• DocumentCode
    2406439
  • Title

    Coding mode determination by using fuzzy logic in H.264 motion estimation

  • Author

    Lee, Pei-Jun ; Chang, Han-Kui ; Huang, Shun-Hsing ; Wang, Wen-June

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chi Nan Univ., Nantou, Taiwan
  • fYear
    2009
  • fDate
    14-17 June 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Although exhaustively searching over all possible partition modes to choose the best coding mode for each macroblock improves the coding efficiency in H.264/AVC motion estimation, it has a lot of computational complexity. This paper proposes a fast algorithm to select the coding mode such that the number of candidate modes to be searched in motion estimation is significantly reduced and the coding picture quality is almost remained. The necessity of doing motion estimation in the current coding macroblock is determined by its previous corresponding macroblock information. If the motion estimation is necessary, fuzzy logic technique is used to classify the most appropriate mode for the motion estimation in H.264/AVC video coding. The simulation results show that the encoding time in the proposed algorithm is reduced to 55.7%~70% of the time searching for all coding modes exhaustively and the coded picture quality and bit rate are not influenced almost.
  • Keywords
    code standards; fuzzy logic; motion estimation; video coding; H.264-AVC motion estimation; coding mode determination; coding picture quality; encoding time; fuzzy logic technique; Automatic voltage control; Code standards; Computational complexity; Costs; Encoding; Fuzzy logic; Information processing; Motion estimation; Partitioning algorithms; Video coding; Fuzzy logic; H.264/AVC; mode decision; motion estimation; text characteristic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2009. NAFIPS 2009. Annual Meeting of the North American
  • Conference_Location
    Cincinnati, OH
  • Print_ISBN
    978-1-4244-4575-2
  • Electronic_ISBN
    978-1-4244-4577-6
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2009.5156486
  • Filename
    5156486