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Supporting Display Scalability by Redundant Mapping

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Advances in Visual Computing (ISVC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6938))

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Abstract

Visual analysis sessions are increasingly conducted in multi-display environments. However, presenting a data set simultaneously on heterogenous displays to users is a challenging task. In this paper we propose a two-step mapping strategy to address this problem. The first mapping step applies primary mapping functions to generate the same basic layout for all output devices and adapts the object size based on the display characteristic to guarantee the visibility of all elements. The second mapping step introduces additional visual cues to enhance the effectiveness of the visual encoding for different output devices. To demonstrate the Two-Step-Mapping we apply this concept to scatter plots presenting cluster data.

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Author information

Authors and Affiliations

  1. Institute for Computer Science, University of Rostock, Germany

    Axel Radloff, Martin Luboschik & Heidrun Schumann

  2. Geoinformatics, German Research Center for GeoSciences, Potsdam, Germany

    Mike Sips

Authors
  1. Axel Radloff
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  2. Martin Luboschik
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  3. Mike Sips
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  4. Heidrun Schumann
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Editor information

Editors and Affiliations

  1. University of Nevada, 89557, Reno, NV, USA

    George Bebis

  2. NASA Ames Research Center, 94035, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, 94720, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, 89512, Reno, NV, USA

    Darko Koracin

  5. Department of Computer Science and Engineering, University of South Carolina, 29208, Columbia, SC, USA

    Song Wang

  6. HRL Laboratories, 3011 Malibu Canyon Road, 90265-4797, Malibu, CA, USA

    Kim Kyungnam

  7. Purdue University, 47907-2021, West Lafayette, IN, USA

    Bedrich Benes

  8. Sandia National Laboratory, 87185, Albuquerque, NM, USA

    Kenneth Moreland

  9. University of Louisiana, 70504, Lafayette, LA, USA

    Christoph Borst

  10. Adobe Systems Incorporated, San Francisco, CA, USA

    Stephen DiVerdi

  11. Polytechnic Institute of NYU, 11201, Brooklyn, NY, USA

    Chiang Yi-Jen

  12. Lawrence Livermore National Laboratory, 94551-0808, Livermore, CA, USA

    Jiang Ming

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© 2011 Springer-Verlag Berlin Heidelberg

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Radloff, A., Luboschik, M., Sips, M., Schumann, H. (2011). Supporting Display Scalability by Redundant Mapping. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2011. Lecture Notes in Computer Science, vol 6938. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24028-7_44

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  • DOI: https://doi.org/10.1007/978-3-642-24028-7_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24027-0

  • Online ISBN: 978-3-642-24028-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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