Data-Sensitive Visual Navigation

Information

• Publication Type: Journal Paper with Conference Talk
• Workgroup(s)/Project(s):
  • Visual Computing: Illustrative Visualization
• Date: October 2017
• Journal: Computers & Graphics
• Volume: 67
• Number: C
• Location: Mikulov, Czech Republic
• Lecturer: Eduard Gröller
• Event: SCCG 2017
• Conference date: 15. May 2017 – 17. May 2017
• Pages: 77 – 85
• Keywords: navigation, exploration, medical visualization

Abstract

In visualization systems it is often the case that the changes of the input parameters are not proportional to the visual change of the generated output. In this paper, we propose a model for enabling data-sensitive navigation for user-interface elements. This model is applied to normalize the user input according to the visual change, and also to visually communicate this normalization. In this way, the exploration of heterogeneous data using common interaction elements can be performed in an efficient way. We apply our model to the field of medical visualization and present guided navigation tools for traversing vascular structures and for camera rotation around 3D volumes. The presented examples demonstrate that the model scales to user-interface elements where multiple parameters are set simultaneously.

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BibTeX

@article{mindek-2017-dsn,
  title =      "Data-Sensitive Visual Navigation",
  author =     "Peter Mindek and Gabriel Mistelbauer and Eduard Gr\"{o}ller
               and Stefan Bruckner",
  year =       "2017",
  abstract =   "In visualization systems it is often the case that the
               changes of the input parameters are not proportional to the
               visual change of the generated output. In this paper, we
               propose a model for enabling data-sensitive navigation for
               user-interface elements. This model is applied to normalize
               the user input according to the visual change, and also to
               visually communicate this normalization. In this way, the
               exploration of heterogeneous data using common interaction
               elements can be performed in an efficient way. We apply our
               model to the field of medical visualization and present
               guided navigation tools for traversing vascular structures
               and for camera rotation around 3D volumes. The presented
               examples demonstrate that the model scales to user-interface
               elements where multiple parameters are set simultaneously.",
  month =      oct,
  journal =    "Computers & Graphics",
  volume =     "67",
  number =     "C",
  pages =      "77--85",
  keywords =   "navigation, exploration, medical visualization",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/",
}