• DocumentCode
    2789877
  • Title

    Inter-view-predicted redundant pictures for viewpoint switching in multiview video streaming

  • Author

    Zhu, Ling ; Hannuksela, Miska M. ; Li, Houqiang

  • Author_Institution
    Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    746
  • Lastpage
    749
  • Abstract
    Interactive selection of the desired viewpoint is one important feature in multiview video streaming. When receivers differ in the number of simultaneously displayed views, it is challenging to optimize the multiview coding structure particularly when it comes to the use of inter-view prediction and anchor picture frequency. This paper presents a coding and transmission scheme for streaming to clients of different display capabilities. The scheme saves transmission bandwidth by sending only those views that are displayed in a receiver. Furthermore, the scheme enables viewpoint switching through inter-view-predicted redundant pictures representing different sets of views being switched from and switched to. When switching happens at a switch point, an appropriate redundant picture is adaptively chosen based on which views were transmitted before and will be transmitted after the switch point. Experimental results show that the proposed scheme improves the rate-distortion (RD) performance compared to simple anchor picture insertion.
  • Keywords
    optimisation; rate distortion theory; video coding; video streaming; anchor picture frequency; anchor picture insertion; inter-view prediction; multiview coding; multiview video streaming; optimization; rate-distortion performance; Bandwidth; Decoding; Glass; Polarization; Rate-distortion; Streaming media; Switches; Three dimensional displays; Two dimensional displays; Video coding; Multiview video coding; streaming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5495024
  • Filename
    5495024