• DocumentCode
    1866133
  • Title

    A low-complexity iterative mode selection algorithm Forwyner-Ziv video compression

  • Author

    Liu, Limin ; He, Da-Ke ; Jagmohan, Ashish ; Lu, Ligang ; Delp, Edward J.

  • Author_Institution
    Video & Image Process. Lab. (VIPER), IBM T.J. Watson Res. Center, Yorktown Heights, NY
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1136
  • Lastpage
    1139
  • Abstract
    Aiming at improving compression performance, we consider mode selection for Wyner-Ziv video compression where a block of pixels in a video frame, after discrete cosine transform (DCT), can be either encoded by using H.264 Intra mode or Wyner-Ziv (WZ) mode with side information processed at the decoder. Under the constraint of encoding complexity, an iterative algorithm is proposed to find the best partition of a video frame in to these two modes in the sense of minimizing the overall compression rate. It is shown that the algorithm always converges. Experimental results on standard video test sequences show that by using the proposed algorithm for mode selection, one can achieve about 0.4 dB gain for WZ-encoded frames over a WZ video compression system without intra mode at rate 0.2 bits per pixel. Furthermore, in all the experiments our algorithm converges in 3 iterations.
  • Keywords
    convergence; data compression; discrete cosine transforms; image sequences; iterative methods; video coding; H.264 intra mode; Wyner-Ziv video compression; algorithm convergence; decoder; discrete cosine transform; encoding complexity; gain 0.4 dB; low-complexity iterative mode selection algorithm; video test sequences; Channel coding; Discrete cosine transforms; Entropy; Image coding; Iterative algorithms; Iterative decoding; Parity check codes; Partitioning algorithms; Turbo codes; Video compression; Entropy; Wyenr-Ziv coding; iterative algorithm; low complexity video compression; mode decision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1765-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2008.4711960
  • Filename
    4711960