• DocumentCode
    3386145
  • Title

    Prediction-based macroblock mode mapping for video coding

  • Author

    Zhang, Jun ; Li, Xiang ; Ling, Nam ; Zheng, Jianhua ; Zhang, Philipp

  • Author_Institution
    Dept. of Comput. Eng., Santa Clara Univ., Santa Clara, CA, USA
  • fYear
    2010
  • fDate
    May 30 2010-June 2 2010
  • Firstpage
    385
  • Lastpage
    388
  • Abstract
    This paper describes an efficient entropy coding method for macroblock modes in H.264 based on the statistical information of the previous frame. H.264/MPEG-4 AVC video coding introduces some new macroblock sub-types (modes) that allow for better rate-distortion (R-D) coding. These modes are coded with a fixed mapping table when context adaptive variable length coding (CAVLC) is used. Based on our experiments on the sequences recommended by the Video Coding Experts Group (VCEG) common test conditions, the average number of bits to code those modes is 15% of that of the total bits for coding P-frames. The proposed method maps the more frequently used modes to shorter codeword instead of using a fixed mapping table, and reduces about 10-20% of the bits used for coding the inter modes. This method can be applied to other syntax elements, e.g. coded block pattern (CBP), as well.
  • Keywords
    adaptive codes; data compression; variable length codes; video coding; CAVLC; H.264 AVC; MPEG-4 AVC; context adaptive variable length coding; prediction-based macroblock mode mapping; rate distortion coding; video coding; Automatic voltage control; Entropy coding; MPEG 4 Standard; Prediction algorithms; Quadratic programming; Quantization; Rate-distortion; Statistical distributions; Testing; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-5308-5
  • Electronic_ISBN
    978-1-4244-5309-2
  • Type

    conf

  • DOI
    10.1109/ISCAS.2010.5537748
  • Filename
    5537748