• DocumentCode
    2576680
  • Title

    Improving H.264 performances by quantization of motion vectors

  • Author

    Corrado, S. ; Agostini, M.A. ; Cagnazzo, M. ; Antonini, M. ; Laroche, G. ; Jung, J.

  • Author_Institution
    Lab. I3S, UNSA, Sophia Antipolis, France
  • fYear
    2009
  • fDate
    6-8 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The coding resources used for motion vectors (MVs) can attain quite high ratios even in the case of efficient video coders like H.264, and this can easily lead to suboptimal rate-distortion performance. In a previous paper, we proposed a new coding mode for H.264 based on the quantization of motion vectors (QMV). We only considered the case of 16 times 16 partitions for motion estimation and compensation. That method allowed us to obtain an improved trade-off in the resource allocation between vectors and coefficients, and to achieve better rate-distortion performances with respect to H.264. In this paper, we build on the proposed QMV coding mode, extending it to the case of macroblock partition into smaller blocks. This issue requires solving some problems mainly related to the motion vector coding. We show how this task can be performed efficiently in our framework, obtaining further improvements over the standard coding technique.
  • Keywords
    motion compensation; motion estimation; rate distortion theory; vector quantisation; video coding; H.264; coding resources; motion compensation; motion estimation; motion vectors quantization; rate distortion; video coding; Costs; Decoding; Instruments; Motion estimation; Open loop systems; Rate-distortion; Resource management; Vector quantization; Video coding; Wavelet analysis;
  • 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.2009.5167401
  • Filename
    5167401