• DocumentCode
    3317198
  • Title

    Recent advances in distributed video coding

  • Author

    Rup, Suvendu ; Dash, Ratnakar ; Ray, Niranjan Kumar ; Majhi, Banshidhar

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Nat. Inst. of Technol. Rourkela, Rourkela, India
  • fYear
    2009
  • fDate
    8-11 Aug. 2009
  • Firstpage
    130
  • Lastpage
    135
  • Abstract
    Distributed Video coding (DVC) is a new coding paradigm for video compression mainly based on two major information theory results, Slepian and Wolf´s and Wyner-Ziv theorems. In some major ap- plications such as wireless low power surveillance and multimedia sensor networks, wireless PC cameras and mobile camera phones, it is really a challenge for traditional video coding architecture. For both encoder and decoder, it is necessary to have a low power consumption for some cases. So low power and low complexity encoder are essential to satisfy those requirements. This paper reviews some recent developments of distributed video coding. Slepian and Wolf´s coding is the lossless source coding and Wyner-Ziv coding is a lossy compression with receiver side information. It has been observed that in most of the traditional video coding algorithm such as MPEG,H.263+ or H.264 the encoder has com- plex computational operation rather than the decoder. The distributed video coding is a new kind of video coding which allows a low complexity video encoding where the major part of computational burden is shifted to decoder. DVC is mainly applicable to two areas that is low complexity video coding and robust video coding. The dierent techniques are analysed based on certain parameters such as compression rate, decoding and motion compensation.
  • Keywords
    data compression; decoding; video coding; Slepian-and-Wolf coding; Wyner-Ziv coding; distributed video coding; encoder-decoder; video compression; video encoding; Cameras; Decoding; Energy consumption; Information theory; Source coding; Surveillance; Transform coding; Video coding; Video compression; Wireless sensor networks; Distributed Video Coding; Low complexity Video coding; Wyner-Ziv coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4519-6
  • Electronic_ISBN
    978-1-4244-4520-2
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2009.5234835
  • Filename
    5234835