• DocumentCode
    2033144
  • Title

    Fast Motion Estimation and Edge Information Inter-Mode Decision on H.264 Video Coding

  • Author

    Pan, Yu-Nan ; Tsai, Tsung-Han

  • Author_Institution
    Nat. Central Univ., Taoyuan
  • Volume
    2
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    In the upcoming video coding standard, MPEG-4 AVC/JVT/H.264, motion estimation (ME) is allowed to use seven kinds of block sizes to improve the rate-distortion performance. This new feature has achieved significant coding gain compared to coding a macroblock (MB) using fixed block size. However, ME is computational intensive with complexity increasing linearly to the number of allowed block sizes. In this paper, a combined fast motion estimation algorithm with Predict Hexagon Search (PHS) and Edge Information Mode Decision (E1MD) is proposed. EIMD uses the edge information to predict the best matching block size. It can determine the best MB type quickly. The PHS can search the candidate MV efficiently. The analysis results show that the speed improvement of our proposed algorithm over some popular fast motion estimation algorithm is about 2~15 times. Compared with JM10.2, the speed-up is marvelously enhanced as 20~40 times and can still keep good quality as JM10.2.
  • Keywords
    computational complexity; motion estimation; video coding; H.264 video coding; MPEG-4 AVC; block sizes; computational complexity; edge information intermode decision; motion estimation; predict hexagon search; rate-distortion performance; Automatic voltage control; Cities and towns; IEC standards; ISO standards; MPEG 4 Standard; Motion estimation; Prediction algorithms; Rate-distortion; Video coding; Video compression; H.264; edge difference; edge information mode decision; fast 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.2007.4379195
  • Filename
    4379195