• DocumentCode
    2339179
  • Title

    Content Based Hierarchical Fast Coding Unit Decision Algorithm for HEVC

  • Author

    Leng, Jie ; Sun, Lei ; Ikenaga, Takeshi ; Sakaida, Shinichi

  • Author_Institution
    Graduation Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
  • Volume
    1
  • fYear
    2011
  • fDate
    14-15 May 2011
  • Firstpage
    56
  • Lastpage
    59
  • Abstract
    Large coding unit which is also known as super macroblock, has already been adopted in the test model of next generation coding standard called high efficiency video coding. The coding unit which is larger than 16 × 16 and less than or equal to 64 × 64 provides great bit rate saving while the coding complexity increases dramatically. In this paper, we propose a fast coding unit decision algorithm in either frame level or coding unit level to accelerate encoding procedure. In frame level, by analyzing the utilization rate of coding unit in all depth, we skip several rarely used coding units in specified depth. In coding unit level, the neighbor and co-located coding unit information are referred for further skipping coding unit in unnecessary depth. Results show our proposed algorithm provides averagely 45% total encoding time reduction and negligible drop of rate distortion performance.
  • Keywords
    decision theory; video coding; bit rate saving; coding unit level; content based hierarchical fast coding unit decision algorithm; frame level; high efficiency video coding; next generation coding standard; rate distortion performance; skipping coding unit; super macroblock; Algorithm design and analysis; Bit rate; Copper; Encoding; Joints; PSNR; Video coding; CU; HEVC; Super Macroblock;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Signal Processing (CMSP), 2011 International Conference on
  • Conference_Location
    Guilin, Guangxi
  • Print_ISBN
    978-1-61284-314-8
  • Electronic_ISBN
    978-1-61284-314-8
  • Type

    conf

  • DOI
    10.1109/CMSP.2011.167
  • Filename
    5957372