[ { "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": "https://www.cg.tuwien.ac.at/staff/PeterSikachev", "firstname": "Peter", "lastname": "Sikachev", "searchname": "Peter Sikachev", "is_teacher": false, "name": "Peter Sikachev", "publications": [ "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" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "sikachev_peter_2010_STLCI", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "sikachev_peter-2011-dfc", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "sikachev_peter-2011-protovis", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "sikachev-2010-DFC", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=864", "__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", 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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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", "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/sikachev_peter-2011-protovis/", "__class": "Publication" }, { "id": "sikachev-2010-DFC", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Dynamic Focus+Context for Volume Rendering", "date": "2010-11", "abstract": "Interactive visualization is widely used in many applications for efficient representation of complex data.\r\nMany techniques make use of the focus+context approach in a static manner. 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. We use DVR-MIP interpolation and a radial opacity-change approach, exploring rotation, panning, and zooming semantics.\r\nOur approach adds short animations during user interaction that help to explore the data efficiently and aid the user in the detection of unknown features.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 864, "drupal_id": 148, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/PeterSikachev", "firstname": "Peter", "lastname": "Sikachev", "searchname": "Peter Sikachev", "is_teacher": false, "name": "Peter Sikachev", "publications": [ "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" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "sikachev_peter_2010_STLCI", 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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. 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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.", "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/sikachev-2010-ill_vis_vol_ren/", "__class": "Publication" } ]