• DocumentCode
    2818376
  • Title

    Adaptive intra modes reduction by clustering for H.264/AVC

  • Author

    Zhu, Weijia ; Ding, Wenpeng ; Shi, Yunhui ; Sun, Yanfeng ; Yin, Baocai

  • Author_Institution
    Beijing Key Lab. of Multimedia & Intell. Software Technol., Beijing Univ. Of Technol., Beijing, China
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    1665
  • Lastpage
    1668
  • Abstract
    H.264/AVC adopts intra coding technique to reduce spatial redundancies. In order to achieve better coding performance, there are nine candidate modes for 4×4 block unit to be selected by Rate-Distortion Optimization(RDO) process in the H.264/AVC encoder-side. However, too many intra candidate modes undoubtedly increase the transmitted bits that represent them. To solve this problem, a novel method for reducing the number of intra modes is proposed in this paper. For each 4×4 block, our algorithm can cluster the nine candidate modes into several groups and selects one mode from each group as a representative of all the modes in this group, so the cost of transmission can be reduced significantly because of the reduction of number of candidate modes. Experimental results show that the proposed method achieves 3.2% bit-rate reduction on average for various video sequences. The improvement of coding performance can be up to 7% bit-rate reduction at low bit rate, averagely.
  • Keywords
    image sequences; optimisation; pattern clustering; performance evaluation; rate distortion theory; redundancy; video coding; H.264/AVC clustering; H.264/AVC encoder; adaptive intramode reduction; bit-rate reduction; coding performance improvement; intra coding technique; rate-distortion optimization; spatial redundancy reduction; video sequences; Bit rate; Clustering algorithms; Conferences; Encoding; Image coding; Prediction algorithms; Video coding; H.264; clustering; intra modes reduction; intra prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6115775
  • Filename
    6115775