Data and information created by various processes (e.g., simulations) is getting larger, and more and more complex. We use interactive visualization and analysis techniques to facilitate exploration of complex parameter spaces (e.g., to analyze and compare parameters for automotive engineering, reconstruction algorithms, or geometry generators) or unstructured information collections (e.g., annotated digital documents or image collections). Our research focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning.
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"sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "spegel-gruenberger-2020", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "steinschorn-2025-parameter", "stoff-2025-pvu", "stoff-concepMap-2021", "stritzel2022", "Strohmayer-2018-BT", "takahashi-2019-acdt", "tekaya-2025-amo", "telaar_sina-2026-baa", "Thomas-2018", "TR1862162", "Troidl_2019", "turner-aso", "unger-2019_vcp", "vad_viktor-2017-WVE", "vaico", "Vasileva-2018", "vasileva-2019-smw", "Wagner_032017", "wagner-2024-par", "walchhofer_ar_flowmaps", "waldin-2019-ccm", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "webGPU_aggregateVis-2023", "wolf-2023-cc", "wolf-2024-jhd", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-eurovis-star", "wu-2020-tvcg", "ymca", "YOGHOURDJIAN2019" ], "projects": [ "BioNetIllustration", "d10206", "d10413", "d10450", "d9282", "d9522", "d9555", "deskollage", "Scenario Pool" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=InfoVis", "__class": "ResearchArea" } ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 603, "image_height": 446, "name": "schmidt-phd-teaser.png", "type": "image/png", "size": 11954, "path": "Publication:schmidt-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 589, "preview_image_height": 460, "name": "schmidt-phd-thesis.pdf", "type": "application/pdf", "size": 42185190, "path": "Publication:schmidt-phd", "preview_name": "schmidt-phd-thesis:preview.png", "preview_type": "image/png", "preview_size": 814656, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "ViMaL", "workgroup_id": "vis", "drupal_id": 4222, "drupal_path": "/research/projects/ViMaL", "name": "ViMaL: A Visualization Mapping Language", "name_de": null, "short_title": "ViMaL", "website": null, "status": "active", "short_abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "start_date": "2010-01-01", "end_date": "2014-12-31", "leader_id": 166, "logo": { "name": "logo.png", "path": "project:ViMaL", "type": "image/png", "size": 51461, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 21695-N23", "comment": null } ], "research_areas": [], "publications": [ "beham-2014-cupid", "Birkeland-2012-IMC", "borgo-2013-gly", "bruckner-2010-HVC", "Csebfalvi-2012-IOM", "Groeller_2011_NR", "Herghelegiu-2012-BPV", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2014-CSD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mctalk", 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"raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rozana-2026-vcfd", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", 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"tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", 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"viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/", "__class": "Publication" }, { "id": "Labschuetz_Matthias_2016_JITT", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "JiTTree: A Just-in-Time Compiled Sparse GPU Volume Data Structure", "date": "2016-01", "abstract": "Sparse volume data structures enable the efficient representation of large but sparse volumes in GPU memory for computation\r\nand visualization. However, the choice of a specific data structure for a given data set depends on several factors, such as\r\nthe memory budget, the sparsity of the data, and data access patterns. In general, there is no single optimal sparse data structure,\r\nbut a set of several candidates with individual strengths and drawbacks. One solution to this problem are hybrid data structures which\r\nlocally adapt themselves to the sparsity. However, they typically suffer from increased traversal overhead which limits their utility in\r\nmany applications. This paper presents JiTTree, a novel sparse hybrid volume data structure that uses just-in-time compilation to\r\novercome these problems. By combining multiple sparse data structures and reducing traversal overhead we leverage their individual\r\nadvantages. We demonstrate that hybrid data structures adapt well to a large range of data sets. They are especially superior to\r\nother sparse data structures for data sets that locally vary in sparsity. Possible optimization criteria are memory, performance and\r\na combination thereof. Through just-in-time (JIT) compilation, JiTTree reduces the traversal overhead of the resulting optimal data\r\nstructure. As a result, our hybrid volume data structure enables efficient computations on the GPU, while being superior in terms of\r\nmemory usage when compared to non-hybrid data structures.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 840, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Matthias", "lastname": "Labschütz", "searchname": "Matthias Labschütz", "is_teacher": false, "name": "Matthias Labschütz", "publications": [ "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "labschuetz-2010-bms", "labschuetz-2011-rsr", "labschuetz-2014-IGI" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Labschuetz_Matthias_2015_JIT", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Labschuetz_Matthias_2016_JIT", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Labschuetz_Matthias_2016_JITT", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=840", "__class": "Author" }, { "id": 161, "drupal_id": 315, "orcid_id": "0000-0002-0885-8402", "website": "https://www.cg.tuwien.ac.at/staff/StefanBruckner", "firstname": "Stefan", "lastname": "Bruckner", "searchname": "Stefan Bruckner", "is_teacher": true, "name": "Stefan Bruckner", "publications": [ "amirkhanov_2012heur", "Auzinger_Mistelbauer_2013_CSR", "Birkeland-2012-IMC", "brucker-2010-RES", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2004-EVV", "bruckner-2005-AIV", "bruckner-2005-ATI", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "bruckner-2010-ISM", "bruckner-2010-SES", 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"projects_workgroups": [ { "id": "ViMaL", "workgroup_id": "vis", "drupal_id": 4222, "drupal_path": "/research/projects/ViMaL", "name": "ViMaL: A Visualization Mapping Language", "name_de": null, "short_title": "ViMaL", "website": null, "status": "active", "short_abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "start_date": "2010-01-01", "end_date": "2014-12-31", "leader_id": 166, "logo": { "name": "logo.png", "path": "project:ViMaL", "type": "image/png", "size": 51461, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 21695-N23", "comment": null } ], "research_areas": [], "publications": [ "beham-2014-cupid", "Birkeland-2012-IMC", "borgo-2013-gly", "bruckner-2010-HVC", "Csebfalvi-2012-IOM", "Groeller_2011_NR", "Herghelegiu-2012-BPV", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2014-CSD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mctalk", "mindek-thesis", "oeltze-2013-tut", "Peter_2012_AIV", "rautek2010", "Ropinski-2012-UBT", "schmidt-phd", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Soros_AVN_2011", "vaico", "ymca" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_JITT/", "__class": "Publication" }, { "id": "mindek-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Integrated Exploration and Management of Visualization Parameters", "date": "2015", "abstract": "Visualization algorithms are parameterized to offer universality in terms of handling various data types, showing different aspects of the visualized data, or producing results useful for domain experts from different fields. Hence, input parameters are an important aspect of the visualization process. Their exploration and management are tasks which enable the visualization reusability, portability, and interdisciplinary communication.\n\nWith increasing availability of visualization systems, which are suitable for a great variety of tasks, their complexity increases as well. This usually involves many input parameters necessary for the meaningful visualization of data. Multiple input parameters form parameter spaces which are too large to be explored by brute-force. Knowing the properties of a parameter space is often beneficial for improving data visualization. Therefore, it is important for domain experts utilizing data visualization to have tools for automatic parameter specification and for aiding the manual parameter setting.\n\nIn this thesis, we review existing approaches for parameter-space visualization, exploration, and management. These approaches are used with a great variety of underlying algorithms. We focus on their applicability to visualization algorithms. We propose three methods solving specific problems arising from the fact that the output of a visualization algorithm is an image, which is challenging to process automatically and often needs to be analyzed by a human.\n\nFirst, we propose a method for the exploration of parameter-spaces of visualization algorithms. The method is used to understand effects of combinations of parameters and parts of the internal structure of the visualization algorithms on the final image result. The exploration is carried out by specifying semantics for localized parts of the visualization images in the form of positive and negative examples influenced by a set of input parameters or parts of the visualization algorithm itself. After specifying the localized semantics, global effects of the specified components of the visualization algorithm can be observed. The method itself is independent from the underlying algorithm.\n\nSubsequently, we present a method for managing image-space selections in visualizations and automatically link them with the context in which they were created. The context is described by the values of the visualization parameters influencing the output image. The method contains a mechanism for linking additional views to the selections, allowing the user an effective management of the visualization parameters whose effects are localized to certain areas of the visualizations. We present various applications for the method, as well as an implementation in the form of a library, which is ready to be used in existing visualization systems.\n\nOur third method is designed to integrate dynamic parameters stored during a multiplayer video game session by the individual participating players. For each player, the changing parameter values of the game describe their view of the gameplay. Integrating these multiple views into a single continuous visual narrative provides means for effective summarization of gameplays, useful for entertainment, or even gameplay analysis purposes by semi-professional or professional players. We demonstrate the utility of our approach on an existing video game by producing a gameplay summary of a multiplayer game session. The proposed method opens possibilities for further research in the areas of storytelling, or at a more abstract level, parameter integration for visual computing algorithms.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 212, "name": "mindek-thesis-.png", "type": "image/png", "size": 22082, "path": "Publication:mindek-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 935, "drupal_id": 45, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/PeterMindek", "firstname": "Peter", "lastname": "Mindek", 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The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "start_date": "2010-01-01", "end_date": "2014-12-31", "leader_id": 166, "logo": { "name": "logo.png", "path": "project:ViMaL", "type": "image/png", "size": 51461, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 21695-N23", "comment": null } ], "research_areas": [], "publications": [ "beham-2014-cupid", "Birkeland-2012-IMC", "borgo-2013-gly", "bruckner-2010-HVC", "Csebfalvi-2012-IOM", "Groeller_2011_NR", "Herghelegiu-2012-BPV", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2014-CSD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mctalk", "mindek-thesis", "oeltze-2013-tut", "Peter_2012_AIV", "rautek2010", "Ropinski-2012-UBT", "schmidt-phd", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Soros_AVN_2011", "vaico", "ymca" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/", "__class": "Publication" }, { "id": "mindek-2015-mctalk", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Automatized Summarization of Multiplayer Games", "date": "2015", "abstract": "We present a novel method for creating automatized gameplay dramatization of multiplayer video games. The dramatization serves as a visual form of guidance through dynamic 3D scenes with multiple foci, typical for such games. Our goal is to convey interesting aspects of the gameplay by animated sequences creating a summary of events which occurred during the game. Our technique is based on processing many cameras, which we refer to as a flock of cameras, and events captured during the gameplay, which we organize into a so-called event graph. Each camera has a lifespan with a certain time interval and its parameters such as position or look-up vector are changing over time. Additionally, during its lifespan each camera is assigned an importance function, which is dependent on the significance of the structures that are being captured by the camera. The images captured by the cameras are composed into a single continuous video using a set of operators based on cinematographic effects. The sequence of operators is selected by traversing the event graph and looking for specific patterns corresponding to the respective operators. In this way, a large number of cameras can be processed to generate an informative visual story presenting the gameplay. Our compositing approach supports insets of camera views to account for several important cameras simultaneously. Additionally, we create seamless transitions between individual selected camera views in order to preserve temporal continuity, which helps the user to follow the virtual story of the gameplay.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 635, "image_height": 479, "name": "mindek-2015-mctalk-.jpg", "type": "image/jpeg", "size": 32296, "path": "Publication:mindek-2015-mctalk", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/mindek-2015-mctalk-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/mindek-2015-mctalk-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 935, "drupal_id": 45, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/PeterMindek", "firstname": "Peter", "lastname": "Mindek", "searchname": "Peter Mindek", "is_teacher": false, "name": "Peter Mindek", "publications": [ "eschner-2023-ims", "karimov-2013-vivisection", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PMP", "koch_bernhard_2018-1", "kouril-2021-molecumentary", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Miao_2019", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-tedx", "mindek-thesis", "mindek-xmas-card-2014", "mindek-xmas-card-2016", "nguyen_2020-covid", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "TR-186-2-15-03", "wu-2021", "wu-2021-vi", "xmas-2012" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "bayer-2015-gapaot", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "bydlinski-2015-gapaot", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "eschner-blur-2022", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Escribano_2017", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "gostler-2015-3dp", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "lemuzic-mindek-2016-viseq", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "liu-2014-ac", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Manczarski-2016", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "mindek-2013-csl", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "mindek-2013-pel", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "mindek-2015-mc", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "mindek-2016-utah-talk", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "mindek-2017-marion", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "mindek-2018-fyi", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "schwankl-2013-smis", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "travnicek-2017-thm", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "travnicek-2017-thm", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "zauner-2013-svkinect", "field_id": "supervisor", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=935", "__class": "Author" } ], "date_from": "2015-05-04", "event": "Numerical Geometry Seminar", "location": "Comenius University in Bratislava", "research_areas": [], "keywords": [ "Animation", "Storytelling", "Game Visualization" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 635, "image_height": 479, "name": "mindek-2015-mctalk-.jpg", "type": "image/jpeg", "size": 32296, "path": "Publication:mindek-2015-mctalk", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/mindek-2015-mctalk-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/mindek-2015-mctalk-:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "ViMaL", "workgroup_id": "vis", "drupal_id": 4222, "drupal_path": "/research/projects/ViMaL", "name": "ViMaL: A Visualization Mapping Language", "name_de": null, "short_title": "ViMaL", "website": null, "status": "active", "short_abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "start_date": "2010-01-01", "end_date": "2014-12-31", "leader_id": 166, "logo": { "name": "logo.png", "path": "project:ViMaL", "type": "image/png", "size": 51461, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 21695-N23", "comment": null } ], "research_areas": [], "publications": [ "beham-2014-cupid", "Birkeland-2012-IMC", "borgo-2013-gly", "bruckner-2010-HVC", "Csebfalvi-2012-IOM", "Groeller_2011_NR", "Herghelegiu-2012-BPV", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2014-CSD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mctalk", "mindek-thesis", "oeltze-2013-tut", "Peter_2012_AIV", "rautek2010", "Ropinski-2012-UBT", "schmidt-phd", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Soros_AVN_2011", "vaico", "ymca" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/", "__class": "Publication" }, { "id": "beham-2014-cupid", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Cupid: Cluster-based Exploration of Geometry Generators with Parallel Coordinates and Radial Trees", "date": "2014-12", "abstract": "Geometry generators are commonly used in video games and evaluation systems for computer vision to create geometric shapes such as terrains, vegetation or airplanes. The parameters of the generator are often sampled automatically which can lead to many similar or unwanted geometric shapes. In this paper, we propose a novel visual exploration approach that combines the abstract parameter space of the geometry generator with the resulting 3D shapes in a composite visualization. Similar geometric shapes are first grouped using hierarchical clustering and then nested within an illustrative parallel coordinates visualization. This helps the user to study the sensitivity of the generator with respect to its parameter space and to identify invalid parameter settings. Starting from a compact overview representation, the user can iteratively drill-down into local shape differences by clicking on the respective clusters. Additionally, a linked radial tree gives an overview of the cluster hierarchy and enables the user to manually split or merge clusters. We evaluate our approach by exploring the parameter space of a cup generator and provide feedback from domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 307, "image_height": 255, "name": "beham-2014-cupid-teaser.png", "type": "image/png", "size": 235549, "path": "Publication:beham-2014-cupid", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 816, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Michael", "lastname": "Beham", "searchname": "Michael Beham", "is_teacher": false, "name": 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"projects_workgroups": [ { "id": "ViMaL", "workgroup_id": "vis", "drupal_id": 4222, "drupal_path": "/research/projects/ViMaL", "name": "ViMaL: A Visualization Mapping Language", "name_de": null, "short_title": "ViMaL", "website": null, "status": "active", "short_abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. 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We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. 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The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. 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In this paper we focus on the reconstruction of meshes from point clouds, which are sets of points in 3D. Several algorithms that tackle this task already exist, but they have different benefits and drawbacks, which leads to a large number of possible reconstruction results (i.e., meshes). The evaluation of those techniques requires extensive comparisons between different meshes which is up to now done by either placing images of rendered meshes side-by-side, or by encoding differences by heat maps. A major drawback of both approaches is that they do not scale well with the number of meshes. This paper introduces a new comparative visual analysis technique for 3D meshes which enables the simultaneous comparison of several meshes and allows for the interactive exploration of their differences. Our approach gives an overview of the differences of the input meshes in a 2D view. By selecting certain areas of interest, the user can switch to a 3D representation and explore the spatial differences in detail. To inspect local variations, we provide a magic lens tool in 3D. The location and size of the lens provide further information on the variations of the reconstructions in the selected area. 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The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "start_date": "2010-01-01", "end_date": "2014-12-31", "leader_id": 166, "logo": { "name": "logo.png", "path": "project:ViMaL", "type": "image/png", "size": 51461, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 21695-N23", "comment": null } ], "research_areas": [], "publications": [ "beham-2014-cupid", "Birkeland-2012-IMC", "borgo-2013-gly", "bruckner-2010-HVC", "Csebfalvi-2012-IOM", "Groeller_2011_NR", "Herghelegiu-2012-BPV", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2014-CSD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mctalk", "mindek-thesis", "oeltze-2013-tut", "Peter_2012_AIV", "rautek2010", "Ropinski-2012-UBT", "schmidt-phd", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Soros_AVN_2011", "vaico", "ymca" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek_peter-2014-cs_kaust/", "__class": "Publication" }, { "id": "Kehrer-2014-CSD", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Analysis of Complex Scientific Data", "date": "2014", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 983, "drupal_id": 629, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/JohannesKehrer", "firstname": "Johannes", "lastname": "Kehrer", "searchname": "Johannes Kehrer", "is_teacher": false, "name": "Johannes Kehrer", "publications": [ "beham-2014-cupid", "borgo-2013-gly", "daae-lampe-2010-dif", "Kehrer-2007-Mas", "Kehrer-2008-hyp", "Kehrer-2010-mom", "Kehrer-2011-PhD", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "Ladstaedter-2009-sim", "Ladstaedter-2010-exp", "lie-2009-cri", "Muigg-2008-four", "oeltze-2013-tut", "TR1862162" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Beham_Michael_PSC", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "borgo-2013-gly", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "Kehrer-2008-hyp", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Kehrer-2010-mom", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "kehrer-2011-vai", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "kehrer-2012-mod", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "kehrer-2013-SBC", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "oeltze-2013-tut", "field_id": "lecturer", "ordernum": 2 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=983", "__class": "Author" } ], "date_from": "2014-01-07", "event": "TU München", "location": "Munich, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ { "id": "ViMaL", "workgroup_id": "vis", "drupal_id": 4222, "drupal_path": "/research/projects/ViMaL", "name": "ViMaL: A Visualization Mapping Language", "name_de": null, "short_title": "ViMaL", "website": null, "status": "active", "short_abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "start_date": "2010-01-01", "end_date": "2014-12-31", "leader_id": 166, "logo": { "name": "logo.png", "path": "project:ViMaL", "type": "image/png", "size": 51461, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 21695-N23", "comment": null } ], "research_areas": [], "publications": [ "beham-2014-cupid", "Birkeland-2012-IMC", "borgo-2013-gly", "bruckner-2010-HVC", "Csebfalvi-2012-IOM", "Groeller_2011_NR", "Herghelegiu-2012-BPV", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2014-CSD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mctalk", "mindek-thesis", "oeltze-2013-tut", "Peter_2012_AIV", "rautek2010", "Ropinski-2012-UBT", "schmidt-phd", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Soros_AVN_2011", "vaico", "ymca" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Kehrer-2014-CSD/", "__class": "Publication" }, { "id": "kehrer-2013-SBC", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "A Model for Structure-based Comparison of Many Categories in Small-Multiple Displays", "date": "2013-12", "abstract": "Many application domains deal with multi-variate data that consists of both categorical and numerical information. Small-multiple\ndisplays are a powerful concept for comparing such data by juxtaposition. For comparison by overlay or by explicit encoding\nof computed differences, however, a specification of references is necessary. In this paper, we present a formal model for defining\nsemantically meaningful comparisons between many categories in a small-multiple display. Based on pivotized data that are hierarchically\npartitioned by the categories assigned to the x and y axis of the display, we propose two alternatives for structure-based\ncomparison within this hierarchy. With an absolute reference specification, categories are compared to a fixed reference category.\nWith a relative reference specification, in contrast, a semantic ordering of the categories is considered when comparing them either to\nthe previous or subsequent category each. Both reference specifications can be defined at multiple levels of the hierarchy (including\naggregated summaries), enabling a multitude of useful comparisons. We demonstrate the general applicability of our model in several\napplication examples using different visualizations that compare data by overlay or explicit encoding of differences.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 759, "image_height": 903, "name": "kehrer-2013-SBC-image.jpg", "type": "image/jpeg", "size": 208520, "path": "Publication:kehrer-2013-SBC", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 983, "drupal_id": 629, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/JohannesKehrer", "firstname": "Johannes", "lastname": "Kehrer", "searchname": "Johannes Kehrer", "is_teacher": false, "name": "Johannes Kehrer", "publications": [ "beham-2014-cupid", "borgo-2013-gly", "daae-lampe-2010-dif", "Kehrer-2007-Mas", "Kehrer-2008-hyp", "Kehrer-2010-mom", "Kehrer-2011-PhD", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "Ladstaedter-2009-sim", "Ladstaedter-2010-exp", "lie-2009-cri", "Muigg-2008-four", "oeltze-2013-tut", "TR1862162" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Beham_Michael_PSC", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "borgo-2013-gly", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "Kehrer-2008-hyp", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Kehrer-2010-mom", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "kehrer-2011-vai", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "kehrer-2012-mod", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "kehrer-2013-SBC", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "oeltze-2013-tut", "field_id": "lecturer", "ordernum": 2 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=983", "__class": "Author" }, { "id": 451, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Harald", "lastname": "Piringer", "searchname": "Harald Piringer", "is_teacher": false, "name": "Harald Piringer", "publications": [ "Berger_2011_UAE", "Bittner-2004-CHC", "kehrer-2012-mod", "kehrer-2013-SBC", "Muigg-2008-four", "ortner-2016-tunnel", "ortner-2016-visaware", "PH-2011-LDS", "PIRINGER-2003-HBOQ", "piringer-2009-hds", "sorger-2015-litevis", "sorger-2015-taxintec" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "froschauer-2009-iod", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "ludwig-2012-MT", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Muehlbacher_diss_2018", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "Pajer_2012_VoM", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "piringer-2009-hds", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=451", "__class": "Author" }, { "id": 961, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Wolfgang", "lastname": "Berger", "searchname": "Wolfgang Berger", "is_teacher": false, "name": "Wolfgang Berger", "publications": [ "Berger_2011_UAE", "kehrer-2013-SBC" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Berger_2011_UAE", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=961", "__class": "Author" }, { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", "Bartroli-2003-Non", "beham-2014-cupid", "Berger_2011_UAE", "Berger-1998-Col", "Berger-2000-Col", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "burns-2007-fea", "Carata_2011_IVE", "Castro-1998-TFS", "Cornel_Daniel_2015_VOC", "cornel-2022-wih", "coto-2005-MAC", "Csebfalvi-1999-Fast", "Csebfalvi-1999-MIP", "Csebfalvi-2000-Fas", "Csebfalvi-2000-GELR", "Csebfalvi-2000-Gra", "Csebfalvi-2000-IVRBM", "Csebfalvi-2001-Fas", "Csebfalvi-2001-Int", "Csebfalvi-2001-NPVR", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "dataset-stagbeetle", "Dhanoa_2021", "dhanoa-2022-apm", "dhanoa-2025-dsg", "Diehl_2015", "Diehl_2021", "diehl-2013-VTA", "Diehl-2017-Albero", "Edi_2019_10_01", "eg-tut2005-iv", "eichner-2022-music", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "fernandez-2022-ergoexplorer", "fischel-1995-vis", "Fischel-1995-VLS", "Fischel-1997-CSVVP", "Fischel-1998-Cas", "fmistelbauer-2014-adict", "fritz-2009-ava", "Froehler_Berhnard_2015_ESM", "fuchs_vhml", "fuchs-2008-del", "Fuhr-1999-Multi", "Fuhrmann-1998-Rea", "fuhrmann-1998-reaX", "Furmanova_2018", "furmanova_2020", "furmanova-2024-bvp", "gall-2025-marv", "Gall2021", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu-2010-CIE", "Gillmann2021", "Glaeser-1997-EVG", "Glaeser-1998-AFa", "Glaeser-1998-Eff", "Glaeser-1999-Fas", "glanznig-2009-LAMC", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I1", "Groeller_2016_I2", "Groeller_2016_I3", "Groeller_2016_I4", "Groeller_2016_I5", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-1987-opt", "groeller-1988-duale", "groeller-1988-using", "groeller-1991-frac", "groeller-1991-temp", "groeller-1992-frac", "groeller-1992-fractals", "groeller-1992-fraktale", 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", "abstract": "Data and information created by various processes (e.g., simulations) is getting larger, and more and more complex. We use interactive visualization and analysis techniques to facilitate exploration of complex parameter spaces (e.g., to analyze and compare parameters for automotive engineering, reconstruction algorithms, or geometry generators) or unstructured information collections (e.g., annotated digital documents or image collections). Our research focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning.
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The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "start_date": "2010-01-01", "end_date": "2014-12-31", "leader_id": 166, "logo": { "name": "logo.png", "path": "project:ViMaL", "type": "image/png", "size": 51461, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 21695-N23", "comment": null } ], "research_areas": [], "publications": [ "beham-2014-cupid", "Birkeland-2012-IMC", "borgo-2013-gly", "bruckner-2010-HVC", "Csebfalvi-2012-IOM", "Groeller_2011_NR", "Herghelegiu-2012-BPV", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2014-CSD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mctalk", "mindek-thesis", "oeltze-2013-tut", "Peter_2012_AIV", "rautek2010", "Ropinski-2012-UBT", "schmidt-phd", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Soros_AVN_2011", "vaico", "ymca" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/", "__class": "Publication" }, { "id": "vaico", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "VAICo: Visual Analysis for Image Comparison", "date": "2013-12", "abstract": "Scientists, engineers, and analysts are confronted with ever larger and more complex sets of data, whose analysis poses special challenges. In many situations it is necessary to compare two or more datasets. Hence there is a need for comparative visualization tools to help analyze differences or similarities among datasets. In this paper an approach for comparative visualization for sets of images is presented. Well-established techniques for comparing images frequently place them side-by-side. A major drawback of such approaches is that they do not scale well. Other image comparison methods encode differences in images by abstract parameters like color. In this case information about the underlying image data gets lost. This paper introduces a new method for visualizing differences and similarities in large sets of images which preserves contextual information, but also allows the detailed analysis of subtle variations. Our approach identifies local changes and applies cluster analysis techniques to embed them in a hierarchy. The results of this process are then presented in an interactive web application which allows users to rapidly explore the space of differences and drill-down on particular features. We demonstrate the flexibility of our approach by applying it to multiple distinct domains.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 400, "image_height": 289, "name": "vaico-teaser.png", "type": "image/png", "size": 206295, "path": "Publication:vaico", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 950, "drupal_id": 292, "orcid_id": "0000-0002-9638-6344", "website": "https://www.cg.tuwien.ac.at/staff/JohannaSchmidt", "firstname": "Johanna", "lastname": "Schmidt", "searchname": "Johanna Schmidt", "is_teacher": false, "name": "Johanna Schmidt", 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http://www.cg.tuwien.ac.at/~jschmidt/vaico/", "number": "12", "pages_from": "2090", "pages_to": "2099", "volume": "19", "research_areas": [ { "id": "InfoVis", "drupal_id": 4128, "name": "Information Visualization and Visual Analytics", "short_abstract": "In this research area, our focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning. ", "abstract": "Data and information created by various processes (e.g., simulations) is getting larger, and more and more complex. We use interactive visualization and analysis techniques to facilitate exploration of complex parameter spaces (e.g., to analyze and compare parameters for automotive engineering, reconstruction algorithms, or geometry generators) or unstructured information collections (e.g., annotated digital documents or image collections). Our research focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning.
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not present in all images or change their color.", "filetitle": "results-puzzle", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1079, "image_height": 777, "name": "vaico-results-puzzle.png", "type": "image/png", "size": 998819, "path": "Publication:vaico", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-results-puzzle.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-results-puzzle:thumb{{size}}.png" }, { "description": "Dataset Satellite: Our approach identified the satellite image which shows damage caused by a tsunami on a coast-line in Indonesia.", "filetitle": "results-satellite", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 844, "image_height": 689, "name": "vaico-results-satellite.png", "type": "image/png", "size": 364908, "path": "Publication:vaico", "url": 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"video/x-msvideo", "size": 27666804, "path": "Publication:vaico", "preview_name": "vaico-video:preview.png", "preview_type": "image/png", "preview_size": 187664, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-video:video.mp4" } ], "projects_workgroups": [ { "id": "ViMaL", "workgroup_id": "vis", "drupal_id": 4222, "drupal_path": "/research/projects/ViMaL", "name": "ViMaL: A Visualization Mapping Language", "name_de": null, "short_title": "ViMaL", "website": null, "status": "active", "short_abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "start_date": "2010-01-01", "end_date": "2014-12-31", "leader_id": 166, "logo": { "name": "logo.png", "path": "project:ViMaL", "type": "image/png", "size": 51461, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 21695-N23", "comment": null } ], "research_areas": [], "publications": [ "beham-2014-cupid", "Birkeland-2012-IMC", "borgo-2013-gly", "bruckner-2010-HVC", "Csebfalvi-2012-IOM", "Groeller_2011_NR", "Herghelegiu-2012-BPV", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2014-CSD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mctalk", "mindek-thesis", "oeltze-2013-tut", "Peter_2012_AIV", "rautek2010", "Ropinski-2012-UBT", "schmidt-phd", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Soros_AVN_2011", "vaico", "ymca" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/", "__class": "Publication" }, { "id": "oeltze-2013-tut", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "IEEE VIS Tutorial on Interactive Visual Analysis of Scientific Data", "date": "2013-10", "abstract": "In a growing number of application areas, a subject or phenomenon is investigated by means of multiple datasets being acquired over time (spatiotemporal), comprising several attributes per data point\r\n(multi-variate), stemming from different data sources (multi-modal) or multiple simulation runs (multi-run/ensemble). Interactive visual analysis (IVA) comprises concepts and techniques for a user-guided knowledge discovery in such complex data. Through a tight feedback loop of computation,\r\nvisualization and user interaction, it provides new insight into the data and serves as a vehicle for\r\nhypotheses generation or validation. It is often implemented via a multiple coordinated view framework where each view is equipped with interactive drill-down operations for focusing on data features.\r\nTwo classes of views are integrated:\r\nphysical views, such as direct volume rendering, show information in the context of the spatiotemporal observation space while\r\nattribute views, such as scatter\r\nplots and parallel coordinates, show relationships between multiple data attributes. The user may drill-down the data by selecting interesting regions of the observation space or attribute ranges leading to\r\na consistent highlighting of this selection in all other views (brushing-and-linking). Three patterns of\r\nexplorative/analytical procedures may be accomplished by doing so. In a\r\nfeature localization, the user\r\nsearches for places in the 3D/4D observation space where certain attribute values are present. In a\r\nmulti-variate analysis, relations between data attributes are investigated, e.g., by searching for correla-\r\ntions. In a local investigation, the user inspects the values of selected attributes with respect to certain\r\nspatiotemporal subsets of the observation space.\r\n\r\nIn this tutorial, we discuss examples for successful applications of IVA to scientific data from various\r\nfields: climate research, medicine, epidemiology, and flow simulation / computation, in particular for\r\nautomotive engineering. We base our discussions on a theoretical foundation of IVA which helps the\r\ntutorial attendees in transferring the subject matter to their own data and application area. In the course\r\nof the tutorial, the attendees will become acquainted with techniques from statistics and knowledge\r\ndiscovery, which proved to be particularly useful for a specific IVA application. The tutorial further\r\ncomprises an overview of off-the-shelf IVA solutions, which may be be particularly interesting for\r\nvisualization practitioners. 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The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. 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Its major strength is that patterns of multivariate data involving more than two attribute dimensions can often be more readily perceived in the context of a spatial relationship, whereas many techniques for spatial data such as direct volume rendering find difficult to depict with multivariate or multi-field data, and many techniques for non-spatial data such as parallel coordinates are less able to convey spatial relationships encoded in the data. 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The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. 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By localizing particular features, they can be analyzed and compared in different views. However, the semantics of such selections are often dependent on other parameter settings and it can be difficult to reconstruct them without additional information. In this paper, we present the concept of contextual snapshots as an effective means for managing spatial selections in visualized data. The selections are automatically associated with the context in which they have been created. Contextual snapshots can be also used as the basis for interactive integrated and linked views, which enable in-place investigation and comparison of multiple visual representations of data. Our approach is implemented as a flexible toolkit with welldefined interfaces for integration into existing systems. 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The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "start_date": "2010-01-01", "end_date": "2014-12-31", "leader_id": 166, "logo": { "name": "logo.png", "path": "project:ViMaL", "type": "image/png", "size": 51461, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 21695-N23", "comment": null } ], "research_areas": [], "publications": [ "beham-2014-cupid", "Birkeland-2012-IMC", "borgo-2013-gly", "bruckner-2010-HVC", "Csebfalvi-2012-IOM", "Groeller_2011_NR", "Herghelegiu-2012-BPV", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2014-CSD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mctalk", "mindek-thesis", "oeltze-2013-tut", "Peter_2012_AIV", "rautek2010", "Ropinski-2012-UBT", "schmidt-phd", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Soros_AVN_2011", "vaico", "ymca" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-cs_cvut/", "__class": "Publication" }, { "id": "mindek-2013-pel", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual Parameter Exploration in GPU Shader Space", "date": "2013", "abstract": "The wide availability of high-performance GPUs has made the use of shader programs in visualization ubiquitous.\r\nUnderstanding shaders is a challenging task. Frequently it is dif?cult to mentally reconstruct the nature and types\r\nof transformations applied to the underlying data during the visualization process. We propose a method for the\r\nvisual analysis of GPU shaders, which allows the ?exible exploration and investigation of algorithms, parameters,\r\nand their effects. We introduce a method for extracting feature vectors composed of several attributes of the shader,\r\nas well as a direct manipulation interface for assigning semantics to them. The user interactively classi?es pixels of\r\nimages which are rendered with the investigated shader. The two resulting classes, a positive class and a negative\r\none, are employed to steer the visualization. Based on this information, we can extract a wide variety of additional\r\nattributes and visualize their relation to this classi?cation. Our system allows an interactive exploration of shader\r\nspace and we demonstrate its utility for several different applications.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 300, "name": "mindek-2013-pel-.png", "type": "image/png", "size": 124628, "path": "Publication:mindek-2013-pel", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 935, "drupal_id": 45, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/PeterMindek", "firstname": "Peter", "lastname": "Mindek", "searchname": "Peter Mindek", "is_teacher": 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0 }, { "publ_id": "schwankl-2013-smis", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "travnicek-2017-thm", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "travnicek-2017-thm", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "zauner-2013-svkinect", "field_id": "supervisor", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=935", "__class": "Author" }, { "id": 161, "drupal_id": 315, "orcid_id": "0000-0002-0885-8402", "website": "https://www.cg.tuwien.ac.at/staff/StefanBruckner", "firstname": "Stefan", "lastname": "Bruckner", "searchname": "Stefan Bruckner", "is_teacher": true, "name": "Stefan Bruckner", "publications": [ "amirkhanov_2012heur", "Auzinger_Mistelbauer_2013_CSR", "Birkeland-2012-IMC", "brucker-2010-RES", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2004-EVV", "bruckner-2005-AIV", "bruckner-2005-ATI", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "bruckner-2010-ISM", "bruckner-2010-SES", "Bruckner-2012-VEA", "coto-2005-MAC", "Csebfalvi-2012-IOM", "Diehl_2015", "Diehl_2021", "diehl-2013-VTA", "Diehl-2017-Albero", "eichner-2022-music", "facial2004", "Ford-2012-HRV", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "grimm-2004-volume", "Groeller_2014_UPS", "Groeller_Eduard_2014_THS", "haidacher_2010_statTF", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-VAM", "Herghelegiu-2012-BPV", "karimov-2013-vivisection", "karimov-2015-HD", "klein-2016-WCL", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "Kolesar-Fractional-2016", "kolesar-ivan-2014-polymers", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2015-mc", "mindek-2017-dsn", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "patel-2010-SVV", "patel-2011-PEA", "Rautek_Peter_2014_VSA", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-VF", "RAUTEK06", "Ropinski-2012-UBT", "ruiz-2008-OVR", "ruiz-2008-SEV", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev-2010-DFC", "solteszova-2010-MOS", "Solteszova2016", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-08-01", "TR-186-2-08-04", "TR-186-2-08-10", "TR-186-2-08-14", "TR-186-2-15-03", "TR1862162", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "vaico", "Viola_Ivan_CLD", "Viola_Ivan_IIP", "Viola_Ivan_VDP", "viola-popular-article-2006", "VisWeek-Tutorial-2012-Uncertainty", "waldner-2014-ghi", "xmas-2004", "xmastree2005", "ymca" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "brucker-2010-RES", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Bruckner_Stefan_2015_VAS", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2005-ICV", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2005-vid", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2006-EVV", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2007-EDF", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2007-STF", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2008-IVV", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2009-BVQ", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2009-IVV", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2010-ISM", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2010-SES", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "emsenhuber-2008-vhd", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Groeller_2016_P4", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "karimov-2016-GIVE", "field_id": "reviewer_1", "ordernum": 0 }, { "publ_id": "kuehschelm-2005-adv", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Lackner_2022", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "mindek-thesis", "field_id": "reviewer_1", "ordernum": 0 }, { "publ_id": "mindek-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Mistelbauer_Gabriel_2016", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Nowak_2020", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "puehringer-2009-sbm", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "rraidou_EG17", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "schmidt-phd", "field_id": "reviewer_2", "ordernum": 0 }, { "publ_id": "Solteszova-2009-VQN", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "spoerk-2010-hpgpu", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "VisWeek-Tutorial-2012-Uncertainty", "field_id": "lecturer", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=161", "__class": "Author" }, { "id": 488, "drupal_id": 334, "orcid_id": "0000-0003-4821-7404", "website": "https://www.cg.tuwien.ac.at/staff/PeterRautek", "firstname": "Peter", "lastname": "Rautek", "searchname": "Peter Rautek", "is_teacher": false, "name": "Peter Rautek", "publications": [ "bruckner-2010-HVC", "klein-2016-WCL", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek-2013-pel", "Peter_2012_AIV", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2006", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev-2010-DFC", "sorger_2017_metamorphers", "Soros_AVN_2011", "TR-186-2-05-03", "TR-186-2-06-01", "TR-186-2-07-05", "TR-186-2-07-10", "Vad_Viktor_2015_RVV", "Waldin_Nicholas_2016_Individualization" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Basch_2011_ATA", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "BirsakHanzl-2009", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Brandorff-08-OV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "brandorff-2009-erv", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Fruehstueck_Anna_2015_DOM", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "hanzl-2011", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Klein_Tobias_2015TIV", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Labschuetz_Matthias_2016_AHD", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Marek06", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Pramerdorfer-2011-PAV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Rautek-2007-SLI", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Rautek-2008-IDS", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "RAUTEK06", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Rautek06Vis", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "rautek2010", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "sollboeck-2011", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Soros-AV-2010", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "StickmanMax-shoetta-kampfer", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=488", "__class": "Author" }, { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", "Bartroli-2003-Non", "beham-2014-cupid", "Berger_2011_UAE", "Berger-1998-Col", "Berger-2000-Col", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", 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The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. 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We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. 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The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "start_date": "2010-01-01", "end_date": "2014-12-31", "leader_id": 166, "logo": { "name": "logo.png", "path": "project:ViMaL", "type": "image/png", "size": 51461, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 21695-N23", "comment": null } ], "research_areas": [], "publications": [ "beham-2014-cupid", "Birkeland-2012-IMC", "borgo-2013-gly", "bruckner-2010-HVC", "Csebfalvi-2012-IOM", "Groeller_2011_NR", "Herghelegiu-2012-BPV", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2014-CSD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mctalk", "mindek-thesis", "oeltze-2013-tut", "Peter_2012_AIV", "rautek2010", "Ropinski-2012-UBT", "schmidt-phd", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Soros_AVN_2011", "vaico", "ymca" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ropinski-2012-UBT/", "__class": "Publication" }, { "id": "Csebfalvi-2012-IOM", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Illumination-Driven Opacity Modulation for Expressive Volume Rendering", "date": "2012-11", "abstract": "Using classical volume visualization, typically a couple of isosurface layers are rendered semi-transparently to show the internal structures contained in the data. However, the opacity transfer function is often difficult to specify such that all the isosurfaces are of high contrast and sufficiently perceivable. In this paper, we propose a volumerendering technique which ensures that the different layers contribute to fairly different regions of the image space. Since the overlapping between the effected regions is reduced, an outer translucent isosurface does not decrease significantly the contrast of a partially hidden inner isosurface. Therefore, the layers of the data become visually well separated. Traditional transfer functions assign color and opacity values to the voxels depending on the density and the gradient. In contrast, we assign also different illumination directions to different materials, and modulate the opacities view-dependently based on the surface normals and the directions of the light sources, which are fixed to the viewing angle. We will demonstrate that this model allows an expressive visualization of volumetric data.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Teaser image", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1000, "image_height": 1000, "name": "Csebfalvi-2012-IOM-Teaser.jpg", "type": "image/jpeg", "size": 79594, "path": "Publication:Csebfalvi-2012-IOM", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 233, "drupal_id": 337, "orcid_id": "0000-0003-4843-226X", "website": "https://www.cg.tuwien.ac.at/staff/BalázsCsébfalvi", "firstname": "Balázs", "lastname": "Csébfalvi", 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"bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "bruckner-2010-ISM", "bruckner-2010-SES", "Bruckner-2012-VEA", "coto-2005-MAC", "Csebfalvi-2012-IOM", "Diehl_2015", "Diehl_2021", "diehl-2013-VTA", "Diehl-2017-Albero", "eichner-2022-music", "facial2004", "Ford-2012-HRV", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "grimm-2004-volume", "Groeller_2014_UPS", "Groeller_Eduard_2014_THS", "haidacher_2010_statTF", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-VAM", "Herghelegiu-2012-BPV", "karimov-2013-vivisection", "karimov-2015-HD", "klein-2016-WCL", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "Kolesar-Fractional-2016", "kolesar-ivan-2014-polymers", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2015-mc", "mindek-2017-dsn", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "patel-2010-SVV", "patel-2011-PEA", "Rautek_Peter_2014_VSA", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-VF", "RAUTEK06", "Ropinski-2012-UBT", "ruiz-2008-OVR", "ruiz-2008-SEV", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev-2010-DFC", "solteszova-2010-MOS", "Solteszova2016", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-08-01", "TR-186-2-08-04", "TR-186-2-08-10", "TR-186-2-08-14", "TR-186-2-15-03", "TR1862162", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "vaico", "Viola_Ivan_CLD", "Viola_Ivan_IIP", "Viola_Ivan_VDP", 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}, { "publ_id": "Solteszova-2009-VQN", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "spoerk-2010-hpgpu", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "VisWeek-Tutorial-2012-Uncertainty", "field_id": "lecturer", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=161", "__class": "Author" }, { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", 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The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "start_date": "2010-01-01", "end_date": "2014-12-31", "leader_id": 166, "logo": { "name": "logo.png", "path": "project:ViMaL", "type": "image/png", "size": 51461, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 21695-N23", "comment": null } ], "research_areas": [], "publications": [ "beham-2014-cupid", "Birkeland-2012-IMC", "borgo-2013-gly", "bruckner-2010-HVC", "Csebfalvi-2012-IOM", "Groeller_2011_NR", "Herghelegiu-2012-BPV", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2014-CSD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mctalk", "mindek-thesis", "oeltze-2013-tut", "Peter_2012_AIV", "rautek2010", "Ropinski-2012-UBT", "schmidt-phd", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Soros_AVN_2011", "vaico", "ymca" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/", "__class": "Publication" }, { "id": "Herghelegiu-2012-BPV", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Biopsy Planner - Visual Analysis for Needle Pathway Planning in Deep Seated Brain Tumor Biopsy", "date": "2012-06", "abstract": "Biopsies involve taking samples from living tissue using a biopsy needle. In current clinical practice they are a first\r\nmandatory step before any further medical actions are planned. Performing a biopsy on a deep seated brain tumor\r\nrequires considerable time for establishing and validating the desired biopsy needle pathway to avoid damage.\r\nIn this paper, we present a system for the visualization, analysis, and validation of biopsy needle pathways. Our\r\nsystem uses a multi-level approach for identifying stable needle placements which minimize the risk of hitting\r\nblood vessels. This is one of the major dangers in this type of intervention. Our approach helps in identifying and\r\nvisualizing the point on the pathway that is closest to a surrounding blood vessel, requiring a closer inspection by\r\nthe neurosurgeon. An evaluation by medical experts is performed to demonstrate the utility of our system.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 512, "image_height": 512, "name": "Herghelegiu-2012-BPV-Teaser.jpg", "type": "image/jpeg", "size": 46706, "path": "Publication:Herghelegiu-2012-BPV", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 903, "drupal_id": 204, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/PaulHerghelegiu", "firstname": "Paul", "lastname": "Herghelegiu", "searchname": "Paul Herghelegiu", "is_teacher": false, "name": "Paul Herghelegiu", "publications": [ "Groeller_2011_NSM", "Herghelegiu-2012-BPV" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Groeller_2011_NSM", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Herghelegiu-2012-BPV", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=903", "__class": "Author" }, { "id": 850, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Vasile", "lastname": "Manta", "searchname": "Vasile Manta", "is_teacher": false, "name": "Vasile Manta", "publications": [ "gavrilescu-2009-postrend", "Groeller_2011_GBC", "Groeller_2011_NSM", "Herghelegiu-2012-BPV" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Gavrilescu_2011_VGP", "field_id": "reviewer_1", "ordernum": 0 }, { "publ_id": "Gavrilescu_2011_VGP", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "gavrilescu-2008-vsc", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=850", "__class": "Author" }, { "id": 1006, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Radu", "lastname": "Perin", "searchname": "Radu Perin", "is_teacher": false, "name": "Radu Perin", "publications": [ "Herghelegiu-2012-BPV" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1006", "__class": "Author" }, { "id": 161, "drupal_id": 315, "orcid_id": "0000-0002-0885-8402", "website": "https://www.cg.tuwien.ac.at/staff/StefanBruckner", "firstname": "Stefan", "lastname": "Bruckner", "searchname": "Stefan Bruckner", "is_teacher": true, "name": "Stefan Bruckner", "publications": [ "amirkhanov_2012heur", "Auzinger_Mistelbauer_2013_CSR", "Birkeland-2012-IMC", "brucker-2010-RES", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2004-EVV", "bruckner-2005-AIV", "bruckner-2005-ATI", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "bruckner-2010-ISM", "bruckner-2010-SES", "Bruckner-2012-VEA", "coto-2005-MAC", "Csebfalvi-2012-IOM", "Diehl_2015", "Diehl_2021", "diehl-2013-VTA", "Diehl-2017-Albero", "eichner-2022-music", "facial2004", "Ford-2012-HRV", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "grimm-2004-volume", "Groeller_2014_UPS", "Groeller_Eduard_2014_THS", "haidacher_2010_statTF", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-VAM", "Herghelegiu-2012-BPV", "karimov-2013-vivisection", "karimov-2015-HD", "klein-2016-WCL", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "Kolesar-Fractional-2016", "kolesar-ivan-2014-polymers", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2015-mc", "mindek-2017-dsn", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "patel-2010-SVV", "patel-2011-PEA", "Rautek_Peter_2014_VSA", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-VF", "RAUTEK06", "Ropinski-2012-UBT", "ruiz-2008-OVR", "ruiz-2008-SEV", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev-2010-DFC", "solteszova-2010-MOS", "Solteszova2016", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-08-01", "TR-186-2-08-04", "TR-186-2-08-10", "TR-186-2-08-14", "TR-186-2-15-03", "TR1862162", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "vaico", "Viola_Ivan_CLD", "Viola_Ivan_IIP", "Viola_Ivan_VDP", "viola-popular-article-2006", "VisWeek-Tutorial-2012-Uncertainty", "waldner-2014-ghi", "xmas-2004", "xmastree2005", "ymca" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "brucker-2010-RES", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Bruckner_Stefan_2015_VAS", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2005-ICV", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2005-vid", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2006-EVV", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2007-EDF", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2007-STF", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2008-IVV", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2009-BVQ", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2009-IVV", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2010-ISM", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bruckner-2010-SES", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "emsenhuber-2008-vhd", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Groeller_2016_P4", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "karimov-2016-GIVE", "field_id": "reviewer_1", "ordernum": 0 }, { "publ_id": "kuehschelm-2005-adv", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Lackner_2022", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "mindek-thesis", "field_id": "reviewer_1", "ordernum": 0 }, { "publ_id": "mindek-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Mistelbauer_Gabriel_2016", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Nowak_2020", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "puehringer-2009-sbm", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "rraidou_EG17", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "schmidt-phd", "field_id": "reviewer_2", "ordernum": 0 }, { "publ_id": "Solteszova-2009-VQN", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "spoerk-2010-hpgpu", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "VisWeek-Tutorial-2012-Uncertainty", "field_id": "lecturer", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=161", "__class": "Author" }, { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", "Bartroli-2003-Non", "beham-2014-cupid", "Berger_2011_UAE", "Berger-1998-Col", "Berger-2000-Col", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "burns-2007-fea", "Carata_2011_IVE", "Castro-1998-TFS", "Cornel_Daniel_2015_VOC", "cornel-2022-wih", "coto-2005-MAC", "Csebfalvi-1999-Fast", "Csebfalvi-1999-MIP", "Csebfalvi-2000-Fas", "Csebfalvi-2000-GELR", "Csebfalvi-2000-Gra", "Csebfalvi-2000-IVRBM", "Csebfalvi-2001-Fas", "Csebfalvi-2001-Int", "Csebfalvi-2001-NPVR", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "dataset-stagbeetle", "Dhanoa_2021", "dhanoa-2022-apm", "dhanoa-2025-dsg", "Diehl_2015", "Diehl_2021", "diehl-2013-VTA", "Diehl-2017-Albero", "Edi_2019_10_01", "eg-tut2005-iv", "eichner-2022-music", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "fernandez-2022-ergoexplorer", "fischel-1995-vis", "Fischel-1995-VLS", "Fischel-1997-CSVVP", "Fischel-1998-Cas", "fmistelbauer-2014-adict", "fritz-2009-ava", "Froehler_Berhnard_2015_ESM", "fuchs_vhml", "fuchs-2008-del", "Fuhr-1999-Multi", "Fuhrmann-1998-Rea", "fuhrmann-1998-reaX", "Furmanova_2018", "furmanova_2020", "furmanova-2024-bvp", "gall-2025-marv", "Gall2021", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu-2010-CIE", "Gillmann2021", "Glaeser-1997-EVG", "Glaeser-1998-AFa", "Glaeser-1998-Eff", "Glaeser-1999-Fas", "glanznig-2009-LAMC", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I1", "Groeller_2016_I2", "Groeller_2016_I3", "Groeller_2016_I4", "Groeller_2016_I5", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-1987-opt", "groeller-1988-duale", "groeller-1988-using", "groeller-1991-frac", "groeller-1991-temp", "groeller-1992-frac", "groeller-1992-fractals", "groeller-1992-fraktale", "groeller-1992-vis", "groeller-1993-acc", "groeller-1993-cha", "groeller-1993-coh", "groeller-1993-coh1", "groeller-1993-daten", "groeller-1993-dist", "groeller-1993-disto", "groeller-1993-eff", "groeller-1993-exp", "groeller-1993-frak", "groeller-1993-grund", "groeller-1993-oct", "Groeller-1994-AIV", "groeller-1994-appl", "Groeller-1994-AVT", "groeller-1994-coh", "Groeller-1994-CSA", "groeller-1994-ext", "Groeller-1994-HIS", "groeller-1994-hyper", "Groeller-1994-IDN", "groeller-1994-int", "Groeller-1994-ITV", "groeller-1994-mod", "Groeller-1994-MRN", "groeller-1994-tech", "groeller-1994-vis", "groeller-1995-appl", "groeller-1995-attract", "Groeller-1995-CCG", "groeller-1995-dyn", "Groeller-1995-GOW", "Groeller-1995-IED", "groeller-1995-inter", "groeller-1995-lok", "groeller-1995-mod", "groeller-1995-non", "Groeller-1995-SDC", "groeller-1995-vis", "groeller-1996-ACE", "groeller-1996-avn", "Groeller-1998-TunVis", "Groeller-1998-VAD", "Groeller-1998-VDS", "Groeller-1999-Dat", "Groeller-1999-Vis", "Groeller-2000-Vis", "Groeller-2001-IDV", "groeller-2002-anw", "Groeller-2002-Ins", "groeller-2002-med", "groeller-2002-wiss", "groeller-2003-fea", "groeller-2003-med", "groeller-2003-scie", "groeller-2003-vol", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-abs", "groeller-2005-dia", "groeller-2005-foc", "groeller-2005-imp", "groeller-2005-impo", "groeller-2005-proc", "groeller-2005-sma", "groeller-2005-smar", "groeller-2005-volg", "groeller-2006-cgf", "groeller-2006-civ", "groeller-2006-ivt", "groeller-2006-tvcg", "groeller-2007-csu", "groeller-2007-fci", "groeller-2007-mva", "groeller-2007-vis", "groeller-2007-visII", "groeller-2007-vws", "groeller-2008-att2", "groeller-2008-How", "groeller-2008-hsp", "groeller-2008-irs", "groeller-2008-kav2", "groeller-2008-kav3", "groeller-2008-kav4", "groeller-2008-lsy", "Groeller-2010-CVC", "groeller-2010-How", "Groeller-2010-IFI", "Groeller-2010-IVVI", "groeller-2010-PTT", "Groeller-2011-HSH", "Groeller-2017-AMOS", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "groeller-2022-iva", "groeller-2022-iva-1", "groeller-2022-ivd", "groeller-2023-ivd", "groeller-2023-siv", "groeller-2023-siv-1", "groeller-2023-siv-2", "groeller-2023-tfo", "groeller-2024-cui", "groeller-cvc-2009", "groeller-scv-2009", 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The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "start_date": "2010-01-01", "end_date": "2014-12-31", "leader_id": 166, "logo": { "name": "logo.png", "path": "project:ViMaL", "type": "image/png", "size": 51461, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 21695-N23", "comment": null } ], "research_areas": [], "publications": [ "beham-2014-cupid", "Birkeland-2012-IMC", "borgo-2013-gly", "bruckner-2010-HVC", "Csebfalvi-2012-IOM", "Groeller_2011_NR", "Herghelegiu-2012-BPV", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2014-CSD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mctalk", "mindek-thesis", "oeltze-2013-tut", "Peter_2012_AIV", "rautek2010", "Ropinski-2012-UBT", "schmidt-phd", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Soros_AVN_2011", "vaico", "ymca" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/", "__class": "Publication" }, { "id": "Birkeland-2012-IMC", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Illustrative Membrane Clipping", "date": "2012-06", "abstract": "Clipping is a fast, common technique for resolving occlusions. It only requires simple interaction, is easily understandable,\nand thus has been very popular for volume exploration. However, a drawback of clipping is that the\ntechnique indiscriminately cuts through features. Illustrators, for example, consider the structures in the vicinity\nof the cut when visualizing complex spatial data and make sure that smaller structures near the clipping plane are\nkept in the image and not cut into fragments. In this paper we present a new technique, which combines the simple\nclipping interaction with automated selective feature preservation using an elastic membrane. In order to prevent\ncutting objects near the clipping plane, the deformable membrane uses underlying data properties to adjust itself\nto salient structures. To achieve this behaviour, we translate data attributes into a potential field which acts on the\nmembrane, thus moving the problem of deformation into the soft-body dynamics domain. This allows us to exploit\nexisting GPU-based physics libraries which achieve interactive frame rates. For manual adjustment, the user can\ninsert additional potential fields, as well as pinning the membrane to interesting areas. We demonstrate that our\nmethod can act as a flexible and non-invasive replacement of traditional clipping planes.", "authors_et_al": false, "substitute": null, "main_image": { "description": "The hippocampus in a mouse brain imaged using ultramicroscopy", "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1027, "image_height": 609, "name": "Birkeland-2012-IMC-Teaser.jpg", "type": "image/jpeg", "size": 187433, "path": "Publication:Birkeland-2012-IMC", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 1007, "drupal_id": 633, "orcid_id": null, "website": 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"research_areas": [ { "id": "IllVis", "drupal_id": 4131, "name": "Illustrative Visualization", "short_abstract": "In this research area, we develop rendering methods that are inspired by scientific illustrations, in order to make complex biological information more intuitive to understand and more pleasant to read.", "abstract": "Scientific illustration is concerned with researching ways in which complex biological and medical data can be abstracted in order to convey a desired information that would otherwise be impossible or hard to retrieve from the original data. Illustrators apply such techniques, for instance, to present non-important parts of an organ in a simplified way, while using detailed representations to put the focus of attention on a region where a tumor might be situated.\n\nTo identify such meaningful visual abstractions for visualization, their effectiveness for human perception and cognition has to be assessed, and they have to be formalized in order to make them applicable in rendering algorithms. In this project, we try to advance the understanding of procedural visual abstraction of complex physiological processes that describe the complex machinery of biological life.", "website": "https://www.cg.tuwien.ac.at/research/area/IllVis", "teaser": { "name": "teaser.jpg", "path": "research_area:IllVis", "type": "image/jpeg", "size": 34861, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/IllVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "2017-kouril-illcell", "Alharbi_2021", "Antonini2020", "Balabanian-2010-IIV", "Balduz_01", "Bayat_2019", "Bechtold2020", "Birkeland-2012-IMC", "brandstaetter_01", "bruckner-2005-ICV", "bruckner-2006-ICE", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2010-HVC", "bruckner-2010-IFC", "cellVIEW_2015", "Chen-Information-2016", "Deutsch-2018", "Dhanoa_2021", "Dhanoa2024", "dietrich-2016-viseq2", "donabauer_2019_1", "eg-tut2005-iv", "eschner-2023-ims", "Essler2022", "gangl-2018-gpsart", "Gehrer_Daniel_CUI", "Gehrer-2017-molmach", "gerl-2006-vhi", "Gogel2020", "Groeller_2011_IPV", "Groeller_2016_I3", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_V1_2020", "groeller-2006-ivt", "groeller-2007-fci", "groeller-2008-irs", "Groeller-2010-IFI", "gruber-2025-vps", "Halladjian_2020", "haushofer-2018-skinning", "Heim_2020", "horvath-2018-ism", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "kloos-2026-icv", "Knapp_2017_CVR", "Koeppel2020", "kolesar-ivan-2014-polymers", "Konev-FCV2018", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "kroesl_x_card_2017", "Lackner_2022", "Langer_Edith_IR1", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "Leutschacher_2022", "ludwig-2012-MT", "Manczarski-2016", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "Melo_2018_11", "Meusburger_2020", "Miao_2019", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_stateKeylabTalk_2017", "miao2018Dimsum", "Michl_2017_CSV", "mindek-2015-mc", "mindek-2016-utah-talk", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-xmas-card-2016", "Moellinger_Christian_IDE2", "Niedermayer_2018", "Ortner_PhD", "Ortner2020", "pahr-2021-vologram", "Panayotov", "patel_daniel_2007_IRSD", "Pauschenwein_2022", "Peter_2012_AIV", "plank-2017-sldg", "prost-2016-molecule", "purgathofer-2008-cgi", "Radwan-2017-Occ", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-VF", "Reichinger_2016", "Reichinger_Fuhrmann_2016", "Reisacher_Matthias_CPW", "Reisacher2016", "Riegelnegg_2019", "rippl-2023-atg", "sbardellati_ba_2018", "Sbardellati-2019-vcbm", "schindler_2020vis", "schmidlehner2021", "scholz_2021", "Schrempf_2020", "SCHUETZ-2026-CURAST", "schultes_lampi", "seyfert-2017", "sikachev-2010-ill_vis_vol_ren", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "Spechtenhauser_Florian_2016", "stappen_2017_animatedcomic", "Stoll2020", "sturl_2016_dynlabels", "Swoboda2020", "szabo_patrik-2022-tour", "takahashi-2019-acdt", "Thomas-2018", "TR-186-2-07-08", "Troidl_2021", "Troidl_2022", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "Unger2020", "Vasileva_2022", "Viola_Ivan_2013_SVA", "Viola_Ivan_CLD", "Viola_Ivan_IIP", "viola-evr", "Viola-Pondering-2017", "Viola-vistutillustrativevis", "Waldin_Nicholas_2016_Colormaps", "waldin-2019-ccm", "Waldner_2017_11", "Wihann_2017", "Woschizka_2021", "wu-2019-bmc", "wu-2019-report", "Zaufel_2021", "zechmeister2020", "Zeng_2021", "Zusag-2017-Bach" ], "projects": [ "Illustrare", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=IllVis", "__class": "ResearchArea" }, { "id": "MedVis", "drupal_id": 4133, "name": "Medical Visualization", "short_abstract": "This research area bridges the gap between visualization and medicine by providing comprehensible visual means to detect diseased regions or to aid clinical treatment decisions.", "abstract": "In collaboration with hospitals we try to investigate various topics in medicine by means of visualization or visual analytics. Due to the increasing amount of data generated by hospital information systems, visualization becomes successively more important. Extracting certain trends from such highly diverse data by suitable visual mappings is one of the primary goals of medical visualization. The data is usually acquired by computed tomography, magnetic resonance imaging or ultrasound.\n\nCurrently, our research addresses the analysis of blood vessels such as the inspection of possible stenotic regions or their spatial arrangement as in the Circle of Willis. Furthermore, we investigate aneurysm classification and lesion detection as well as visualization. Another research area deals with realistic prenatal visualization of the fetus in-vivo and in real-time. Due to the high variability of medical imaging data, we further focus on high-level correction of segmentation defects.", "website": "https://www.cg.tuwien.ac.at/research/area/MedVis", "teaser": { "name": "teaser.png", "path": "research_area:MedVis", "type": "image/png", "size": 225330, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/MedVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "amabili2021", "amirkhanov-2018-withteeth", "amirkhanov-2021-diss", "antes-2023-vhv", "arbesser_ba_2023", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2008-hvv", "Balabanian-2010-IIV", "Bauer_David_2018", "bayat-2022-mva", "Bernold_2019", "bernold-2019-epr", "Birkeland-2012-IMC", "borondy2022", "bront-2023-svo", "bruckner-2010-HVC", "burns-2007-fea", "Chen-Information-2016", "djuric-2020-wvo", "Eckelt_2017", "Eichner2022", "EuroVis2018-ShortPapers-Karall", "fmistelbauer-2014-adict", "Ford-2012-HRV", "furmanova_2020", "Gadllah_Hani_2016", "Gall_2017", "gall_alexander_2016BA", "ganglberger2019", "Gietl_2020", "Gillmann2021", "Groeller_2016_P4", "Groeller_V42020", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "gutekunst_2019", "Hainoun2019", "Heim-2017", "Ismail-2018", "jank-2022-cbf", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "Kovacs_PhD", "Machegger2018DTI", "magg-2021-dva", "magg2021", "magg2022", "malan_fluoro", "martorell2022", "Masopust_2018", "Mazza_2020", "Miao_2015_VCBM", "miao_2016_cgf", "Miao_Haichao_2015_VQC", "miao_stateKeylabTalk_2017", "miao_thesis_2019", "miao_tvcg_2017", "mindek-2017-dsn", "Mistelbauer_2021", "Mistelbauer_Gabriel_2016", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "moerth_eric-2016-3DF", "moerth-2018-tpose", "Musleh_PhD", "musleh-2023-ugi", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "PERNDORFER-2015-ECS", "Pezenka-2016-MT", "Philipp_Hochhauser_2023", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_bestphd", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_visgap2020", "raidou2018visualflatter", "Reiter2017CVAP", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "ruiz-2008-OVR", "ruiz-2008-SEV", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "Schmidlehner_Sandra_SbC", "Schrempf_2018", "schultes_lampi", "SifuentesGangl2017FIS", "solteszova-2010-MOS", "Solteszova2016", "Spelitz2020", "stritzel2022", "Stritzel2022_thesis", "Tramberger_2018", "Tramberger2017BCS", "unger_2017", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_HQ3", "Viola_Ivan_DAC", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "vitruvian_2019", "vogel2022", "Weissenboeck_2019_PhD" ], "projects": [ "d9951", "Smile Analytics" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=MedVis", "__class": "ResearchArea" } ], "keywords": [ "illustrative visualization", "volume rendering", "clipping" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2012.03083.x/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Birkeland-2012-IMC-Paper.pdf", "type": "application/pdf", "size": 21540990, "path": "Publication:Birkeland-2012-IMC", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Paper:thumb{{size}}.png" }, { "description": "The hippocampus in a mouse brain imaged using ultramicroscopy", "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1027, "image_height": 609, "name": "Birkeland-2012-IMC-Teaser.jpg", "type": "image/jpeg", "size": 187433, "path": "Publication:Birkeland-2012-IMC", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser:thumb{{size}}.png" }, { "description": "Video Demonstration", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 800, "preview_image_height": 600, "name": "Birkeland-2012-IMC-Video.wmv", "type": "text/plain", "size": 26372220, "path": "Publication:Birkeland-2012-IMC", "preview_name": "Birkeland-2012-IMC-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 15856, "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Video.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Video:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "ViMaL", "workgroup_id": "vis", "drupal_id": 4222, "drupal_path": "/research/projects/ViMaL", "name": "ViMaL: A Visualization Mapping Language", "name_de": null, "short_title": "ViMaL", "website": null, "status": "active", "short_abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "start_date": "2010-01-01", "end_date": "2014-12-31", "leader_id": 166, "logo": { "name": "logo.png", "path": "project:ViMaL", "type": "image/png", "size": 51461, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 21695-N23", "comment": null } ], "research_areas": [], "publications": [ "beham-2014-cupid", "Birkeland-2012-IMC", "borgo-2013-gly", "bruckner-2010-HVC", "Csebfalvi-2012-IOM", "Groeller_2011_NR", "Herghelegiu-2012-BPV", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2014-CSD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mctalk", "mindek-thesis", "oeltze-2013-tut", "Peter_2012_AIV", "rautek2010", "Ropinski-2012-UBT", "schmidt-phd", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Soros_AVN_2011", "vaico", "ymca" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/", "__class": "Publication" }, { "id": "Peter_2012_AIV", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Semantics by Analogy for Illustrative Volume Visualization", "date": "2012-05", "abstract": "We present an interactive graphical approach for the explicit specification of semantics for volume visualization. This explicit and\ngraphical specification of semantics for volumetric features allows us to visually assign meaning to both input and output parameters\nof the visualization mapping. This is in contrast to the implicit way of specifying semantics using transfer functions. In particular,\nwe demonstrate how to realize a dynamic specification of semantics which allows to flexibly explore a wide range of mappings.\nOur approach is based on three concepts. First, we use semantic shader augmentation to automatically add rule-based rendering\nfunctionality to static visualization mappings in a shader program, while preserving the visual abstraction that the initial shader\nencodes. With this technique we extend recent developments that define a mapping between data attributes and visual attributes\nwith rules, which are evaluated using fuzzy logic. Second, we let users define the semantics by analogy through brushing on\nrenderings of the data attributes of interest. Third, the rules are specified graphically in an interface that provides visual clues for\npotential modifications. Together, the presented methods offer a high degree of freedom in the specification and exploration of\nrule-based mappings and avoid the limitations of a linguistic rule formulation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 1024, "name": "Peter_2012_AIV-Image.jpg", "type": "image/jpeg", "size": 177301, "path": "Publication:Peter_2012_AIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 649, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Moritz", "lastname": "Gerl", "searchname": "Moritz Gerl", "is_teacher": false, "name": "Moritz Gerl", "publications": [ "gerl-2006-vhi", "Peter_2012_AIV" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=649", "__class": "Author" }, { "id": 488, "drupal_id": 334, "orcid_id": "0000-0003-4821-7404", "website": "https://www.cg.tuwien.ac.at/staff/PeterRautek", "firstname": "Peter", "lastname": "Rautek", "searchname": "Peter Rautek", "is_teacher": false, "name": "Peter Rautek", "publications": [ "bruckner-2010-HVC", "klein-2016-WCL", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek-2013-pel", "Peter_2012_AIV", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2006", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev-2010-DFC", "sorger_2017_metamorphers", "Soros_AVN_2011", "TR-186-2-05-03", "TR-186-2-06-01", "TR-186-2-07-05", "TR-186-2-07-10", "Vad_Viktor_2015_RVV", "Waldin_Nicholas_2016_Individualization" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Basch_2011_ATA", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "BirsakHanzl-2009", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Brandorff-08-OV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "brandorff-2009-erv", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Fruehstueck_Anna_2015_DOM", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "hanzl-2011", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Klein_Tobias_2015TIV", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Labschuetz_Matthias_2016_AHD", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Marek06", "field_id": 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], "journal": "Computers & Graphics", "number": "3", "pages_from": "201", "pages_to": "213", "volume": "36", "research_areas": [ { "id": "IllVis", "drupal_id": 4131, "name": "Illustrative Visualization", "short_abstract": "In this research area, we develop rendering methods that are inspired by scientific illustrations, in order to make complex biological information more intuitive to understand and more pleasant to read.", "abstract": "Scientific illustration is concerned with researching ways in which complex biological and medical data can be abstracted in order to convey a desired information that would otherwise be impossible or hard to retrieve from the original data. Illustrators apply such techniques, for instance, to present non-important parts of an organ in a simplified way, while using detailed representations to put the focus of attention on a region where a tumor might be situated.\n\nTo identify such meaningful visual abstractions for visualization, their effectiveness for human perception and cognition has to be assessed, and they have to be formalized in order to make them applicable in rendering algorithms. In this project, we try to advance the understanding of procedural visual abstraction of complex physiological processes that describe the complex machinery of biological life.", "website": "https://www.cg.tuwien.ac.at/research/area/IllVis", "teaser": { "name": "teaser.jpg", "path": "research_area:IllVis", "type": "image/jpeg", "size": 34861, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/IllVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "2017-kouril-illcell", "Alharbi_2021", "Antonini2020", "Balabanian-2010-IIV", "Balduz_01", "Bayat_2019", "Bechtold2020", "Birkeland-2012-IMC", "brandstaetter_01", "bruckner-2005-ICV", "bruckner-2006-ICE", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2010-HVC", "bruckner-2010-IFC", "cellVIEW_2015", "Chen-Information-2016", "Deutsch-2018", "Dhanoa_2021", "Dhanoa2024", "dietrich-2016-viseq2", "donabauer_2019_1", "eg-tut2005-iv", "eschner-2023-ims", "Essler2022", "gangl-2018-gpsart", "Gehrer_Daniel_CUI", "Gehrer-2017-molmach", "gerl-2006-vhi", "Gogel2020", "Groeller_2011_IPV", "Groeller_2016_I3", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_V1_2020", "groeller-2006-ivt", "groeller-2007-fci", "groeller-2008-irs", "Groeller-2010-IFI", "gruber-2025-vps", "Halladjian_2020", "haushofer-2018-skinning", "Heim_2020", "horvath-2018-ism", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "kloos-2026-icv", "Knapp_2017_CVR", "Koeppel2020", "kolesar-ivan-2014-polymers", "Konev-FCV2018", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "kroesl_x_card_2017", "Lackner_2022", "Langer_Edith_IR1", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "Leutschacher_2022", "ludwig-2012-MT", "Manczarski-2016", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "Melo_2018_11", "Meusburger_2020", "Miao_2019", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_stateKeylabTalk_2017", "miao2018Dimsum", "Michl_2017_CSV", "mindek-2015-mc", "mindek-2016-utah-talk", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-xmas-card-2016", "Moellinger_Christian_IDE2", "Niedermayer_2018", "Ortner_PhD", "Ortner2020", "pahr-2021-vologram", "Panayotov", "patel_daniel_2007_IRSD", "Pauschenwein_2022", "Peter_2012_AIV", "plank-2017-sldg", "prost-2016-molecule", "purgathofer-2008-cgi", "Radwan-2017-Occ", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-VF", "Reichinger_2016", "Reichinger_Fuhrmann_2016", "Reisacher_Matthias_CPW", "Reisacher2016", "Riegelnegg_2019", "rippl-2023-atg", "sbardellati_ba_2018", "Sbardellati-2019-vcbm", "schindler_2020vis", "schmidlehner2021", "scholz_2021", "Schrempf_2020", "SCHUETZ-2026-CURAST", "schultes_lampi", "seyfert-2017", "sikachev-2010-ill_vis_vol_ren", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "Spechtenhauser_Florian_2016", "stappen_2017_animatedcomic", "Stoll2020", "sturl_2016_dynlabels", "Swoboda2020", "szabo_patrik-2022-tour", "takahashi-2019-acdt", "Thomas-2018", "TR-186-2-07-08", "Troidl_2021", "Troidl_2022", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "Unger2020", "Vasileva_2022", "Viola_Ivan_2013_SVA", "Viola_Ivan_CLD", "Viola_Ivan_IIP", "viola-evr", "Viola-Pondering-2017", "Viola-vistutillustrativevis", "Waldin_Nicholas_2016_Colormaps", "waldin-2019-ccm", "Waldner_2017_11", "Wihann_2017", "Woschizka_2021", "wu-2019-bmc", "wu-2019-report", "Zaufel_2021", "zechmeister2020", "Zeng_2021", "Zusag-2017-Bach" ], "projects": [ "Illustrare", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=IllVis", "__class": "ResearchArea" } ], "keywords": [ "shader augmentation", "semantic visualization mapping", "illustrative visualization", "Volume rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 1024, "name": "Peter_2012_AIV-Image.jpg", "type": "image/jpeg", "size": 177301, "path": "Publication:Peter_2012_AIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Peter_2012_AIV-Paper.pdf", "type": "application/pdf", "size": 16916371, "path": "Publication:Peter_2012_AIV", "url": 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"https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Video:video.mp4" } ], "projects_workgroups": [ { "id": "ViMaL", "workgroup_id": "vis", "drupal_id": 4222, "drupal_path": "/research/projects/ViMaL", "name": "ViMaL: A Visualization Mapping Language", "name_de": null, "short_title": "ViMaL", "website": null, "status": "active", "short_abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "start_date": "2010-01-01", "end_date": "2014-12-31", "leader_id": 166, "logo": { "name": "logo.png", "path": "project:ViMaL", "type": "image/png", "size": 51461, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 21695-N23", "comment": null } ], "research_areas": [], "publications": [ "beham-2014-cupid", "Birkeland-2012-IMC", "borgo-2013-gly", "bruckner-2010-HVC", "Csebfalvi-2012-IOM", "Groeller_2011_NR", "Herghelegiu-2012-BPV", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2014-CSD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mctalk", "mindek-thesis", "oeltze-2013-tut", "Peter_2012_AIV", "rautek2010", "Ropinski-2012-UBT", "schmidt-phd", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Soros_AVN_2011", "vaico", "ymca" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/", "__class": "Publication" }, { "id": "Soros_AVN_2011", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Augmented Visualization with Natural Feature Tracking", "date": "2011-12", "abstract": "Visualization systems often require large monitors or projection\r\nscreens to display complex information. Even very sophisticated\r\nsystems that exhibit complex user interfaces do usually not exploit\r\nadvanced input and output devices. One of the reasons for that is\r\nthe high cost of special hardware. This paper introduces Augmen-\r\nted Visualization, an interaction method for projection walls as well\r\nas monitors using affordable and widely available hardware such as\r\nmobile phones or tablets. The main technical challenge is the track-\r\ning of the users’ devices without any special equipment or fiducial\r\nmarkers in the working area. We propose to track natural features\r\nof the display content with the built-in camera of mobile devices.\r\nTracking the visualized scene allows pose estimation of the mobile\r\ndevices with six degrees of freedom. The position and orientation\r\ninformation is then used for advanced interaction metaphors like\r\nmagic lenses. For a group of experts who are analyzing the data in\r\nfront of the same screen, a personal augmented view of the visua-\r\nlized scene is presented, for each user on his/her personal device.\r\nThe prototype Augmented Visualization System achieves interactive\r\nframe rates and may lead to a greatly enhanced user experience.\r\nThe paper discusses the design and implementation questions and\r\nillustrates potential application scenarios.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 545, "image_height": 300, "name": "Soros_AVN_2011-Teaser.jpg", "type": "image/jpeg", "size": 20571, "path": "Publication:Soros_AVN_2011", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 901, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Gábor", "lastname": "Sörös", "searchname": "Gábor Sörös", "is_teacher": false, "name": "Gábor Sörös", "publications": [ "Soros_AVN_2011", "Soros-AV-2010" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Soros_AVN_2011", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=901", "__class": "Author" }, { "id": 488, "drupal_id": 334, "orcid_id": "0000-0003-4821-7404", "website": "https://www.cg.tuwien.ac.at/staff/PeterRautek", "firstname": "Peter", "lastname": "Rautek", "searchname": "Peter Rautek", "is_teacher": false, "name": "Peter Rautek", "publications": [ "bruckner-2010-HVC", "klein-2016-WCL", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek-2013-pel", "Peter_2012_AIV", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2006", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev-2010-DFC", "sorger_2017_metamorphers", "Soros_AVN_2011", "TR-186-2-05-03", "TR-186-2-06-01", "TR-186-2-07-05", "TR-186-2-07-10", "Vad_Viktor_2015_RVV", "Waldin_Nicholas_2016_Individualization" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Basch_2011_ATA", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "BirsakHanzl-2009", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Brandorff-08-OV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "brandorff-2009-erv", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Fruehstueck_Anna_2015_DOM", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "hanzl-2011", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Klein_Tobias_2015TIV", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Labschuetz_Matthias_2016_AHD", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Marek06", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Pramerdorfer-2011-PAV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Rautek-2007-SLI", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Rautek-2008-IDS", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "RAUTEK06", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Rautek06Vis", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "rautek2010", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "sollboeck-2011", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Soros-AV-2010", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "StickmanMax-shoetta-kampfer", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=488", "__class": "Author" }, { "id": 956, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Hartmut", "lastname": "Seichter", "searchname": "Hartmut Seichter", "is_teacher": false, "name": "Hartmut Seichter", "publications": [ "Soros_AVN_2011" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=956", "__class": "Author" }, { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", 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"https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Video:video.mp4" } ], "projects_workgroups": [ { "id": "ViMaL", "workgroup_id": "vis", "drupal_id": 4222, "drupal_path": "/research/projects/ViMaL", "name": "ViMaL: A Visualization Mapping Language", "name_de": null, "short_title": "ViMaL", "website": null, "status": "active", "short_abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "start_date": "2010-01-01", "end_date": "2014-12-31", "leader_id": 166, "logo": { "name": "logo.png", "path": "project:ViMaL", "type": "image/png", "size": 51461, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 21695-N23", "comment": null } ], "research_areas": [], "publications": [ "beham-2014-cupid", "Birkeland-2012-IMC", "borgo-2013-gly", "bruckner-2010-HVC", "Csebfalvi-2012-IOM", "Groeller_2011_NR", "Herghelegiu-2012-BPV", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2014-CSD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mctalk", "mindek-thesis", "oeltze-2013-tut", "Peter_2012_AIV", "rautek2010", "Ropinski-2012-UBT", "schmidt-phd", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Soros_AVN_2011", "vaico", "ymca" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/", "__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": [ { "id": 798, "drupal_id": 714, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/JürgenWaser", "firstname": "Jürgen", "lastname": "Waser", "searchname": "Jürgen Waser", "is_teacher": false, "name": "Jürgen Waser", "publications": [ "Cornel_Daniel_2015_VOC", "CORNEL-2019-IVF", "cornel-2022-wih", "Cornel2016CFM", "fuchs_vhml", "Groeller_2011_NR", "Groeller_2014_RWA", "Konev-FCV2018", "kroesl-2019-MoD", "rauer-zechmeister-2024-h3p", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "waser_2011_VSD", "Waser-2010-WL" ], "publications_first": [], "project_leader": [ "Scenario Pool" ], "publication_field": [ { "publ_id": "Groeller_2011_NR", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Gurbat_2011_SBS", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Matusich-2017-01", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Ribicic-2010-CRS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Waser-2010-WL", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=798", "__class": "Author" }, { "id": 889, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Hrvoje", "lastname": "Ribičić", "searchname": "Hrvoje Ribičić", "is_teacher": false, "name": "Hrvoje Ribičić", "publications": [ "Groeller_2011_NR", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Waser-2010-WL" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=889", "__class": "Author" }, { "id": 672, "drupal_id": 250, "orcid_id": null, "website": "http://graphics.ethz.ch/~rafuchs", "firstname": "Raphael", "lastname": "Fuchs", "searchname": "Raphael Fuchs", "is_teacher": false, "name": "Raphael Fuchs", "publications": [ "fuchs_raphael_2007_par", "fuchs_vhml", "fuchs-2008-del", "fuchs-2009-ncp", "fuchs-pcs-2009", "fuchs-vom-2009", "fuchs-vortex", "Groeller_2011_NR", "Ribicic_2012_VAS", "Waser-2010-WL" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "ammer-2008-lst", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "buerger-2007-star", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "fuchs_vhml", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "monitzer_2008_FluSi", "field_id": "supervisor", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=672", "__class": "Author" }, { "id": 978, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Christian", "lastname": "Hirsch", "searchname": "Christian Hirsch", "is_teacher": false, "name": "Christian Hirsch", "publications": [ "Groeller_2011_NR", "Hirsch_Christian_2015_ABL" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=978", "__class": "Author" }, { "id": 829, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Benjamin", "lastname": "Schindler", "searchname": "Benjamin Schindler", "is_teacher": false, "name": "Benjamin Schindler", "publications": [ "fuchs-pcs-2009", "Groeller_2011_NR", "Waser-2010-WL" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "fuchs-pcs-2009", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=829", "__class": "Author" }, { "id": 1330, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Günter", "lastname": "Blöschl", "searchname": "Günter Blöschl", "is_teacher": false, "name": "Günter Blöschl", "publications": [ "Groeller_2011_NR", "rauer-zechmeister-2024-h3p", "Ribicic_2012_VAS", "Waser-2010-WL" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "waser_2011_VSD", "field_id": "reviewer_2", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1330", "__class": "Author" }, { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", 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"eg-tut2005-iv", "eichner-2022-music", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "fernandez-2022-ergoexplorer", "fischel-1995-vis", "Fischel-1995-VLS", "Fischel-1997-CSVVP", "Fischel-1998-Cas", "fmistelbauer-2014-adict", "fritz-2009-ava", "Froehler_Berhnard_2015_ESM", "fuchs_vhml", "fuchs-2008-del", "Fuhr-1999-Multi", "Fuhrmann-1998-Rea", "fuhrmann-1998-reaX", "Furmanova_2018", "furmanova_2020", "furmanova-2024-bvp", "gall-2025-marv", "Gall2021", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu-2010-CIE", "Gillmann2021", "Glaeser-1997-EVG", "Glaeser-1998-AFa", "Glaeser-1998-Eff", "Glaeser-1999-Fas", "glanznig-2009-LAMC", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I1", "Groeller_2016_I2", "Groeller_2016_I3", "Groeller_2016_I4", "Groeller_2016_I5", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-1987-opt", "groeller-1988-duale", "groeller-1988-using", "groeller-1991-frac", "groeller-1991-temp", "groeller-1992-frac", "groeller-1992-fractals", "groeller-1992-fraktale", "groeller-1992-vis", "groeller-1993-acc", "groeller-1993-cha", "groeller-1993-coh", "groeller-1993-coh1", "groeller-1993-daten", "groeller-1993-dist", "groeller-1993-disto", "groeller-1993-eff", "groeller-1993-exp", "groeller-1993-frak", "groeller-1993-grund", "groeller-1993-oct", "Groeller-1994-AIV", "groeller-1994-appl", "Groeller-1994-AVT", "groeller-1994-coh", "Groeller-1994-CSA", "groeller-1994-ext", "Groeller-1994-HIS", "groeller-1994-hyper", "Groeller-1994-IDN", "groeller-1994-int", "Groeller-1994-ITV", "groeller-1994-mod", "Groeller-1994-MRN", "groeller-1994-tech", "groeller-1994-vis", "groeller-1995-appl", "groeller-1995-attract", "Groeller-1995-CCG", "groeller-1995-dyn", "Groeller-1995-GOW", "Groeller-1995-IED", "groeller-1995-inter", 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"In this research area, our focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning. ", "abstract": "Data and information created by various processes (e.g., simulations) is getting larger, and more and more complex. We use interactive visualization and analysis techniques to facilitate exploration of complex parameter spaces (e.g., to analyze and compare parameters for automotive engineering, reconstruction algorithms, or geometry generators) or unstructured information collections (e.g., annotated digital documents or image collections). Our research focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning.
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The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "start_date": "2010-01-01", "end_date": "2014-12-31", "leader_id": 166, "logo": { "name": "logo.png", "path": "project:ViMaL", "type": "image/png", "size": 51461, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 21695-N23", "comment": null } ], "research_areas": [], "publications": [ "beham-2014-cupid", "Birkeland-2012-IMC", "borgo-2013-gly", "bruckner-2010-HVC", "Csebfalvi-2012-IOM", "Groeller_2011_NR", "Herghelegiu-2012-BPV", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2014-CSD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mctalk", "mindek-thesis", "oeltze-2013-tut", "Peter_2012_AIV", "rautek2010", "Ropinski-2012-UBT", "schmidt-phd", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Soros_AVN_2011", "vaico", "ymca" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/", "__class": "Publication" }, { "id": "sikachev_peter-2011-dfc", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Dynamic Focus + Context\u000b for Volume Rendering", "date": "2011-06-09", "abstract": "Interactive visualization is widely used in many applications for efficient representation of complex data. Many\r\ntechniques make use of the focus+context approach in a static manner. These techniques do not fully make use\r\nof the interaction semantics. In this paper we present a dynamic focus+context approach that highlights salient\r\nfeatures during user interaction. We explore rotation, panning, and zooming interaction semantics and propose\r\nseveral methods of changing visual representations, based on a suggested engagement-estimation method. We\r\nuse DVR-MIP interpolation and a radial opacity-change approach, exploring rotation, panning, and zooming\r\nsemantics. Our approach adds short animations during user interaction that help to explore the data efficiently\r\nand aid the user in the detection of unknown features.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "icon", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 412, "image_height": 540, "name": "sikachev_peter-2011-dfc-icon.png", "type": "image/png", "size": 91526, "path": "Publication:sikachev_peter-2011-dfc", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-dfc/sikachev_peter-2011-dfc-icon.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-dfc/sikachev_peter-2011-dfc-icon:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 864, "drupal_id": 148, "orcid_id": null, "website": 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These techniques do not fully make use of the interaction semantics.\r\nIn this paper we present a dynamic focus+context approach that highlights salient features during user interaction. We explore rotation, panning, and zooming interaction semantics and propose several methods of changing visual representations, based on a suggested engagement-estimation method. 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"vis", "drupal_id": 4222, "drupal_path": "/research/projects/ViMaL", "name": "ViMaL: A Visualization Mapping Language", "name_de": null, "short_title": "ViMaL", "website": null, "status": "active", "short_abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. 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"active", "short_abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. 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We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. 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We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. 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Currently, traditional scientific illustrations are produced\nin a series of composition stages, combining different pictorial elements using 2D digital layering. Our\napproach extends the layer metaphor into 3D without giving up the advantages of 2D methods. The\nnew compositing approach allows for effects such as selective transparency, occlusion overrides, and\nsoft depth buffering. Furthermore, we show how common manipulation techniques such as masking\ncan be integrated into this concept. These tools behave just like in 2D, but their influence extends\nbeyond a single viewpoint. Since the presented approach makes no assumptions about the underlying\nrendering algorithms, layers can be generated based on polygonal geometry, volumetric data, pointbased\nrepresentations, or others. 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biological and medical data can be abstracted in order to convey a desired information that would otherwise be impossible or hard to retrieve from the original data. Illustrators apply such techniques, for instance, to present non-important parts of an organ in a simplified way, while using detailed representations to put the focus of attention on a region where a tumor might be situated.\n\nTo identify such meaningful visual abstractions for visualization, their effectiveness for human perception and cognition has to be assessed, and they have to be formalized in order to make them applicable in rendering algorithms. In this project, we try to advance the understanding of procedural visual abstraction of complex physiological processes that describe the complex machinery of biological life.", "website": "https://www.cg.tuwien.ac.at/research/area/IllVis", "teaser": { "name": "teaser.jpg", "path": "research_area:IllVis", "type": "image/jpeg", "size": 34861, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/IllVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "2017-kouril-illcell", "Alharbi_2021", "Antonini2020", "Balabanian-2010-IIV", "Balduz_01", "Bayat_2019", "Bechtold2020", "Birkeland-2012-IMC", "brandstaetter_01", "bruckner-2005-ICV", "bruckner-2006-ICE", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2010-HVC", "bruckner-2010-IFC", "cellVIEW_2015", "Chen-Information-2016", "Deutsch-2018", "Dhanoa_2021", "Dhanoa2024", "dietrich-2016-viseq2", "donabauer_2019_1", "eg-tut2005-iv", "eschner-2023-ims", "Essler2022", "gangl-2018-gpsart", "Gehrer_Daniel_CUI", "Gehrer-2017-molmach", "gerl-2006-vhi", "Gogel2020", "Groeller_2011_IPV", "Groeller_2016_I3", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_V1_2020", "groeller-2006-ivt", "groeller-2007-fci", "groeller-2008-irs", "Groeller-2010-IFI", "gruber-2025-vps", "Halladjian_2020", "haushofer-2018-skinning", "Heim_2020", "horvath-2018-ism", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "kloos-2026-icv", "Knapp_2017_CVR", "Koeppel2020", "kolesar-ivan-2014-polymers", "Konev-FCV2018", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "kroesl_x_card_2017", "Lackner_2022", "Langer_Edith_IR1", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "Leutschacher_2022", "ludwig-2012-MT", "Manczarski-2016", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "Melo_2018_11", "Meusburger_2020", "Miao_2019", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_stateKeylabTalk_2017", "miao2018Dimsum", "Michl_2017_CSV", "mindek-2015-mc", "mindek-2016-utah-talk", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-xmas-card-2016", "Moellinger_Christian_IDE2", "Niedermayer_2018", "Ortner_PhD", "Ortner2020", "pahr-2021-vologram", "Panayotov", "patel_daniel_2007_IRSD", "Pauschenwein_2022", "Peter_2012_AIV", "plank-2017-sldg", "prost-2016-molecule", "purgathofer-2008-cgi", "Radwan-2017-Occ", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-VF", "Reichinger_2016", "Reichinger_Fuhrmann_2016", "Reisacher_Matthias_CPW", "Reisacher2016", "Riegelnegg_2019", "rippl-2023-atg", "sbardellati_ba_2018", "Sbardellati-2019-vcbm", "schindler_2020vis", "schmidlehner2021", "scholz_2021", "Schrempf_2020", "SCHUETZ-2026-CURAST", "schultes_lampi", "seyfert-2017", "sikachev-2010-ill_vis_vol_ren", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "Spechtenhauser_Florian_2016", "stappen_2017_animatedcomic", "Stoll2020", "sturl_2016_dynlabels", "Swoboda2020", "szabo_patrik-2022-tour", "takahashi-2019-acdt", "Thomas-2018", "TR-186-2-07-08", "Troidl_2021", "Troidl_2022", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "Unger2020", "Vasileva_2022", "Viola_Ivan_2013_SVA", "Viola_Ivan_CLD", "Viola_Ivan_IIP", "viola-evr", "Viola-Pondering-2017", "Viola-vistutillustrativevis", "Waldin_Nicholas_2016_Colormaps", "waldin-2019-ccm", "Waldner_2017_11", "Wihann_2017", "Woschizka_2021", "wu-2019-bmc", "wu-2019-report", "Zaufel_2021", "zechmeister2020", "Zeng_2021", "Zusag-2017-Bach" ], "projects": [ "Illustrare", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=IllVis", "__class": "ResearchArea" }, { "id": "MedVis", "drupal_id": 4133, "name": "Medical Visualization", "short_abstract": "This research area bridges the gap between visualization and medicine by providing comprehensible visual means to detect diseased regions or to aid clinical treatment decisions.", "abstract": "In collaboration with hospitals we try to investigate various topics in medicine by means of visualization or visual analytics. Due to the increasing amount of data generated by hospital information systems, visualization becomes successively more important. Extracting certain trends from such highly diverse data by suitable visual mappings is one of the primary goals of medical visualization. The data is usually acquired by computed tomography, magnetic resonance imaging or ultrasound.\n\nCurrently, our research addresses the analysis of blood vessels such as the inspection of possible stenotic regions or their spatial arrangement as in the Circle of Willis. Furthermore, we investigate aneurysm classification and lesion detection as well as visualization. Another research area deals with realistic prenatal visualization of the fetus in-vivo and in real-time. Due to the high variability of medical imaging data, we further focus on high-level correction of segmentation defects.", "website": "https://www.cg.tuwien.ac.at/research/area/MedVis", "teaser": { "name": "teaser.png", "path": "research_area:MedVis", "type": "image/png", "size": 225330, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/MedVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "amabili2021", "amirkhanov-2018-withteeth", "amirkhanov-2021-diss", "antes-2023-vhv", "arbesser_ba_2023", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2008-hvv", "Balabanian-2010-IIV", "Bauer_David_2018", "bayat-2022-mva", "Bernold_2019", "bernold-2019-epr", "Birkeland-2012-IMC", "borondy2022", "bront-2023-svo", "bruckner-2010-HVC", "burns-2007-fea", "Chen-Information-2016", "djuric-2020-wvo", "Eckelt_2017", "Eichner2022", "EuroVis2018-ShortPapers-Karall", "fmistelbauer-2014-adict", "Ford-2012-HRV", "furmanova_2020", "Gadllah_Hani_2016", "Gall_2017", "gall_alexander_2016BA", "ganglberger2019", "Gietl_2020", "Gillmann2021", "Groeller_2016_P4", "Groeller_V42020", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "gutekunst_2019", "Hainoun2019", "Heim-2017", "Ismail-2018", "jank-2022-cbf", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "Kovacs_PhD", "Machegger2018DTI", "magg-2021-dva", "magg2021", "magg2022", "malan_fluoro", "martorell2022", "Masopust_2018", "Mazza_2020", "Miao_2015_VCBM", "miao_2016_cgf", "Miao_Haichao_2015_VQC", "miao_stateKeylabTalk_2017", "miao_thesis_2019", "miao_tvcg_2017", "mindek-2017-dsn", "Mistelbauer_2021", "Mistelbauer_Gabriel_2016", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "moerth_eric-2016-3DF", "moerth-2018-tpose", "Musleh_PhD", "musleh-2023-ugi", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "PERNDORFER-2015-ECS", "Pezenka-2016-MT", "Philipp_Hochhauser_2023", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_bestphd", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_visgap2020", "raidou2018visualflatter", "Reiter2017CVAP", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "ruiz-2008-OVR", "ruiz-2008-SEV", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "Schmidlehner_Sandra_SbC", "Schrempf_2018", "schultes_lampi", "SifuentesGangl2017FIS", "solteszova-2010-MOS", "Solteszova2016", "Spelitz2020", "stritzel2022", "Stritzel2022_thesis", "Tramberger_2018", "Tramberger2017BCS", "unger_2017", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_HQ3", "Viola_Ivan_DAC", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "vitruvian_2019", "vogel2022", "Weissenboeck_2019_PhD" ], "projects": [ "d9951", "Smile Analytics" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=MedVis", "__class": "ResearchArea" } ], "keywords": [ "compositing", "masking", "illustration" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 854, "image_height": 913, "name": "bruckner-2010-HVC-Image.jpg", "type": "image/jpeg", "size": 307188, "path": "Publication:bruckner-2010-HVC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": 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175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 1:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 1:video.mp4" }, { "description": "Computer-generated illustration of the reproductive system", "filetitle": "Video 2", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "bruckner-2010-HVC-Video 2.avi", "type": "video/x-msvideo", "size": 25411494, "path": "Publication:bruckner-2010-HVC", "preview_name": "bruckner-2010-HVC-Video 2:preview.png", "preview_type": "image/jpeg", "preview_size": 37959, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 2.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 2:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 2:video.mp4" }, { "description": "Computer-generated illustration of the human liver", "filetitle": "Video 3", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "bruckner-2010-HVC-Video 3.avi", "type": "video/x-msvideo", "size": 24452420, "path": "Publication:bruckner-2010-HVC", "preview_name": "bruckner-2010-HVC-Video 3:preview.png", "preview_type": "image/jpeg", "preview_size": 37344, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 3.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 3:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 3:video.mp4" } ], "projects_workgroups": [ { "id": "ViMaL", "workgroup_id": "vis", "drupal_id": 4222, "drupal_path": "/research/projects/ViMaL", "name": "ViMaL: A Visualization Mapping Language", "name_de": null, "short_title": "ViMaL", "website": null, "status": "active", "short_abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "start_date": "2010-01-01", "end_date": "2014-12-31", "leader_id": 166, "logo": { "name": "logo.png", "path": "project:ViMaL", "type": "image/png", "size": 51461, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 21695-N23", "comment": null } ], "research_areas": [], "publications": [ "beham-2014-cupid", "Birkeland-2012-IMC", "borgo-2013-gly", "bruckner-2010-HVC", "Csebfalvi-2012-IOM", "Groeller_2011_NR", "Herghelegiu-2012-BPV", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2014-CSD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mctalk", "mindek-thesis", "oeltze-2013-tut", "Peter_2012_AIV", "rautek2010", "Ropinski-2012-UBT", "schmidt-phd", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Soros_AVN_2011", "vaico", "ymca" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/", "__class": "Publication" } ]