• DocumentCode
    3514972
  • Title

    H.264 fast intra mode selection algorithm based on direction difference measure in the pixel domain

  • Author

    Wang, Li-li ; Siu, Wan-chi

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Kowloon
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    1037
  • Lastpage
    1040
  • Abstract
    In this paper, a fast mode decision algorithm for intra prediction in the H.264/AVC is proposed. We use the characteristics of each directional prediction mode to compute the strength of directional differences in the original pixel domain to find the minimal direction error. This is the first time reported in the literature that the intrinsic differences between the real-data and the predictors of modes are used to form an algorithm for mode decision. The approach allows us to select several better candidate modes for evaluation instead of using the full search. Experimental results show that the proposed method can achieve more than 80% reduction in computation with negligible degradation in rate-distortion performance, and the results are better than other algorithms available in the literature.
  • Keywords
    decision theory; optimisation; prediction theory; rate distortion theory; video coding; H.264 fast intra mode selection algorithm; H.264/AVC; direction difference measure; directional prediction mode; fast mode decision algorithm; minimal direction error; pixel domain; rate distortion optimization method; Arithmetic; Automatic voltage control; Computational complexity; Degradation; Lagrangian functions; Motion estimation; Optimization methods; Prediction algorithms; Rate-distortion; Video coding; H.264/AVC; RDO; fast mode decision; intra prediction; prediction error;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4959764
  • Filename
    4959764