• DocumentCode
    2577253
  • Title

    Distributed Video Coding using Compressive Sampling

  • Author

    Prades-Nebot, J. ; Yi Ma ; Huang, Thomas

  • Author_Institution
    GTS, Univ. Politec. de Valencia, Valencia, Spain
  • fYear
    2009
  • fDate
    6-8 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we propose a new Distributed Video Coding (DVC) algorithm based on compressive sampling principles. Our encoding algorithm transmits a set of measurements of every frame block. Using these measurements, the decoder finds an approximation of each block as a linear combination of a small number of blocks in previously transmitted frames. Thanks to the simplicity of the encoding, our algorithm can be useful in those video applications that require very low complex encoders. However, our algorithm is less efficient than another state-of-the-art DVC technique.
  • Keywords
    data compression; decoding; distributed algorithms; image sampling; video coding; compressive sampling; decoding; distributed video coding algorithm; encoding algorithm; Decoding; Educational programs; Encoding; Parity check codes; Proposals; Sampling methods; Signal processing; Turbo codes; Video coding; Video compression; Compressive sampling; Wyner-Ziv video coding; distributed video coding; sparse representations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Picture Coding Symposium, 2009. PCS 2009
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-4593-6
  • Electronic_ISBN
    978-1-4244-4594-3
  • Type

    conf

  • DOI
    10.1109/PCS.2009.5167431
  • Filename
    5167431