• DocumentCode
    2048985
  • Title

    Fast Mode Decision for Intra Prediction in H.264/AVC Encoder

  • Author

    La, Byeongdu ; Eom, Minyoung ; Choe, Yoonsik

  • Author_Institution
    Yonsei Univ., Seoul
  • Volume
    5
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    The H.264/AVC video coding standard uses the rate distortion optimization (RDO) method to improve the compression performance in the intra prediction. Whereas the computational complexity is increased comparing with previous standards due to this method, even though this standard selects the best coding mode for the current macroblock. In this paper, a fast intra mode decision algorithm for H.264/AVC encoder based on dominant edge direction (DED) is proposed. The algorithm uses the approximation of discrete cosine transform (DCT) coefficient formula. By detecting the DED before intra prediction, 3 modes instead of 9 modes are chosen for RDO calculation to decide the best mode in the 4 times 4 luma block. For the 16 times 16 luma and the 8 times 8 chroma, instead of 4 modes, only 2 modes are chosen. Experimental results show that the computation time of the proposed algorithm is decreased to about 71% of the full search method in the reference code with negligible quality loss.
  • Keywords
    code standards; data compression; decoding; discrete cosine transforms; optimisation; rate distortion theory; video coding; DCT coefficient; H.264/AVC video coding standard; computational complexity; discrete cosine transform; dominant edge direction; intra mode decision algorithm; rate distortion optimization; Automatic voltage control; Computational complexity; Computational efficiency; Discrete cosine transforms; Histograms; Information technology; Motion compensation; Optimization methods; Rate-distortion; Video coding; H.264; Intra-prediction; Mode Decision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2007. ICIP 2007. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1437-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2007.4379830
  • Filename
    4379830