• DocumentCode
    2407701
  • Title

    Fast Mode Decision for H.264/AVG using Mode and RD Cost Prediction

  • Author

    Song-Hak, Ri ; Ostermann, Joern

  • Author_Institution
    Inst. fur Informationsverarbeitung, Leibniz Univ. Hannover, Germany
  • fYear
    2006
  • fDate
    10-11 Oct. 2006
  • Firstpage
    264
  • Lastpage
    269
  • Abstract
    In an H.264/AVC encoder, each macroblock can be coded in one of a large number of coding modes, which requires a huge computational effort. In this paper, we present a new method to speed up the mode decision process using RD cost prediction in addition to mode prediction. In general, video coding exploits spatial and temporal redundancies between video blocks, in particular temporal redundancy is a crucial key to compress a video sequence with little loss of image quality. The proposed method determines the best coding mode of a given macroblock by predicting the mode and its rate-distortion (RD) cost from neighboring MBs in time and space. Compared to the H.264/AVC reference software, the simulation results show that the proposed method can save about 60% of the number of RD cost computations resulting in up to 57% total encoding time reduction with up to 3.5% bit rate increase at the same PSNR.
  • Keywords
    image sequences; rate distortion theory; video coding; H.264/AVC encoder; RD cost prediction; coding modes; fast mode decision; image quality; mode decision process; mode prediction; rate-distortion cost; rate-distortion optimization; temporal redundancy; video coding; video sequence; Automatic voltage control; Computational efficiency; Computational modeling; Costs; Image coding; Image quality; Rate-distortion; Video coding; Video compression; Video sequences; H.264/AVC encoder; RD cost prediction; mode decision; mode prediction; rate-distortion optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Electronics, 2006. ICCE '06. First International Conference on
  • Conference_Location
    Hanoi
  • Print_ISBN
    1-4244-0568-8
  • Electronic_ISBN
    1-4244-0569-6
  • Type

    conf

  • DOI
    10.1109/CCE.2006.350815
  • Filename
    4156466