• DocumentCode
    548187
  • Title

    Enhanced Low Complex Cost Function for H.264/AVC Intra Mode Decision

  • Author

    Sarwer, Mohammed Golam ; Wu, Q. M Jonathan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Windsor, Windsor, ON, Canada
  • Volume
    1
  • fYear
    2011
  • fDate
    14-15 May 2011
  • Firstpage
    46
  • Lastpage
    50
  • Abstract
    In order to reduce the computation of rate-distortion optimization (RDO) module of H.264/AVC intra encoder, this paper proposes an enhanced low complexity cost function. The enhanced cost function uses sum of absolute Hadamard-transformed differences (SATD) and mean absolute deviation of the residual block to estimate distortion part of the cost function. A threshold based large coefficients count is also used for estimating the bit-rate part. The proposed method improves the rate-distortion performance of the conventional fast cost functions while maintaining low complexity requirement. As the results, the encoding process can be significantly accelerated with use of the proposed cost function. Simulation results confirm that the proposed method reduces about 85% of computation of original encoder with negligible rate-distortion performance degradation.
  • Keywords
    Hadamard transforms; optimisation; video coding; H.264-AVC intra mode decision; bit-rate estimation; low complex cost function enhancement; low complexity requirement; mean absolute deviation; rate-distortion optimization module; residual block; sum of absolute Hadamard-transformed differences; threshold based large coefficients count; video coding standard; Bit rate; Complexity theory; Cost function; Discrete cosine transforms; Encoding; Rate-distortion; H.264/AVC; intra prediction; rate-distortion optimization; sum of absolute transform differences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Signal Processing (CMSP), 2011 International Conference on
  • Conference_Location
    Guilin, Guangxi
  • Print_ISBN
    978-1-61284-314-8
  • Electronic_ISBN
    978-1-61284-314-8
  • Type

    conf

  • DOI
    10.1109/CMSP.2011.17
  • Filename
    5957370