• DocumentCode
    3070702
  • Title

    An Efficient Mode Decision Algorithm Based on Dynamic Grouping and Adaptive Adjustment for H.264/AVC

  • Author

    Zhan, Bin ; Hou, Baochun ; Sotudeh, Reza

  • Author_Institution
    Univ. of Hertfordshire, Hatfield
  • fYear
    2007
  • fDate
    15-18 Dec. 2007
  • Firstpage
    785
  • Lastpage
    790
  • Abstract
    The rate distortion optimization (RDO) enabled mode decision (MD) is one of the most important techniques introduced by H.264/AVC. By adopting the exhaustive calculation of rate distortion, the optimal MD enhances the video encoding quality. However, the computational complexity is significantly increased, which is a key challenge for real-time and low power consumption applications. This paper presents a new fast MD algorithm for highly efficient H.264/AVC encoder. The proposed algorithm employs a dynamic group of candidate inter/intra modes to reduce the computational cost. In order to minimize the performance loss incurred by improper mode selection for the previously encoded frames, an adaptive adjustment scheme based on the undulation of bitrate and PSNR is suggested. Experimental results show that the proposed algorithm reduces the encoding time by 35% on average, and the loss of PSNR is usually limited in 0.1 dB with less than 1% increase of bitrate.
  • Keywords
    computational complexity; decision theory; optimisation; video coding; H.264/AVC; adaptive adjustment scheme; computational complexity; dynamic grouping; mode decision algorithm; rate distortion optimization; video encoding quality; Automatic voltage control; Bit rate; Computational complexity; Computational efficiency; Encoding; Energy consumption; Heuristic algorithms; PSNR; Performance loss; Rate-distortion; H.264/AVC; fast mode decision; rate distortion optimization; video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology, 2007 IEEE International Symposium on
  • Conference_Location
    Giza
  • Print_ISBN
    978-1-4244-1835-0
  • Electronic_ISBN
    978-1-4244-1835-0
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2007.4458143
  • Filename
    4458143