Visual Coherence for Large-Scale Line-Plot Visualizations

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• Publication Type: Journal Paper with Conference Talk
• Booktitle: Computer Graphics Forum
• Date (from): 31 May 2011
• Date (to): 03 June 2011
• Event: EuroVis 2011
• ISSN: 0167-7055
• Lecturer: Philipp Muigg
• Location: Bergen, Norway
• Organization: The Eurographics Association and Blackwell Publishing Ltd.
• Publisher: Blackwell Publishing
• Weblink: http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2011.01913.x/abstract

@article\{Muigg_2011_VC,
  title =      "Visual Coherence for Large-Scale Line-Plot Visualizations",
  author =     "Philipp Muigg and Markus Hadwiger and Helmut Doleisch and
               Meister Eduard Gr{\"o}ller",
  year =       "2011",
  abstract =   "Displaying a large number of lines within a limited amount
               of screen space is a task that is common to many different
               classes of visualization techniques such as time-series
               visualizations, parallel coordinates, link-node diagrams,
               and phase-space diagrams. This paper addresses the
               challenging problems of cluttering and overdraw inherent to
               such visualizations. We generate a 2x2 tensor field during
               line rasterization that encodes the distribution of line
               orientations through each image pixel. Anisotropic diffusion
               of a noise texture is then used to generate a dense,
               coherent visualization of line orientation. In order to
               represent features of different scales, we employ a
               multi-resolution representation of the tensor field. The
               resulting technique can easily be applied to a wide variety
               of line-based visualizations. We demonstrate this for
               parallel coordinates, a time-series visualization, and a
               phase-space diagram. Furthermore, we demonstrate how to
               integrate a focus+context approach by incorporating a second
               tensor field. Our approach achieves interactive rendering
               performance for large data sets containing millions of data
               items, due to its image-based nature and ease of
               implementation on GPUs. Simulation results from
               computational fluid dynamics are used to evaluate the
               performance and usefulness of the proposed method.",
  pages =      "643--652",
  month =      jun,
  organization = "The Eurographics Association and Blackwell Publishing Ltd.",
  number =     "3",
  booktitle =  "Computer Graphics Forum",
  event =      "EuroVis 2011",
  issn =       "0167-7055",
  journal =    "Computer Graphics Forum",
  publisher =  "Blackwell Publishing",
  volume =     "30",
  location =   "Bergen, Norway",
  URL =        "http://www.cg.tuwien.ac.at/research/publications/2011/Muigg_2011_VC/",
}