• DocumentCode
    870948
  • Title

    An Efficient Intermode Decision Algorithm Based on Motion Homogeneity for H.264/AVC

  • Author

    Liu, Zhi ; Shen, Liquan ; Zhang, Zhaoyang

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai
  • Volume
    19
  • Issue
    1
  • fYear
    2009
  • Firstpage
    128
  • Lastpage
    132
  • Abstract
    The latest video coding standard H.264/AVC significantly outperforms previous standards in terms of coding efficiency. H.264/AVC adopts variable block sizes ranging from 4 times 4 to 16 times 16 in inter frame coding, and achieves significant gain in coding efficiency compared to coding a macroblock (MB) using regular block size. However, this new feature causes extremely high computation complexity when rate-distortion optimization (RDO) is performed using the scheme of full mode decision. This paper presents an efficient intermode decision algorithm based on motion homogeneity evaluated on a normalized motion vector (MV) field, which is generated using MVs from motion estimation on the block size of 4 times 4. Three directional motion homogeneity measures derived from the normalized MV field are exploited to determine a subset of candidate intermodes for each MB, and unnecessary RDO calculations on other intermodes can be skipped. Experimental results demonstrate that our algorithm can reduce the entire encoding time about 40% on average, without any noticeable loss of coding efficiency.
  • Keywords
    computational complexity; motion estimation; video coding; H.264-AVC; computation complexity; encoding time; interframe coding; intermode decision algorithm; macroblock; motion estimation; motion homogeneity; motion vector field; rate-distortion optimization; variable block sizes; video coding standard; H.264/AVC; intermode decision; motion homogeneity; motion vector field; rate-distortion optimization (RDO);
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/TCSVT.2008.2005804
  • Filename
    4630759