• DocumentCode
    1871809
  • Title

    Fast motion estimation algorithm using unequal search effort for H.264|MPEG-4 AVC encoder

  • Author

    Zhao, Yinqing ; Panusopone, Krit ; Wang, Limin

  • Author_Institution
    Adv. Technol. Dept., Motorola, Inc., San Diego, CA
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1996
  • Lastpage
    1999
  • Abstract
    H.264IMPEG-4 AVC allows multiple reference frames and multiple partition types to improve the coding performance at the expense of much higher computation complexity. This paper proposes a fast motion estimation (ME) algorithm to reduce search complexity for this demanding configuration. Our experimental results show that the partition type which gives the lowest matching cost for the reference frame closest to the current picture in temporal domain is likely to be the best partition type for all reference frames. Based on this finding, the proposed method performs a less complicated search effort for the other partition types on the remaining reference frames to obtain significant savings in search complexity. This approach can be easily modified to support any existing fast search algorithms. Simulation results show the proposed algorithm significantly reduces the overall motion search complexity and at the same time, maintains minimum coding performance degradation.
  • Keywords
    code standards; computational complexity; data compression; motion estimation; search problems; video coding; H.264IMPEG-4 AVC encoder; computation complexity; fast motion estimation algorithm; reference frame; search complexity; unequal search effort; Automatic voltage control; Computer networks; Costs; Degradation; High performance computing; Home computing; Motion analysis; Motion estimation; Partitioning algorithms; Software algorithms; Motion analysis; encoding; video codecs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1765-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2008.4712175
  • Filename
    4712175