• DocumentCode
    1194170
  • Title

    A Low-Power and Bandwidth-Efficient Motion Estimation IP Core Design Using Binary Search

  • Author

    Wang, Shih-Hao ; Tai, Shih-Hsin ; Chiang, Tihao

  • Author_Institution
    Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu
  • Volume
    19
  • Issue
    5
  • fYear
    2009
  • fDate
    5/1/2009 12:00:00 AM
  • Firstpage
    760
  • Lastpage
    765
  • Abstract
    A new architecture design for motion estimation using binary matching criterion is proposed to achieve low power and bus bandwidth efficiency. Low power and high bus bandwidth efficiency are the two key issues for portable video applications. To address such issues, we first study an efficient algorithm called all binary motion estimation (ABME), and analyze its architecture issues in operational flow and bus access. Then, we propose an architecture for ABME with four new features: (1) macroblock level pre-processing; (2) efficient binary pyramid search structure; (3) parallel processing of 8 x 8 and 16 x 16 block searches; (4) parallel processing of bi-directional search. Such architecture leads to a superior performance in bus access, speed, and power. Our experiments show that the power consumption is as low as 763 mu W for IPPPP CIF 30 frames/s and 896 muW for IPBPB CIF 30 frames/s. The bus bandwidth savings are 54.3% for P-frame search and 67.1% for B-frame search.
  • Keywords
    IP networks; motion estimation; multimedia communication; all binary motion estimation; bandwidth-efficient motion estimation IP core design; binary matching criterion; binary search; block searches; efficient binary pyramid search structure; macroblock level pre-processing; parallel processing; portable video applications; power consumption; Bandwidth efficient; MPEG-4; low power; motion estimation (ME);
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/TCSVT.2009.2017416
  • Filename
    4801634