• DocumentCode
    1657040
  • Title

    Fast inter mode decision using residual homogeneity in H.264/AVC

  • Author

    Zhiru Shi ; Fernando, W.A.C. ; Kondoz, A.M.

  • Author_Institution
    I-Lab. Multimedia Commun. Res., Univ. of Surrey, Guildford, UK
  • fYear
    2013
  • Firstpage
    1384
  • Lastpage
    1388
  • Abstract
    The H.264/AVC coding standard has achieved significant coding gain by using flexible block sizes inter prediction. However, the complexity of inter-mode decision is extremely high. In this paper, a fast inter-mode decision algorithm is presented by exploiting residual homogeneity for both macroblock and sub-macroblock levels. In this algorithm, the residual homogeneity indicators calculated in three directions are used to identify the block´s homogeneous characteristic. Normalized motion vector activity is also considered to improve the performance. The experimental results illustrate that the proposed algorithm achieves about 49% of computational complexity saving in terms of encoding time, while with negligible quality degradation, compared to H.264/AVC reference software JM.
  • Keywords
    computational complexity; decision theory; image motion analysis; video codecs; video coding; H.264/AVC coding standard; computational complexity; encoding time; flexible block sizes interprediction; intermode decision algorithm; intermode decision complexity; negligible quality degradation; normalized motion vector activity; performance improvement; residual homogeneity indicators; submacroblock level; Algorithm design and analysis; Correlation; Encoding; Prediction algorithms; Signal processing algorithms; Vectors; Video coding; H.264/AVC; inter mode decision; motion activity; residual homogeneous indicator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6637878
  • Filename
    6637878