• DocumentCode
    669779
  • Title

    Fast mode and depth decision HEVC intra prediction based on edge detection and partitioning reconfiguration

  • Author

    Gaoxing Chen ; Lei Sun ; Zhenyu Liu ; Ikenaga, Takeshi

  • Author_Institution
    Grad. Sch. of IPS, Waseda Univ., Kitakyushu, Japan
  • fYear
    2013
  • fDate
    12-15 Nov. 2013
  • Firstpage
    38
  • Lastpage
    41
  • Abstract
    High Efficiency Video Coding (HEVC), a successor to H.264, is the next generation video compression standard. To enhance the coding efficiency of video frames, 35 intra prediction modes adopted in Prediction Unit (PU) from 4×4 to 64×64 of HEVC. However the improvement is based on the cost of rapid increased complexity. This paper proposes a fast mode and depth decision algorithm based on edge detection and reconfiguration to alleviate the large computation complexity in intra prediction with the trivial degradation in the accuracy. In mode decision, pixel gradient statistics (PGS) and mode refinement (MR) is proposed. PGS use pixel gradient information to assist prediction mode selection after Rough Mode Decision (RMD). MR utilizes the neighboring mode information to select most probable mode (MPM). In depth decision, unit partitioning reconfiguration (UPR) is proposed. It exchanged the original partitioning order in a more reasonable structure, utilizes detecting the smoothness of coding unit to decide the prediction depth. Smoothness detecting is based on PGS result. Experiment result shows that the proposed method performs about 42.84% time saving with little degradation (BD-rate increase 0.61% and BDPSNR reduce 0.041db) in the coding gain. Comparing with previous work, it achieves more time saving and lesser efficiency loss.
  • Keywords
    edge detection; gradient methods; image segmentation; statistical analysis; video coding; H.264 video coding; HEVC intraprediction; depth decision algorithm; edge detection; fast mode algorithm; high efficiency video coding; mode refinement; most probable mode; next generation video compression standard; pixel gradient statistics; rough mode decision; unit partitioning reconfiguration; Complexity theory; Encoding; Equations; Mathematical model; Partitioning algorithms; Prediction algorithms; Video coding; HEVC; gradient; intra prediction; mode decision; partitioning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communications Systems (ISPACS), 2013 International Symposium on
  • Conference_Location
    Naha
  • Print_ISBN
    978-1-4673-6360-0
  • Type

    conf

  • DOI
    10.1109/ISPACS.2013.6704518
  • Filename
    6704518