• DocumentCode
    2689174
  • Title

    Fast Mode Decision for H.264 Based on Rate-Distortion Cost Estimation

  • Author

    Yao-Chung Lin ; Fink, T. ; Bellers, E.

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., CA, USA
  • Volume
    1
  • fYear
    2007
  • fDate
    15-20 April 2007
  • Abstract
    A fast mode decision algorithm for an H.264 encoder is proposed which reduces computation by using a statistical dependency of macroblock rate-distortion (RD) costs. The algorithm skips the motion estimation and/or intra prediction mode decision with an adaptive threshold. The simulation results show that the proposed algorithm achieves an almost 2X speedup with negligible degradation in coding efficiency.
  • Keywords
    motion estimation; rate distortion theory; statistical analysis; video coding; H.264 encoder; adaptive threshold; fast mode decision algorithm; intraprediction mode decision; macroblock rate-distortion cost estimation; motion estimation; statistical dependency; Automatic voltage control; Computational efficiency; Computational modeling; Cost function; Degradation; Feature extraction; Lagrangian functions; Motion estimation; Rate-distortion; Video coding; H.264/AVC; Video coding; mode decision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0727-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2007.366113
  • Filename
    4217285