[ { "id": "rauer-zechmeister-2024-h3p", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/206130", "title": "HORA 3D: Personalized Flood Risk Visualization as an Interactive Web Service", "date": "2024", "abstract": "We propose an interactive web-based application to inform the general public about personal flood risks. Flooding is the natural hazard affecting most people worldwide. Protection against flooding is not limited to mitigation measures, but also includes communicating its risks to affected individuals to raise awareness and preparedness for its adverse effects. Until now, this is mostly done with static and indiscriminate 2D maps of the water depth. These flood hazard maps can be difficult to interpret and the user has to derive a personal flood risk based on prior knowledge. In addition to the hazard, the flood risk has to consider the exposure of the own house and premises to high water depths and flow velocities as well as the vulnerability of particular parts. Our application is centered around an interactive personalized visualization to raise awareness of these risk factors for an object of interest. We carefully extract and show only the relevant information from large precomputed flood simulation and geospatial data to keep the visualization simple and comprehensible. To achieve this goal, we extend various existing approaches and combine them with new real-time visualization and interaction techniques in 3D. A new view-dependent focus+context design guides user attention and supports an intuitive interpretation of the visualization to perform predefined exploration tasks. HORA 3D enables users to individually inform themselves about their flood risks. We evaluated the user experience through a broad online survey with 87 participants of different levels of expertise, who rated the helpfulness of the application with 4.7 out of 5 on average.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5421, 877, 5422, 1207, 1205, 1688, 1689, 1330, 166, 798 ], "articleno": "e15110", "doi": "10.1111/cgf.15110", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "3", "pages": "12", "publisher": "WILEY", "volume": "43", "research_areas": [], "keywords": [ "CCS Concepts", "Human-centered computing", "Information systems", "Visualization", "Spatial-temporal systems" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/rauer-zechmeister-2024-h3p/", "__class": "Publication" }, { "id": "cornel-2022-wih", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/154434", "title": "Watertight Incremental Heightfield Tessellation", "date": "2022-05-06", "abstract": "In this paper, we propose a method for the interactive visualization of medium-scale dynamic heightfields without visual artifacts. Our data fall into a category too large to be rendered directly at full resolution, but small enough to fit into GPU memory without pre-filtering and data streaming. We present the real-world use case of unfiltered flood simulation data of such medium scale that need to be visualized in real time for scientific purposes. Our solution facilitates compute shaders to maintain a guaranteed watertight triangulation in GPU memory that approximates the interpolated heightfields with view-dependent, continuous levels of detail. In each frame, the triangulation is updated incrementally by iteratively refining the cached result of the previous frame to minimize the computational effort. In particular, we minimize the number of heightfield sampling operations to make adaptive and higher-order interpolations viable options. We impose no restriction on the number of subdivisions and the achievable level of detail to allow for extreme zoom ranges required in geospatial visualization. Our method provides a stable runtime performance and can be executed with a limited time budget. We present a comparison of our method to three state-of-the-art methods, in which our method is competitive to previous non-watertight methods in terms of runtime, while outperforming them in terms of accuracy.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Real-time visualization result of our method for decision support in flood management. Close-up of flood simulation results at 1 m resolution.", "filetitle": "detail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1000, "name": "cornel-2022-wih-detail.png", "type": "image/png", "size": 1766315, "path": "Publication:cornel-2022-wih", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-detail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-detail:thumb{{size}}.png" }, "sync_repositum_override": "projects,date", "repositum_presentation_id": null, "authors": [ 877, 1793, 166, 798 ], "doi": "10.1109/TVCG.2022.3173081", "issn": "1941-0506", "journal": "IEEE Transactions on Visualization and Computer Graphics", "pages": "12", "publisher": "Institute of Electrical and Electronics Engineers (IEEE)", "volume": "PP", "research_areas": [ "Geometry" ], "keywords": [ "Data visualization", "Graphics processing units", "heightfield rendering", "Interpolation", "level of detail", "Merging", "Real-time systems", "Rendering (computer graphics)", "Surface reconstruction", "terrain rendering", "tessellation", "Visualization techniques and methodologies" ], "weblinks": [], "files": [ { "description": "Real-time visualization result of our method for decision support in flood management. Close-up of flood simulation results at 1 m resolution.", "filetitle": "detail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1000, "name": "cornel-2022-wih-detail.png", "type": "image/png", "size": 1766315, "path": "Publication:cornel-2022-wih", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-detail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-detail:thumb{{size}}.png" }, { "description": null, "filetitle": "implementation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "cornel-2022-wih-implementation.zip", "type": "application/zip", "size": 8540732, "path": "Publication:cornel-2022-wih", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-implementation.zip", "thumb_image_sizes": [] }, { "description": "Real-time visualization result of our method for decision support in flood management. Overview perspective\nwith geospatial data of Austria. Three nested terrain heightfields defined on an area of 572 km × 293 km are combined with\na dynamic water heightfield in a focus region of 22 km × 15 km .", "filetitle": "overview", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1000, "name": "cornel-2022-wih-overview.png", "type": "image/png", "size": 3589497, "path": "Publication:cornel-2022-wih", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-overview:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cornel-2022-wih-paper.pdf", "type": "application/pdf", "size": 16857216, "path": "Publication:cornel-2022-wih", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/", "__class": "Publication" }, { "id": "kroesl-2019-MoD", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Master of Disaster: Virtual-Reality Response Training in Disaster Management", "date": "2019-11-15", "abstract": "To be prepared for flooding events, disaster response personnel has to be trained to execute developed action plans.\nWe present a flood response training system which connects an interactive flood simulation with a VR client.\nThe collaborative operator-trainee setup of our system allows a trainee to steer the remote simulation from within the virtual environment, evaluate the effectiveness of deployed protection measures, and compare the results across multiple simulation runs.\nAn operator supervises the trainee's actions from a linked desktop application to provide assistance in complex tasks.\nThe versatility of our system is demonstrated on four different city models.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1200, "name": "kroesl-2019-MoD-image.jpg", "type": "image/jpeg", "size": 1658126, "path": "Publication:kroesl-2019-MoD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030, 1387, 1266, 877, 798 ], "cfp": { "name": "SUBMISSIONS – ACM SIGGRAPH VRCAI 2019.pdf", "type": "application/pdf", "error": "0", "size": "2196455", "orig_name": "SUBMISSIONS – ACM SIGGRAPH VRCAI 2019.pdf", "ext": "pdf" }, "date_from": "2019-11-14", "date_to": "2019-11-16", "doi": "10.1145/3359997.3365729", "event": "VRCAI 2019", "isbn": "978-1-4503-7002-8", "journal": "Proceeding VRCAI '19 The 17th International Conference on Virtual-Reality Continuum and its Applications in Industry Article No. 49", "location": "Brisbane, Australia", "research_areas": [ "VR" ], "keywords": [ "virtual reality", "flood simulation", "disaster training" ], "weblinks": [], "files": [ { "description": "author's version", "filetitle": "extended abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2019-MoD-extended abstract.pdf", "type": "application/pdf", "size": 4942595, "path": "Publication:kroesl-2019-MoD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-extended abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-extended abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1200, "name": "kroesl-2019-MoD-image.jpg", "type": "image/jpeg", "size": 1658126, "path": "Publication:kroesl-2019-MoD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 8997, "image_height": 12720, "name": "kroesl-2019-MoD-poster.png", "type": "image/png", "size": 13621472, "path": "Publication:kroesl-2019-MoD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-poster.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2019-MoD-video.mp4", "type": "video/mp4", "size": 81933045, "path": "Publication:kroesl-2019-MoD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-video:video.mp4" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/", "__class": "Publication" }, { "id": "CORNEL-2019-IVF", "type_id": "journalpaper", "tu_id": 282894, "repositum_id": null, "title": "Interactive Visualization of Flood and Heavy Rain Simulations", "date": "2019-06", "abstract": "In this paper, we present a real-time technique to visualize large-scale adaptive height fields withC1-continuous surfacereconstruction. Grid-based shallow water simulation is an indispensable tool for interactive flood management applications.Height fields defined on adaptive grids are often the only viable option to store and process the massive simulation data. Theirvisualization requires the reconstruction of a continuous surface from the spatially discrete simulation data. For regular grids,fast linear and cubic interpolation are commonly used for surface reconstruction. For adaptive grids, however, there exists nohigher-order interpolation technique fast enough for interactive applications.Our proposed technique bridges the gap between fast linear and expensive higher-order interpolation for adaptive surfacereconstruction. During reconstruction, no matter if regular or adaptive, discretization and interpolation artifacts can occur,which domain experts consider misleading and unaesthetic. We take into account boundary conditions to eliminate these artifacts,which include water climbing uphill, diving towards walls, and leaking through thin objects. We apply realistic water shadingwith visual cues for depth perception and add waves and foam synthesized from the simulation data to emphasize flow directions.The versatility and performance of our technique are demonstrated in various real-world scenarios. A survey conducted withdomain experts of different backgrounds and concerned citizens proves the usefulness and effectiveness of our technique.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 567, "image_height": 321, "name": "CORNEL-2019-IVF-image.png", "type": "image/png", "size": 323302, "path": "Publication:CORNEL-2019-IVF", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 877, 1688, 1205, 1207, 193, 1689, 798 ], "cfp": { "name": "Eurovis 2019-cfp.pdf", "type": "application/pdf", "error": "0", "size": "138759", "orig_name": "Eurovis 2019-cfp.pdf", "ext": "pdf" }, "date_from": "2019-06-03", "date_to": "2019-06-07", "doi": "10.1111/cgf.13669", "event": "Eurographics/VGTC Conference on Visualization (EuroVis) 2019", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 877 ], "location": "Porto, Portugal", "number": "3", "pages_from": "25", "pages_to": "39", "volume": "38", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 567, "image_height": 321, "name": "CORNEL-2019-IVF-image.png", "type": "image/png", "size": 323302, "path": "Publication:CORNEL-2019-IVF", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "CORNEL-2019-IVF-Paper.pdf", "type": "application/pdf", "size": 5349440, "path": "Publication:CORNEL-2019-IVF", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/", "__class": "Publication" }, { "id": "Konev-FCV2018", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Fast cutaway visualization of sub-terrain tubular networks", "date": "2018-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1333, "image_height": 753, "name": "Konev-FCV2018-image.jpg", "type": "image/jpeg", "size": 114614, "path": "Publication:Konev-FCV2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1205, 1380, 171, 1337, 877, 798 ], "doi": "https://doi.org/10.1016/j.cag.2018.07.004", "issn": "0097-8493", "journal": "Computers & Graphics", "number": "5", "open_access": "no", "pages": "25–35", "pages_from": "25", "pages_to": "35", "volume": "75", "research_areas": [ "IllVis", "Rendering" ], "keywords": [ "Cutaway visualization", "Procedural billboarding", "Subsurface networks" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1333, "image_height": 753, "name": "Konev-FCV2018-image.jpg", "type": "image/jpeg", "size": 114614, "path": "Publication:Konev-FCV2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/", "__class": "Publication" }, { "id": "Cornel2016CFM", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Composite Flow Maps", "date": "2016", "abstract": "Flow maps are widely used to provide an overview of geospatial transportation data. Existing solutions lack the support for the interactive exploration of multiple flow components at once. Flow components are given by different materials being transported, different flow directions, or by the need for comparing alternative scenarios. In this paper, we combine flows as individual ribbons in one composite flow map. The presented approach can handle an arbitrary number of sources and sinks. To avoid visual clutter, we simplify our flow maps based on a force-driven algorithm, accounting for restrictions with respect to application semantics. The goal is to preserve important characteristics of the geospatial context. This feature also enables us to highlight relevant spatial information on top of the flow map such as traffic conditions or accessibility. The flow map is computed on the basis of flows between zones. We describe a method for auto-deriving zones from geospatial data according to application requirements. We demonstrate the method in real-world applications, including transportation logistics, evacuation procedures, and water simulation. Our results are evaluated with experts from corresponding fields.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 914, "image_height": 537, "name": "Cornel2016CFM-image.jpg", "type": "image/jpeg", "size": 169070, "path": "Publication:Cornel2016CFM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 877, 1205, 1058, 1207, 1008, 171, 798 ], "event": "EuroVis 2016", "journal": "Computer Graphics Forum", "lecturer": [ 877 ], "location": "Gronningen, The Netherlands", "number": "3", "pages_from": "461", "pages_to": "470", "volume": "35", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 914, "image_height": 537, "name": "Cornel2016CFM-image.jpg", "type": "image/jpeg", "size": 169070, "path": "Publication:Cornel2016CFM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Cornel2016CFM-paper.pdf", "type": "application/pdf", "size": 15694822, "path": "Publication:Cornel2016CFM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/", "__class": "Publication" }, { "id": "Cornel_Daniel_2015_VOC", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visualization of Object-Centered Vulnerability to Possible Flood Hazards", "date": "2015-06", "abstract": "As flood events tend to happen more frequently, there is a growing demand for understanding the vulnerability of infrastructure to flood-related hazards. Such demand exists both for flood management personnel and the general public. Modern software tools are capable of generating uncertainty-aware flood predictions. However, the information addressing individual objects is incomplete, scattered, and hard to extract. In this paper, we address vulnerability to flood-related hazards focusing on a specific building. Our approach is based on the automatic extraction of relevant information from a large collection of pre-simulated flooding events, called a scenario pool. From this pool, we generate uncertainty-aware visualizations conveying the vulnerability of the building of interest to different kinds of flooding events. On the one hand, we display the adverse effects of the disaster on a detailed level, ranging from damage inflicted on the building facades or cellars to the accessibility of the important infrastructure in the vicinity. On the other hand, we provide visual indications of the events to which the building of interest is vulnerable in particular. Our visual encodings are displayed in the context of urban 3D renderings to establish an intuitive relation between geospatial and abstract information. We combine all the visualizations in a lightweight interface that enables the user to study the impacts and vulnerabilities of interest and explore the scenarios of choice. We evaluate our solution with experts involved in flood management and public communication.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 877, 1205, 1058, 1207, 166, 798 ], "date_from": "2015-05-25", "date_to": "2015-05-29", "event": "Euro Vis 2015", "issn": "1467-8659 (Online ISSN)", "journal": "Computer Graphic Forum", "lecturer": [ 877 ], "location": "Cagliari, Sardinia, Italy", "note": "3rd Best Paper Award", "number": "3", "pages_from": "331", "pages_to": "340", "volume": "34", "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/wol1/doi/10.1111/cgf.12645/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Cornel_Daniel_2015_VOC/", "__class": "Publication" }, { "id": "Groeller_2014_RWA", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Run Watchers: Automatic Simulation-Based Decision Support in Flood Management", "date": "2014-12", "abstract": "In this paper, we introduce a simulation-based approach to design protection plans for flood events. Existing solutions require a lot of computation time for an exhaustive search, or demand for a time-consuming expert supervision and steering. We\npresent a faster alternative based on the automated control of multiple parallel simulation runs. Run Watchers are dedicated system components authorized to monitor simulation runs, terminate them, and start new runs originating from existing ones according to domain-specific rules. This approach allows for a more efficient traversal of the search space and overall performance improvements\ndue to a re-use of simulated states and early termination of failed runs. In the course of search, Run Watchers generate large and complex decision trees. We visualize the entire set of decisions made by Run Watchers using interactive, clustered timelines. In\naddition, we present visualizations to explain the resulting response plans. Run Watchers automatically generate storyboards to convey plan details and to justify the underlying decisions, including those which leave particular buildings unprotected. We evaluate\nour solution with domain experts.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1205, 798, 1058, 877, 1206, 1207, 166 ], "booktitle": "IEEE Transactions on Visualization and Computer Graphics/Proceedings of VAST 2014", "date_from": "2014-11-09", "date_to": "2014-11-14", "event": "Euro Vis 2014", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1205 ], "location": "Paris, France", "number": "12", "pages_from": "1873", "pages_to": "1882", "publisher": "IEEE", "volume": "20", "research_areas": [ "InfoVis" ], "keywords": [ "visual evidence", "Disaster management", "simulation control", "storytelling", "decision making" ], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2014.2346930", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Groeller_2014_RWA-Paper.pdf", "type": "application/pdf", "size": 1021356, "path": "Publication:Groeller_2014_RWA", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_RWA/Groeller_2014_RWA-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_RWA/Groeller_2014_RWA-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_RWA/", "__class": "Publication" }, { "id": "Ribicic_2012_SUS", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Sketching Uncertainty into Simulations", "date": "2012-12", "abstract": "In a variety of application areas, the use of simulation steering in decision making is limited at best. Research focusing on this problem suggests that most user interfaces are too complex for the end user. Our goal is to let users create and investigate multiple, alternative scenarios without the need for special simulation expertise. To simplify the specification of parameters, we move from a traditional manipulation of numbers to a sketch-based input approach. Users steer both numeric parameters and parameters with a spatial correspondence by sketching a change onto the rendering. Special visualizations provide immediate visual feedback on how the sketches are transformed into boundary conditions of the simulation models. Since uncertainty with respect to many intertwined parameters plays an important role in planning, we also allow the user to intuitively setup complete value ranges, which are then automatically transformed into ensemble simulations. The interface and the underlying system were developed in collaboration with experts in the field of flood management. The real-world data they have provided has allowed us to construct scenarios used to evaluate the system. These were presented to a variety of flood response personnel, and their feedback is discussed in detail in the paper. The interface was found to be intuitive and relevant, although a certain amount of training might be necessary.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 889, 798, 1057, 1058, 166 ], "journal": "IEEE Transaction on Visualization and Computer Graphics", "number": "12", "pages_from": "2255", "pages_to": "2264", "volume": "18", "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6327230", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ribicic_2012_SUS/", "__class": "Publication" }, { "id": "Ribicic_2012_VAS", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Visual analysis and steering of flooding simulations", "date": "2012", "abstract": "We present a visualization tool for the real-time analysis of interactively steered ensemble-simulation runs, and apply it to flooding simulations. Simulations are performed on-the-fly, generating large quantities of data. The user wants to make sense of the data as it is created. The tool facilitates understanding: of what happens in all scenarios, where important events occur and how simulation runs are related. We combine different approaches to achieve this goal. To maintain an overview, data is aggregated and embedded into the simulation rendering, showing trends, outliers, and robustness. For a detailed view, we use information-visualization views and interactive visual analysis techniques. A selection mechanism connects the two approaches. Points of interest are selected by clicking on aggregates, supplying data for visual analysis. This allows the user to maintain an overview of the ensemble and perform analysis even as new data is supplied through simulation steering. Unexpected or unwanted developments are detected easily, and the user can focus the exploration on them. The solution was evaluated with two case studies focusing on placing and testing flood defense measures. Both were evaluated by a consortium of flood simulation and defense experts, who found the system to be both intuitive and relevant.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 889, 798, 672, 1330, 166 ], "journal": "IEEE Transaction on Visualization and Computer Graphics", "number": "99", "volume": "PP", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6280550", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ribicic_2012_VAS/", "__class": "Publication" }, { "id": "Groeller_2011_NR", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Nodes on Ropes: A Comprehensive Data and Control Flow for Steering Ensemble Simulations", "date": "2011-12", "abstract": "Flood disasters are the most common natural risk and tremendous efforts are spent to improve their simulation and\nmanagement. However, simulation-based investigation of actions that can be taken in case of flood emergencies is rarely done.\nThis is in part due to the lack of a comprehensive framework which integrates and facilitates these efforts. In this paper, we tackle\nseveral problems which are related to steering a flood simulation. One issue is related to uncertainty. We need to account for\nuncertain knowledge about the environment, such as levee-breach locations. Furthermore, the steering process has to reveal how\nthese uncertainties in the boundary conditions affect the confidence in the simulation outcome. Another important problem is that the\nsimulation setup is often hidden in a black-box. We expose system internals and show that simulation steering can be comprehensible\nat the same time. This is important because the domain expert needs to be able to modify the simulation setup in order to include local\nknowledge and experience. In the proposed solution, users steer parameter studies through the World Lines interface to account for\ninput uncertainties. The transport of steering information to the underlying data-flow components is handled by a novel meta-flow. The\nmeta-flow is an extension to a standard data-flow network, comprising additional nodes and ropes to abstract parameter control. The\nmeta-flow has a visual representation to inform the user about which control operations happen. Finally, we present the idea to use\nthe data-flow diagram itself for visualizing steering information and simulation results. We discuss a case-study in collaboration with a\ndomain expert who proposes different actions to protect a virtual city from imminent flooding. The key to choosing the best response\nstrategy is the ability to compare different regions of the parameter space while retaining an understanding of what is happening\ninside the data-flow system.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2126, "image_height": 1673, "name": "Groeller_2011_NR-Image.png", "type": "image/png", "size": 514334, "path": "Publication:Groeller_2011_NR", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/Groeller_2011_NR-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/Groeller_2011_NR-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 798, 889, 672, 978, 829, 1330, 166 ], "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 798 ], "number": "12", "pages_from": "1872", "pages_to": "1881", "volume": "17", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6064950", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2126, "image_height": 1673, "name": "Groeller_2011_NR-Image.png", "type": "image/png", "size": 514334, "path": "Publication:Groeller_2011_NR", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/Groeller_2011_NR-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/Groeller_2011_NR-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Groeller_2011_NR-Paper.pdf", "type": "application/pdf", "size": 1829746, "path": "Publication:Groeller_2011_NR", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/Groeller_2011_NR-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/Groeller_2011_NR-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/", "__class": "Publication" }, { "id": "waser_2011_VSD", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Visual Steering to Support Decision Making in Visdom", "date": "2011-05", "abstract": "Computer simulation has become an ubiquitous tool to investigate\nthe nature of systems. When steering a simulation, users modify parameters\nto study their impact on the simulation outcome. The ability to test\nalternative options provides the basis for interactive decision making. Increasingly\ncomplex simulations are characterized by an intricate interplay\nof many heterogeneous input and output parameters. A steering concept\nthat combines simulation and visualization within a single, comprehensive\nsystem is largely missing. This thesis targets the basic components\nof a novel integrated steering system called Visdom to support the user\nin the decision making process. The proposed techniques enable users\nto examine alternative scenarios without the need for special simulation\nexpertise. To accomplish this, we propose World Lines as a management\nstrategy for multiple, related simulation runs. In a dedicated view, users\ncreate and navigate through many simulation runs. New decisions are\nincluded through the concept of branching. To account for uncertain\nknowledge about the input parameters, we provide the ability to cover\nfull parameter distributions. Via multiple cursors, users navigate a system\nof multiple linked views through time and alternative scenarios. In this\nway, the system supports comparative visual analysis of many simulation\nruns. Since the steering process generates a huge amount of information,\nwe employ the machine to support the user in the search for explanations\ninside the computed data. Visdom is built on top of a data-flow network\nto provide a high level of modularity. A decoupled meta-flow is in charge\nof transmitting parameter changes from World Lines to the affected dataflow\nnodes. To direct the user attention to the most relevant parts, we\nprovide dynamic visualization inside the flow diagram. The usefulness of\nthe presented approach is substantiated through case studies in the field\nof flood management. The Visdom application enables the design of a\nbreach closure by dropping sandbags in a virtual environment.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1000, "image_height": 985, "name": "waser_2011_VSD-Image.jpg", "type": "image/jpeg", "size": 134428, "path": "Publication:waser_2011_VSD", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/waser_2011_VSD/waser_2011_VSD-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/waser_2011_VSD/waser_2011_VSD-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 798 ], "date_end": "2011-06", "date_start": "2008-10", "reviewer_1": [ 166 ], "reviewer_2": [ 1330 ], "rigorosum": "2011-06-15", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [ "CFD", "Data-Flow", "Simulation Steering", "Comparative Visual Analysis", "Multiple Simulation Runs", "Problem Solving Environment", "Hypothesis Generation", "Uncertainty", "Flood Management" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1000, "image_height": 985, "name": "waser_2011_VSD-Image.jpg", "type": "image/jpeg", "size": 134428, "path": "Publication:waser_2011_VSD", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/waser_2011_VSD/waser_2011_VSD-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/waser_2011_VSD/waser_2011_VSD-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "waser_2011_VSD-Thesis.pdf", "type": "application/pdf", "size": 41981581, "path": "Publication:waser_2011_VSD", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/waser_2011_VSD/waser_2011_VSD-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/waser_2011_VSD/waser_2011_VSD-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/waser_2011_VSD/", "__class": "Publication" }, { "id": "Waser-2010-WL", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "World Lines", "date": "2010-11", "abstract": "In this paper we present World Lines as a novel interactive visualization that provides complete control over multiple\r\nheterogeneous simulation runs. In many application areas, decisions can only be made by exploring alternative scenarios. The goal\r\nof the suggested approach is to support users in this decision making process. In this setting, the data domain is extended to a set of\r\nalternative worlds where only one outcome will actually happen. World Lines integrates simulation, visualization and computational\r\nsteering into a single unified system that is capable of dealing with the extended solution space. World Lines represents simulation\r\nruns as causally connected tracks that share a common time axis. This setup enables users to interfere and add new information\r\nquickly. A World Line is introduced as a visual combination of user events and their effects in order to present a possible future. To\r\nquickly find the most attractive outcome, we suggest World Lines as the governing component in a system of multiple linked views\r\nand a simulation component. World Lines employs linking and brushing to enable comparative visual analysis of multiple simulations\r\nin linked views. Analysis results can be mapped to various visual variables that World Lines provides in order to highlight the most\r\ncompelling solutions. To demonstrate this technique we present a flooding scenario and show the usefulness of the integrated\r\napproach to support informed decision making.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 814, "image_height": 601, "name": "Waser-2010-WL-Image.jpg", "type": "image/jpeg", "size": 43610, "path": "Publication:Waser-2010-WL", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Waser-2010-WL/Waser-2010-WL-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Waser-2010-WL/Waser-2010-WL-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 798, 672, 889, 829, 1330, 166 ], "booktitle": "IEEE Transactions on Visualization and Computer Graphics", "date_from": "2010", "journal": "IEEE Transactions on visualization and Computer Graphics", "lecturer": [ 798 ], "number": "6", "pages_from": "1458", "pages_to": "1467", "volume": "16", "research_areas": [], "keywords": [ "decision making, simulation steering", "parallel worlds, CFD", "smoothed particle hydrodynamics.", "Problem solving environment" ], "weblinks": [ { "href": "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=5613487&contentType=Journals+%26+Magazines&searchField%3DSearch_All%26queryText%3DWorld+Lines", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 814, "image_height": 601, "name": "Waser-2010-WL-Image.jpg", "type": "image/jpeg", "size": 43610, "path": "Publication:Waser-2010-WL", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Waser-2010-WL/Waser-2010-WL-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Waser-2010-WL/Waser-2010-WL-Image:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Waser-2010-WL-Paper.pdf", "type": "application/pdf", "size": 10682233, "path": "Publication:Waser-2010-WL", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Waser-2010-WL/Waser-2010-WL-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Waser-2010-WL/Waser-2010-WL-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Semantic Steering" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Waser-2010-WL/", "__class": "Publication" }, { "id": "fuchs_vhml", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual Human+Machine Learning", "date": "2009-10", "abstract": "In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combines the vast search and processing power of the computer with the superior reasoning and pattern recognition capabilities of the human user. An evolutionary search algorithm has been adapted to assist in the fuzzy logic formalization of hypotheses that aim at explaining features inside multivariate, volumetric data. Up to now, users solely rely on their knowledge and expertise when looking for explanatory theories. However, it often remains unclear whether the selected attribute ranges represent the real explanation for the feature of interest. Other selections hidden in the large number of data variables could potentially lead to similar features. Moreover, as simulation complexity grows, users are confronted with huge multidimensional data sets making it almost impossible to find meaningful hypotheses at all. We propose an interactive cycle of knowledge-based analysis and automatic hypothesis generation. Starting from initial hypotheses, created with linking and brushing, the user steers a heuristic search algorithm to look for alternative or related hypotheses. The results are analyzed in information visualization views that are linked to the volume rendering. Individual properties as well as global aggregates are visually presented to provide insight into the most relevant aspects of the generated hypotheses. This novel approach becomes computationally feasible due to a GPU implementation of the time-critical parts in the algorithm. A thorough evaluation of search times and noise sensitivity as well as a case study on data from the automotive domain substantiate the usefulness of the suggested approach.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Human + Machine", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 540, "image_height": 560, "name": "fuchs_vhml-Teaser.jpg", "type": "image/jpeg", "size": 38977, "path": "Publication:fuchs_vhml", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 672, 798, 166 ], "date_from": "2009-10-11", "date_to": "2009-10-16", "event": "IEEE Visualization", "issn": "1077-2626", "journal": "IEEE TVCG", "lecturer": [ 672 ], "location": "Atlantic City, New Jersey, USA", "number": "6", "pages_from": "1327", "pages_to": "1334", "volume": "15", "research_areas": [], "keywords": [ "Volumetric Data", "Interactive Visual Analysis", "Knowledge Discovery", "Genetic Algorithm", "Curse of Dimensionality", "Predictive Analysis", "Computer-assisted Multivariate Data Expl", "Multiple Competing Hypotheses" ], "weblinks": [], "files": [ { "description": "Curse of dimensionality for IVA. In the space of all possible hypotheses it is not clear if the current one is the only candidate. This is a common problem engineers encounter when they use standard IVA methods (linking and brushing) for making sense of multidimensional simulation results. Secondly, searching for a hypothesis to explain a given spatial feature can be almost impossible for the user.", "filetitle": "Image2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 576, "name": "fuchs_vhml-Image2.jpg", "type": "image/jpeg", "size": 95086, "path": "Publication:fuchs_vhml", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image2.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image2:thumb{{size}}.png" }, { "description": "We propose the extension of human learning with machine learning, comprising a genetic algorithm that efficiently searches for the best hypotheses available.", "filetitle": "Image3", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 551, "name": "fuchs_vhml-Image3.jpg", "type": "image/jpeg", "size": 60474, "path": "Publication:fuchs_vhml", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image3.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image3:thumb{{size}}.png" }, { "description": "Interaction example. (1) The user has the idea that attributes $a_8$ and $a_9$ describe a feature of interest. The resulting feature is shown in a rendering to the right. (2) The user runs the machine learning algorithm to search for hypotheses. The best resulting hypothesis has 65\\% fitness. The coloring (dark green) shows that attributes $a_0$ and $a_1$ are important in the entire population. (3) The user deactivates genes on other attributes and the fitness increases. (4) Via interactive visual analysis, the user improves the hypothesis. It is still unclear whether there are alternative hypotheses. (5) A larger search has found an alternative hypothesis. (6) The alternative explanation consists of two clauses combined by conjunction (AND). If one of the two clauses is missing, the feature vanishes. (7) The first clause contains the disjunction (OR) of multiple selections. Attributes $a_2$, $a_3$ select the shape \"Vis\" only. (8) Automatic local optimization via hill climbing finds the optimal selections.", "filetitle": "Image4", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1641, "image_height": 622, "name": "fuchs_vhml-Image4.jpg", "type": "image/jpeg", "size": 149274, "path": "Publication:fuchs_vhml", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image4.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image4:thumb{{size}}.png" }, { "description": "Fuzzy logic hypotheses. The hypothesis is visualized as a stack of filter layers (clauses) with partially-transparent regions (fuzzy selections). The overlapping layers have a selective filter effect on the data items (spheres) above. While fully selected in the beginning (red), some of the spheres are being re-colored when falling through the stack. Less selected items receive higher desaturation, becoming grey if deselected.", "filetitle": "Image5", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 977, "image_height": 766, "name": "fuchs_vhml-Image5.jpg", "type": "image/jpeg", "size": 79139, "path": "Publication:fuchs_vhml", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image5.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image5:thumb{{size}}.png" }, { "description": "Local ranking. For evaluating the rank of a hypothesis (grey number on the podiums), the current hypothesis (blue) is competing with its nearest neighbors in resemblance space. The higher its feature similarity (higher podium), the higher its rank. The individuality is then computed as the resemblance to the users hypothesis (brown), weighted with respect to the evaluated rank.", "filetitle": "Image6", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 416, "name": "fuchs_vhml-Image6.jpg", "type": "image/jpeg", "size": 26249, "path": "Publication:fuchs_vhml", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image6.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image6:thumb{{size}}.png" }, { "description": "Performance analysis: The search algorithm has been tested on synthetic data at different noise levels. The left graph shows the number of generations needed until a feature similarity of 0.8 has been reached. The right plot shows the related timing results.", "filetitle": "Image7", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 536, "image_height": 197, "name": "fuchs_vhml-Image7.jpg", "type": "image/jpeg", "size": 16106, "path": "Publication:fuchs_vhml", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image7.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image7:thumb{{size}}.png" }, { "description": "Case study story: The engineer knows that there are critical temperatures inside the data set. An initial search shows that density and temperature are highly related since vaporized coolant has low density. The user adjusts his hypothesis to *hot AND vapor* and starts a larger search, but there is no single best solution. He analyzes the attribute ranges with the highest fitness and finds multiple hypotheses which can explain the hot temperatures at different locations in the data set. A: where pressure is high, the vapor could be compressed too much. B: where recirculation areas appear, the fluid transport could be hindered. C: vortex regions could trap hot fluid inside.", "filetitle": "Image8", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1200, "image_height": 586, "name": "fuchs_vhml-Image8.jpg", "type": "image/jpeg", "size": 164250, "path": "Publication:fuchs_vhml", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image8.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image8:thumb{{size}}.png" }, { "description": "Feature comparison: (top) Temperature distribution in a plane. (A-C) Selected areas correspond to the findings in Figure 8. We can see that the different variables explain different but partially overlapping subsets of the fluid.", "filetitle": "Image9", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 555, "name": "fuchs_vhml-Image9.jpg", "type": "image/jpeg", "size": 71917, "path": "Publication:fuchs_vhml", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image9.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image9:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "fuchs_vhml-Paper.pdf", "type": "application/pdf", "size": 37542863, "path": "Publication:fuchs_vhml", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Paper:thumb{{size}}.png" }, { "description": "Human + Machine", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 540, "image_height": 560, "name": "fuchs_vhml-Teaser.jpg", "type": "image/jpeg", "size": 38977, "path": "Publication:fuchs_vhml", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/", "__class": "Publication" } ]