• DocumentCode
    2934157
  • Title

    Modeling the tele-immersive systems using stochastic activity network

  • Author

    Malik, Rahul ; Wu, Wanmin ; Nahrstedt, Klara

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    1162
  • Lastpage
    1165
  • Abstract
    The next-generation social communication medium, tele-immersion, is receiving increasing attention from both the research and industrial communities. It enables interaction between geographically distributed sites through realistic reconstruction of physical scenes in immersive spaces. While the previous research focused on real-world measurements of implemented tele-immersive systems, we take a model-based approach to study the system more generally and thoroughly. With a model validated with actual measurements, we evaluate the system performance in a larger scale, and understand the quantitative effect of the algorithmic enhancements that were proposed in the literature. We also predict futuristic performance characteristic and show that high interactivity can be foreseen with hardware advances in the near future.
  • Keywords
    computer mediated communication; computer vision; image reconstruction; rendering (computer graphics); wireless LAN; geographically distributed sites; immersive spaces; model-based approach; next-generation social communication medium; stochastic activity network; tele-immersive systems; video-mediated interaction; Cameras; Computer science; Displays; Hardware; Layout; Scalability; Software measurement; Stochastic systems; Storage area networks; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1945-7871
  • Print_ISBN
    978-1-4244-4290-4
  • Electronic_ISBN
    1945-7871
  • Type

    conf

  • DOI
    10.1109/ICME.2009.5202706
  • Filename
    5202706