• DocumentCode
    2559986
  • Title

    Efficient Motion Estimation Accelerator for H.264/AVC

  • Author

    Kim, Jin Soo ; Hyun, Choong Jin ; Sunwoo, Myung H.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Ajou Univ., Suwon
  • fYear
    2006
  • fDate
    13-15 Nov. 2006
  • Firstpage
    107
  • Lastpage
    110
  • Abstract
    This paper presents efficient memory reuse and sub-pixel interpolation algorithms for ME (motion estimation)/MC (motion compensation) of H.264/AVC. ME is a computationally intensive task and its number of memory accesses is quite high. Moreover, sub-pixel interpolation requires many additions and multiplications. The proposed memory reuse algorithm utilizes the position similarity of the MVp (motion vector prediction) among neighboring Sub-MBs (macro blocks). It can reduce a large number of memory accesses and can save power consumption by sharing SR (search range) of the current block In addition, simplifying weights of sub-pixel interpolation can eliminate multiplications. Therefore, the proposed memory reuse and sub-pixel interpolation algorithms can be employed for low power video compression. In addition, the proposed ME accelerator uses the proposed algorithms. Performance comparisons show a significant improvement compared with existing ME accelerators.
  • Keywords
    interpolation; motion compensation; motion estimation; video coding; H.264-AVC; low power video compression; memory reuse algorithm; motion compensation; motion estimation accelerator; motion vector prediction; power consumption; sub-pixel interpolation algorithm; Automatic voltage control; Decoding; Energy consumption; Hardware; Interpolation; MPEG 4 Standard; Motion estimation; Signal processing algorithms; Strontium; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Solid-State Circuits Conference, 2006. ASSCC 2006. IEEE Asian
  • Conference_Location
    Hangzhou
  • Print_ISBN
    0-7803-9734-7
  • Electronic_ISBN
    0-7803-97375-5
  • Type

    conf

  • DOI
    10.1109/ASSCC.2006.357863
  • Filename
    4197602