Integrated Views in Visualization

Information

• Publication Type: Invited Talk
• Workgroup(s)/Project(s):
  • Visualization Group
• Date: 2010
• Event: Institute seminar, Department of Informatics
• Location: University of Bergen
• Conference date: 20. May 2010 –

Abstract

Data Visualization uses computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity has increased tremendously. This is for example due to an increase in data size and dimensionality. New imaging modalities generate quite heterogeneous, multi-valued, multi-modal, and time-varying data. Separate views and linked views are approaches to cope with complexity, but are limited, e.g., concerning scalability. This talk will concentrate rather on integrated views as inspired by traditional illustrations. The concept of A-space is presented. It is the “space” where visualization algorithms reside. Every visualization algorithm is a unique point in A-space. Integrated visualizations can be interpreted as an “interpolation” between known algorithms. The void between algorithms can be considered as a visualization opportunity where a new point in A-space can be reconstructed and new integrated visualizations can be created. The talk will discuss several research examples which go beyond data and image fusion and achieve what can be considered algorithm fusion.

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BibTeX

@talk{Groeller-2010-IVVI,
  title =      "Integrated Views in Visualization",
  author =     "Eduard Gr\"{o}ller",
  year =       "2010",
  abstract =   "Data Visualization uses computer-supported, interactive,
               visual representations of (abstract) data to amplify
               cognition. In recent years data complexity has increased
               tremendously. This is for example due to an increase in data
               size and dimensionality. New imaging modalities generate
               quite heterogeneous, multi-valued, multi-modal, and
               time-varying data. Separate views and linked views are
               approaches to cope with complexity, but are limited, e.g.,
               concerning scalability. This talk will concentrate rather on
               integrated views as inspired by traditional illustrations.
               The concept of A-space is presented. It is the “space”
               where visualization algorithms reside. Every visualization
               algorithm is a unique point in A-space. Integrated
               visualizations can be interpreted as an “interpolation”
               between known algorithms. The void between algorithms can be
               considered as a visualization opportunity where a new point
               in A-space can be reconstructed and new integrated
               visualizations can be created. The talk will discuss several
               research examples which go beyond data and image fusion and
               achieve what can be considered algorithm fusion. ",
  event =      "Institute seminar, Department of Informatics",
  location =   "University of Bergen",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2010/Groeller-2010-IVVI/",
}