• DocumentCode
    69135
  • Title

    Fast mode decision scheme using sum of the absolute difference-based Bayesian model for the H.264/AVC video standard

  • Author

    Jongho Kim ; Jong-Hyeok Lee ; Byung-Gyu Kim ; Jin Soo Choi

  • Author_Institution
    Realistic Broadcasting Media Res. Dept., Electron. & Telecommun. Res. Inst., Daejeon, South Korea
  • Volume
    8
  • Issue
    5
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    530
  • Lastpage
    539
  • Abstract
    H.264/AVC is the most widely used recent video coding standard. It provides a high encoding efficiency but it also has a high computational complexity. The block mode decision for motion estimation is the most time-consuming procedure. A complexity reduction method for the block mode decision procedure is proposed. To reduce the complexity, all block modes are divided into several candidate block mode groups. The sum of the absolute difference (SAD) value, including the motion cost of each mode, is used as a classification feature to divide the block modes into several groups. A refinement method using a Bayesian model based on the average SAD value is also proposed. For B-slices, a differential block mode allocation method is suggested. A different number of candidate modes are allocated for lists (list 0, list 1) based on the SAD value of each list after 16 × 16 block motion estimation. The proposed method achieves an average time-saving for the total encoding time of 65% for IPPP and 66.01% for the hierarchical-B structure.
  • Keywords
    Bayes methods; block codes; computational complexity; decision theory; image classification; motion estimation; video coding; Bayesian model; H.264-AVC video coding standard; IPPP; SAD value; block mode decision procedure; block motion estimation; complexity reduction method; computational complexity; differential block mode allocation method; fast mode decision scheme; hierarchical-B-slices structure; image classification; refinement method; sum of the absolute difference value;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9675
  • Type

    jour

  • DOI
    10.1049/iet-spr.2013.0179
  • Filename
    6843753