated by graph drawing al- gorithms, although this is not always the case for graphs drawn by force- directed or multi-dimensional scaling algorithms, making these good can- didates for Turing Test success. We show that, in general, hand-drawn graphs are judged to be of higher quality than automatically generated ones, although this result varies with graph size and algorithm.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "Purchase-2020-gd-image.png", "type": "image/png", "size": 29720, "path": "Publication:Purchase-2020-gd", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1623, 1619, 1783, 1579, 1784, 1464 ], "booktitle": "Proceedings of the 28th International Symposium on Graph Drawing and Network Visualization (GD2020)", "cfp": { "name": "gd20-cfp.pdf", "type": "application/pdf", "error": "0", "size": "182950", "orig_name": "gd20-cfp.pdf", "ext": "pdf" }, "event": "28th International Symposium on Graph Drawing and Network Visualization ", "lecturer": [ 1623 ], "pages_from": "1", "pages_to": "16", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "Purchase-2020-gd-image.png", "type": "image/png", "size": 29720, "path": "Publication:Purchase-2020-gd", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Purchase-2020-gd-paper.pdf", "type": "application/pdf", "size": 3933269, "path": "Publication:Purchase-2020-gd", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/", "__class": "Publication" }, { "id": "wu-2020-eurovis-star", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/140650", "title": "A Survey on Transit Map Layout – from Design, Machine, and Human Perspectives", "date": "2020-05-25", "abstract": "Transit maps are designed to present information for using public transportation systems, such as urban railways. Creating a transit map is a time-consuming process, which requires iterative information selection, layout design, and usability validation, and thus maps cannot easily be customised or updated frequently. To improve this, scientists investigate fully- or semi-automatic techniques in order to produce high quality transit maps using computers and further examine their corresponding usability. Nonetheless, the quality gap between manually-drawn maps and machine-generated maps is still large. To elaborate the current research status, this state-of-the-art report provides an overview of the transit map generation process, primarily from Design, Machine, and Human perspectives. A systematic categorisation is introduced to describe the design pipeline, and an extensive analysis of perspectives is conducted to support the proposed taxonomy. We conclude this survey with a discussion on the current research status, open challenges, and future directions.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2020-eurovis-star-image.png", "type": "image/png", "size": 20954, "path": "Publication:wu-2020-eurovis-star", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/wu-2020-eurovis-star-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/wu-2020-eurovis-star-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1675, 1580, 1765, 1579 ], "cfp": { "name": "Eurovis – STARS – Eurographics & Eurovis 2020.pdf", "type": "application/pdf", "error": "0", "size": "468579", "orig_name": "Eurovis – STARS – Eurographics & Eurovis 2020.pdf", "ext": "pdf" }, "date_from": "2020-05-25", "date_to": "2020-05-29", "doi": "10.1111/cgf.14030", "event": "EuRoVis 2020", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1464 ], "number": "3", "open_access": "yes", "pages": "28", "pages_from": "619", "pages_to": "646", "volume": "39", "research_areas": [ "InfoVis" ], "keywords": [ "Computer Graphics and Computer-Aided Design" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2020-eurovis-star-image.png", "type": "image/png", "size": 20954, "path": "Publication:wu-2020-eurovis-star", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/wu-2020-eurovis-star-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/wu-2020-eurovis-star-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2020-eurovis-star-paper.pdf", "type": "application/pdf", "size": 13228908, "path": "Publication:wu-2020-eurovis-star", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/wu-2020-eurovis-star-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/wu-2020-eurovis-star-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/", "__class": "Publication" }, { "id": "Korpitsch-2020-wscg", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/58257", "title": "Simulated Annealing to Unfold 3D Meshes and Assign Glue Tabs", "date": "2020-05-19", "abstract": "3D mesh unfolding transforms a 3D mesh model into one or multiple 2D planar patches. The technique is widely used to fabricate papercrafts, where 3D objects can be reconstructed from printed paper or paper-like materials. The applicability, visual quality, and stability of such papercraft productions is still challenging since it requires a reasonable formulation of these factors. In this paper, we unfold a 3D mesh into a single connected 2D patch. We also introduce glue tabs as additional indicators in order to provide users with extra space to apply glue for better reconstruction quality. To improve space efficiency, we do not apply glue tabs on every edge, while still guaranteeing the stability of the constructed paper model. A minimum spanning tree (MST) describes possible unfoldings, whereas simulated annealing optimisation is used to find an optimal unfolding. Our approach allows us to unfold 3D triangular meshes into single 2D patches without shape distortions, and employing only a small number of glue tabs. A visual indicator scheme is also incorporated as a post-process to guide users during the model reconstruction process. Finally, we qualitatively evaluate the applicability of the presented approach in comparison to the conventional technique and the achieved results.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "Korpitsch-2020-wscg-image.png", "type": "image/png", "size": 49162, "path": "Publication:Korpitsch-2020-wscg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1697, 1580, 166, 1464 ], "booktitle": "Proceedings of the 28th International Conference in Central Europe on Computer Graphics", "cfp": { "name": "wscg-cfp.pdf", "type": "application/pdf", "error": "0", "size": "1699728", "orig_name": "wscg-cfp.pdf", "ext": "pdf" }, "date_from": "2020-05-19", "date_to": "2020-05-21", "event": "WSCG 2020", "lecturer": [ 1464 ], "pages_from": "1", "pages_to": "10", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "Korpitsch-2020-wscg-image.png", "type": "image/png", "size": 49162, "path": "Publication:Korpitsch-2020-wscg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Korpitsch-2020-wscg-paper.pdf", "type": "application/pdf", "size": 19530461, "path": "Publication:Korpitsch-2020-wscg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Korpitsch-2020-wscg-video.mp4", "type": "video/mp4", "size": 10733469, "path": "Publication:Korpitsch-2020-wscg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/", "__class": "Publication" }, { "id": "korpitsch-2020-cescg", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Optimising 3D Mesh Unfoldings with Additional Gluetabs using Simulated Annealing", "date": "2020-05-03", "abstract": "3D Mesh unfolding is a process of transforming a 3D mesh into one or several 2D planar patches. The technique is widely used to produce papercraft models, where 3D ob- jects can be reconstructed from printed paper or paper-like materials. Nonetheless, the reconstruction of such mod- els can be arduous. In this paper, we aim to unfold a 3D mesh into a single 2D patch and introduce Gluetabs as ad- ditional indicators and in order to give users extra space to apply glue for better reconstruction quality. To avoid unnecessary Gluetabs, we reduce their number, while still guaranteeing the stability of the constructed model. To achieve this, a minimum spanning tree (MST) is used to describe possible unfoldings, whereas simulated annealing optimisation is used to find an optimal unfolding without overlaps. We aim to unfold 3D triangular meshes into sin- gle 2D patches without applying shape distortions, while appropriately assigning a reasonable amount of Gluetabs. Moreover, we incorporate a visual indicator scheme as a post-process to guide users during the model reconstruc- tion process. Our quantitative evaluation suggests that the proposed approach produces fast results for meshes under 400 faces.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 382, "image_height": 268, "name": "korpitsch-2020-cescg-image.png", "type": "image/png", "size": 95348, "path": "Publication:korpitsch-2020-cescg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1697, 1464 ], "booktitle": "CESCG ", "number": "TR-193-02-2020-2", "research_areas": [ "Fabrication" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 382, "image_height": 268, "name": "korpitsch-2020-cescg-image.png", "type": "image/png", "size": 95348, "path": "Publication:korpitsch-2020-cescg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-image:thumb{{size}}.png" }, { "description": "This paper has been selected for the Best Paper Award at CESCG 2020.", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "korpitsch-2020-cescg-paper.pdf", "type": "application/pdf", "size": 13734147, "path": "Publication:korpitsch-2020-cescg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/", "__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": "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": "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": "mizuno-2019-eurovis", "type_id": "journalpaper", "tu_id": 282848, "repositum_id": null, "title": "Optimizing Stepwise Animation in Dynamic Set Diagrams", "date": "2019-07-10", "abstract": "A set diagram represents the membership relation among data elements. It is often visualized as secondary information on top of primary information, such as the spatial positions of elements on maps and charts. Visualizing the temporal evolution of such set diagrams as well as their primary features is quite important; however, conventional approaches have only focused on the temporal behavior of the primary features and do not provide an effective means to highlight notable transitions within the set relationships. This paper presents an approach for generating a stepwise animation between set diagrams by decomposing the entire transition into atomic changes associated with individual data elements. The key idea behind our approach is to optimize the ordering of the atomic changes such that the synthesized animation minimizes unwanted set occlusions by considering their depth ordering and reduces the gaze shift between two consecutive stepwise changes. Experimental results and a user study demonstrate that the proposed approach effectively facilitates the visual identification of the detailed transitions inherent in dynamic set diagrams.", "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": "mizuno-2019-eurovis-image.png", "type": "image/png", "size": 100164, "path": "Publication:mizuno-2019-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1674, 1464, 1580, 1040 ], "cfp": { "name": "eurovis2019.pdf", "type": "application/pdf", "error": "0", "size": "37147", "orig_name": "eurovis2019.pdf", "ext": "pdf" }, "date_from": "2019", "date_to": "2019", "doi": "https://doi.org/10.1111/cgf.13668", "event": "EuroVis 2019", "journal": "Computer Graphics Forum", "lecturer": [ 1674 ], "note": "Best Paper Honorable Mention at EuroVis 2019", "pages_from": "13", "pages_to": "24", "volume": "38", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://youtu.be/dMphkr6nAHQ", "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": "mizuno-2019-eurovis-image.png", "type": "image/png", "size": 100164, "path": "Publication:mizuno-2019-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mizuno-2019-eurovis-paper.pdf", "type": "application/pdf", "size": 20180512, "path": "Publication:mizuno-2019-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/", "__class": "Publication" }, { "id": "maruyama-2019-iv", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Scale-Aware Cartographic Displacement Based on Constrained Optimization", "date": "2019-07", "abstract": "Abstract—The consistent arrangement of map features in accordance with the map scale has recently been technically important in digital cartographic generalization. This is primarily due to the recent demand for informative mapping systems, especially for use in smartphones and tablets. However, such sophisticated generalization has usually been conducted manually by expert cartographers and thus results in a time-consuming and error-prone process. In this paper, we focus on the displacement process within cartographic generalization and formulate them as a constrained optimization problem to provide an associated algorithm implementation and its effective solution. We first identify the underlying spatial relationships among map features, such as points and lines, on each map scale as constraints and optimize the cost function that penalizes excessive displacement of the map features in terms of the map scale. Several examples are also provided to demonstrate that the proposed approach allows us to maintain consistent mapping regardless of changes to the map scale.", "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": "maruyama-2019-iv-image.png", "type": "image/png", "size": 58725, "path": "Publication:maruyama-2019-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/maruyama-2019-iv/maruyama-2019-iv-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/maruyama-2019-iv/maruyama-2019-iv-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1625, 1580, 1464, 1676, 1627 ], "booktitle": "Proceedings of the 23th International Conference on Information Visualisation (iV2019)", "cfp": { "name": "iv2019.pdf", "type": "application/pdf", "error": "0", "size": "91598", "orig_name": "iv2019.pdf", "ext": "pdf" }, "doi": "https://dx.doi.org/10.1109/IV.2019.00022", "event": " The 23th International Conference on Information Visualisation ", "lecturer": [ 1580 ], "pages_from": "74", "pages_to": "80", "research_areas": [ "InfoVis" ], "keywords": [ "Cartographic generalization", "displacement", "constrained optimization", "scale-aware mapping" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "maruyama-2019-iv-image.png", "type": "image/png", "size": 58725, "path": "Publication:maruyama-2019-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/maruyama-2019-iv/maruyama-2019-iv-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/maruyama-2019-iv/maruyama-2019-iv-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/maruyama-2019-iv/", "__class": "Publication" }, { "id": "takahashi-2019-acdt", "type_id": "journalpaper_notalk", "tu_id": 283264, "repositum_id": null, "title": "Mental Map Preservation for Progressively Labeling Railway Networks", "date": "2019-06", "abstract": "Schematizing railway networks for better readability is often achieved by aligning railway lines along the octilinear directions. However, such railway map layouts require further adjustment when placing station name labels. In this article, the authors present a novel approach to automating the placement of station names around the railway network while maximally respecting its original layout as the mental map. The key idea is to progressively annotate stations from congested central downtown areas to sparse rural areas. This is accomplished by introducing the sum of geodesic distances over the railway network to properly order the stations to be annotated first, and then elongating the line segments of the railway network while retaining their directions to spare enough labeling space around each station. Additional constraints are also introduced to restrict the aspect ratios of the region confined by the railway network for better preservation of the mental map.", "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": "takahashi-2019-acdt-image.png", "type": "image/png", "size": 29890, "path": "Publication:takahashi-2019-acdt", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1580, 1625, 1626, 1464, 1676, 1627 ], "doi": "https://doi.org/10.4018/IJACDT.2019010103", "journal": "International Journal of Art, Culture and Design Technologies", "number": "1", "pages_from": "31", "pages_to": "50", "volume": "8", "research_areas": [ "IllVis", "InfoVis" ], "keywords": [ "Geodesic Distances", "Mental Maps", "Mixed-Integer Programming", "Progressive Annotation", "Railway Maps", "Schematic Layouts" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "takahashi-2019-acdt-image.png", "type": "image/png", "size": 29890, "path": "Publication:takahashi-2019-acdt", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-image:thumb{{size}}.png" }, { "description": null, "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "takahashi-2019-acdt-pdf.pdf", "type": "application/pdf", "size": 1599109, "path": "Publication:takahashi-2019-acdt", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-pdf:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/", "__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": "vasileva-2019-smw", "type_id": "poster", "tu_id": 283326, "repositum_id": null, "title": "OptiRoute: Interactive Maps for Wayfinding in a Complex Environment", "date": "2019-04-11", "abstract": "Visitors to amusement parks use mobile map appli- cations to decide where to go and to plan efficient routes. Such applications are especially helpful when visitors wish to avoid re-tracking their steps or visiting regions in the park several times. Visitors have limited time in the park, which typically covers a very large area, and the attractions have waiting times of varying duration. Time management is therefore important. In this paper, we propose a new visualization technique to support such route decision making, using an interactive environment. The main contribution of our system, OptiRoute, is the automatic computation of an optimal route between selected attractions as well as its effective visualization, which focuses on reducing visual clutter. This is achieved by improving the branch and bound route-finding algorithm, and introducing an intersection minimization algorithm for route representation. We demonstrate the feasibility of our approach through a case study of Tokyo Disneyland, in addition to a user study.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1068, "image_height": 726, "name": "vasileva-2019-smw-image.png", "type": "image/png", "size": 255384, "path": "Publication:vasileva-2019-smw", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/vasileva-2019-smw-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/vasileva-2019-smw-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1593, 1464 ], "cfp": { "name": "sm2019.pdf", "type": "application/pdf", "error": "0", "size": "78789", "orig_name": "sm2019.pdf", "ext": "pdf" }, "date_from": "2019", "date_to": "2019", "event": "schematic Mapping Workshop 2019", "note": "Best Poster Award", "research_areas": [ "InfoVis" ], "keywords": [ " Maps", "Route finding", "Wayfinding" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1068, "image_height": 726, "name": "vasileva-2019-smw-image.png", "type": "image/png", "size": 255384, "path": "Publication:vasileva-2019-smw", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/vasileva-2019-smw-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/vasileva-2019-smw-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "vasileva-2019-smw-paper.pdf", "type": "application/pdf", "size": 357111, "path": "Publication:vasileva-2019-smw", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/vasileva-2019-smw-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/vasileva-2019-smw-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/", "__class": "Publication" }, { "id": "wu-2019-smwp", "type_id": "poster", "tu_id": 283325, "repositum_id": null, "title": "Aspect-Ratio-Preserved Labeling on Metro Maps", "date": "2019-04-11", "abstract": "For better readability, metro lines are often aligned along the octilinear directions. Predefined layouts, however, limit the feasibility of placing station name labels. In this paper, we present a novel approach to automating the placement of station names around a schematic network while maximally respecting its original layout as the mental map. The idea behind the proposed approach is to progressively annotate stations from congested central downtown areas to sparse rural areas by intro- ducing the sum of geodesic distances over the network to identify the proper order of stations to be annotated. Our approach elongates line segments of the network without changing their directions to spare labeling space around the station. Additional constraints are introduced to restrict the aspect ratios of the region confined by the metro network for better preservation of the mental map in the original schematic layout.", "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": 205, "name": "wu-2019-smwp-image.png", "type": "image/png", "size": 27213, "path": "Publication:wu-2019-smwp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/wu-2019-smwp-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/wu-2019-smwp-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1625, 1626, 1676, 1627, 1580 ], "cfp": { "name": "sm2019.pdf", "type": "application/pdf", "error": "0", "size": "78789", "orig_name": "sm2019.pdf", "ext": "pdf" }, "date_from": "2019", "date_to": "2019", "doi": "https://www.ac.tuwien.ac.at/files/pub/smw19-paper-5.pdf", "event": "Schematic Mapping Workshop 2019", "research_areas": [ "InfoVis" ], "keywords": [ "Progressive Annotation", "Geodesic Distances", "Schematic Layout", "Mental Maps", "Mixed-Integer Programming" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 205, "name": "wu-2019-smwp-image.png", "type": "image/png", "size": 27213, "path": "Publication:wu-2019-smwp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/wu-2019-smwp-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/wu-2019-smwp-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "wu-2019-smwp-paper.pdf", "type": "application/pdf", "size": 401145, "path": "Publication:wu-2019-smwp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/wu-2019-smwp-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/wu-2019-smwp-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/", "__class": "Publication" }, { "id": "wu-2019-smw", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": " A Survey on Computing Schematic Network Maps: The Challenge to Interactivity", "date": "2019-04-11", "abstract": "Schematic maps are in daily use to show the connec- tivity of subway systems and to facilitate travellers to plan their journeys effectively. This study surveys up-to-date algorithmic approaches in order to give an overview of the state of the art in schematic network mapping. The study investigates the hypothesis that the choice of algorithmic approach is often guided by the requirements of the mapping application. For example, an algorithm that computes globally optimal solutions for schematic maps is capable of producing results for printing, while it is not suitable for computing instant layouts due to its long running time. Our analysis and discussion, therefore, focus on the compu- tational complexity of the problem formulation and the running times of the schematic map algorithms, including algorithmic network layout techniques and station labeling techniques. The correlation between problem complexity and running time is then visually depicted using scatter plot diagrams. Moreover, since metro maps are common metaphors for data visualization, we also investigate online tools and application domains using metro map representations for analytics purposes, and finally summarize the potential future opportunities for schematic maps.", "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-smw-image.png", "type": "image/png", "size": 36787, "path": "Publication:wu-2019-smw", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1675, 1580, 1579 ], "cfp": { "name": "sm2019.pdf", "type": "application/pdf", "error": "0", "size": "78789", "orig_name": "sm2019.pdf", "ext": "pdf" }, "doi": "https://www.ac.tuwien.ac.at/files/pub/smw19-position-5.pdf", "event": "The 2nd Schematic Mapping Workshop 2019", "lecturer": [ 1464 ], "location": "Vienna, Austria", "research_areas": [ "InfoVis" ], "keywords": [ "Metro Maps", "Graph Drawing", "Metaphors" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-smw-image.png", "type": "image/png", "size": 36787, "path": "Publication:wu-2019-smw", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2019-smw-paper.pdf", "type": "application/pdf", "size": 2849219, "path": "Publication:wu-2019-smw", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/", "__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": "YOGHOURDJIAN2019", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Exploring the limits of complexity: A survey of empirical studies ongraph visualisation", "date": "2019-01-06", "abstract": "For decades, researchers in information visualisation and graph drawing\nhave focused on developing techniques for the layout and display of very\nlarge and complex networks. Experiments involving human participants\nhave also explored the readability of different styles of layout and\nrepresentations for such networks. In both bodies of literature,\nnetworks are frequently referred to as being ‘large’ or ‘complex’, yet\nthese terms are relative. From a human-centred, experiment\npoint-of-view, what constitutes ‘large’ (for example) depends on several\nfactors, such as data complexity, visual complexity, and the technology\nused. In this paper, we survey the literature on human-centred\nexperiments to understand how, in practice, different features and\ncharacteristics of node–link diagrams affect visual complexity.", "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": "YOGHOURDJIAN2019-image.png", "type": "image/png", "size": 40040, "path": "Publication:YOGHOURDJIAN2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1618, 1619, 1620, 1621, 1622, 1623, 1464 ], "doi": "https://doi.org/10.1016/j.visinf.2018.12.006", "issn": "2468-502X", "journal": "Visual Informatics", "number": "4", "open_access": "yes", "pages_from": "264", "pages_to": "282", "volume": "2", "research_areas": [ "InfoVis" ], "keywords": [ "Graph visualisation", "Network visualisation", "node–link diagrams", "Evaluations", "Empirical studies", "Cognitive scalability" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "YOGHOURDJIAN2019-image.png", "type": "image/png", "size": 40040, "path": "Publication:YOGHOURDJIAN2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "YOGHOURDJIAN2019-paper.pdf", "type": "application/pdf", "size": 2324636, "path": "Publication:YOGHOURDJIAN2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/", "__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": 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"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": "wu-2018-prague", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Progressive Annotation of Schematic Railway Maps", "date": "2018-12-05", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464 ], "event": "Czech Technical University", "location": "Czech Technical University", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-prague/", "__class": "Publication" }, { "id": "wu-2018-shonan", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Lost in Translation: Alignment of Mental Representations for Visual Analytics, Reimagining the Mental Map and Drawing Stability (NII Shonan Meeting Seminar 127)", "date": "2018-12", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1619, 1680, 1681, 1682, 1683, 1684, 1464 ], "number": "TR-193-02-2018-1", "open_access": "yes", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-shonan-paper.pdf", "type": "application/pdf", "size": 1672636, "path": "Publication:wu-2018-shonan", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-shonan/wu-2018-shonan-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-shonan/wu-2018-shonan-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-shonan/", "__class": "Publication" }, { "id": "wu-2018-dagstuhl", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Geometry and Data Representation", "date": "2018-10-31", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464 ], "event": "Dagstuhl Seminar 18442", "location": "Dagstuhl Seminar 18442", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-dagstuhl/", "__class": "Publication" }, { "id": "8564188", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Progressive Annotation of Schematic Railway Maps", "date": "2018-07", "abstract": "Octilinear network layouts are commonly used as the schematic\nrepresentation of railway maps due to their enhanced readability.\nHowever, it is often time-consuming to place station names on such\nrailway maps by trial and error, especially within the limited labeling\nspace around interchange stations. This paper presents a progressive\napproach to placing station names around stations in schematic railway\nmaps for better automation of map labeling processes. The idea behind\nour approach is to annotate stations in dense downtown areas around the\ninterchange stations first and then those in sparse rural areas. This is\nachieved by introducing the sum of geodesic distances over the railway\nnetwork to identify the proper order in which to annotate stations. In\nthe actual annotation process, we increase the labeling space around the\nrailway network when necessary by progressively stretching railway line\nsegments while retaining their original directions, which allows us to\nrespect the original schematic layout as much as possible. We present\nseveral experimental results to demonstrate the effectiveness of the\nproposed approach, together with a discussion on parameter tuning in our\nformulation.", "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": "8564188-image.png", "type": "image/png", "size": 28813, "path": "Publication:8564188", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/8564188-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/8564188-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1624, 1625, 1626, 1464, 1627, 1580 ], "booktitle": "Proceedings of the 22nd International Conference Information Visualisation (IV)", "doi": "10.1109/iV.2018.00070", "event": "The 22nd International Conference Information Visualisation (IV)", "lecturer": [ 1464 ], "pages": "373-378", "research_areas": [ "InfoVis" ], "keywords": [ "Rail transportation;Layout;Labeling;Spacestations;Optimization;Programming;Visualization;Progressive annotation,geodesic distances", "schematic layouts", "railway maps", "mixed-integerprogramming" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "8564188-image.png", "type": "image/png", "size": 28813, "path": "Publication:8564188", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/8564188-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/8564188-image:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/", "__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": "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": "An-2018-CHI", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Thermorph: Democratizing 4D Printing of Self-Folding Materials and Interfaces", "date": "2018-04", "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": 256, "image_height": 192, "name": "An-2018-CHI-image.png", "type": "image/png", "size": 30709, "path": "Publication:An-2018-CHI", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/An-2018-CHI-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/An-2018-CHI-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1580, 1464, 1590, 1591 ], "booktitle": "CHI 2018", "event": "CHI 2018", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "An-2018-CHI-image.png", "type": "image/png", "size": 30709, "path": "Publication:An-2018-CHI", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/An-2018-CHI-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/An-2018-CHI-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/", "__class": "Publication" }, { "id": "wu-2018-JVLC", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Overlap-Free Labeling of Clustered Networks Based on Voronoi Tessellation", "date": "2018-02", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2018-JVLC-teaser.png", "type": "image/png", "size": 23010, "path": "Publication:wu-2018-JVLC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1580, 1581 ], "journal": "Journal of Visual Languages & Computing", "number": "44", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-JVLC-paper.pdf", "type": "application/pdf", "size": 6440310, "path": "Publication:wu-2018-JVLC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2018-JVLC-teaser.png", "type": "image/png", "size": 23010, "path": "Publication:wu-2018-JVLC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/", "__class": "Publication" }, { "id": "wu-2017-dagstuhl", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Mapifying the Genome, Scalable Set Visualizations (Dagstuhl Seminar 17332)", "date": "2018", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1677, 1678, 1679, 1464 ], "number": "TR-193-02-2018-2", "open_access": "yes", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://doi.org/10.4230/DagRep.7.8.1", "caption": "Dagstuhl Seminar 17332", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2017-dagstuhl-paper.pdf", "type": "application/pdf", "size": 3647552, "path": "Publication:wu-2017-dagstuhl", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2017-dagstuhl/wu-2017-dagstuhl-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2017-dagstuhl/wu-2017-dagstuhl-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2017-dagstuhl/", "__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" } ]