• DocumentCode
    3473706
  • Title

    Computational Complexity Scalable ME Algorithm and Architecture

  • Author

    Feng Liu ; Yiqi Zhuang ; Dai, Guoding

  • Author_Institution
    Microprocessor Res. & Dev. Center, Peking Univ., Beijing
  • fYear
    2006
  • fDate
    2006
  • Firstpage
    2022
  • Lastpage
    2024
  • Abstract
    A computational complexity scalable block-matching algorithm (CCS-BMA) is presented in this paper for the motion estimation of video encoding. The CCS-BMA shares the feature of fast convergence in TSS and the advantage of center bias searching in FSS and DS. With the uniform shape of searching pattern, the VLSI implementation of the CCS-BMA is more convenient than that of other fast motion estimation algorithms. The scalability of computational payload can be achieved through searching steps adjustment and block pixel sub-sampled. The proposed algorithm and architecture are suitable for low power implementation of video encoding that needs flexible scalable capability
  • Keywords
    VLSI; computational complexity; low-power electronics; motion estimation; video coding; VLSI implementation; block pixel sub-sampling; motion estimation; scalable block-matching algorithm; searching pattern uniform shape; searching step adjustment; video encoding; Computational complexity; Computer architecture; Convergence; Encoding; Frequency selective surfaces; Motion estimation; Scalability; Shape; Very large scale integration; Video sharing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Solid-State and Integrated Circuit Technology, 2006. ICSICT '06. 8th International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    1-4244-0160-7
  • Electronic_ISBN
    1-4244-0161-5
  • Type

    conf

  • DOI
    10.1109/ICSICT.2006.306581
  • Filename
    4098612