• DocumentCode
    3094905
  • Title

    A Self-Adaptive and Fast Motion Estimation Search Method for H.264/AVC

  • Author

    Liu, Pengyu ; Jia, Kebin

  • Author_Institution
    Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    15-17 Oct. 2010
  • Firstpage
    651
  • Lastpage
    654
  • Abstract
    H.264/AVC is the outstanding and significant video compression standard developed by ITU-T/ISO/IEC Joint Video Team. Motion estimation (ME) plays a key role in H.264/AVC, it concerns greatly on computational complexity especially when using the full search (FS) algorithm. Although many fast ME algorithms have been proposed to reduce the huge calculation complexity instead of FS, the ME still can not satisfy the critical real-time application´s needs. In this paper, a fast integer pixel variable block ME algorithm based on JVT which accepted UMHexagonS algorithm is presented for H.264/AVC encoder. With special considerations on the motion activity of the current macro-block, several adaptive search strategies have been utilized to significantly improve the video coding performance. The simulation results shows that the proposed algorithm maintains an unnoticeable quality loss in terms of PSNR on average compared with FS and reduces nearly 20% ME time compared with UMHexagonS while maintaining coding efficiency.
  • Keywords
    computational complexity; data compression; motion estimation; search problems; video coding; H.264/AVC; JVT; UMHexagonS algorithm; computational complexity; fast motion estimation search method; full search algorithm; motion estimation algorithm; video coding; video compression standard; Algorithm design and analysis; Automatic voltage control; Classification algorithms; Motion estimation; Prediction algorithms; Signal processing algorithms; Software algorithms; H.264/AVC; Motion estimation; UMHexagonS; macro-block;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2010 Sixth International Conference on
  • Conference_Location
    Darmstadt
  • Print_ISBN
    978-1-4244-8378-5
  • Electronic_ISBN
    978-0-7695-4222-5
  • Type

    conf

  • DOI
    10.1109/IIHMSP.2010.165
  • Filename
    5636210