• DocumentCode
    590278
  • Title

    Uniform probability model for deriving intra prediction angular table in High Efficiency Video Coding

  • Author

    Guichun Li ; Lingzhi Liu ; Nam Ling ; Jianhua Zheng ; Zhang, Peng

  • Author_Institution
    Dept. of Comput. Eng., Santa Clara Univ., Santa Clara, CA, USA
  • fYear
    2012
  • fDate
    27-30 Nov. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    High Efficiency Video Coding (HEVC) is the latest international standard of video coding under development. In HEVC, the new technology of intra prediction, Unified Directional Intra (UDI), has shown significant improvement on coding performance. Comparing to the intra prediction of H.264/AVC, significant performance improvement was observed for all intra configured tests. In the HEVC Test Model (HM), a predefined angular table is used for generating predicted sample values of UDI. However, how the table is obtained was not clearly presented in the literature. This paper gives a detailed derivation and explanation based on a novel uniform probability model. With this novel model, angular table derivation method was investigated and the selection of table entries used in UDI prediction is well explained. Simulation results show that using the improved angular table proposed in this paper, Bjontegaard Delta (BD)-rate improvement is achieved for sequences with large amount of various textures, in both all intra high efficiency and low complexity configurations.
  • Keywords
    probability; video coding; BD; Bjøntegaard delta-rate improvement; H.264-AVC; HEVC test model; HM; UDI prediction; high efficiency video coding; intraprediction angular table derivation method; unified directional intraprediction; uniform probability model; Collaboration; Encoding; Joints; Predictive models; Transform coding; Video coding; HEVC; UDI; Video coding; angular prediction; angular table; intra prediction; visual communications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2012 IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-4405-0
  • Electronic_ISBN
    978-1-4673-4406-7
  • Type

    conf

  • DOI
    10.1109/VCIP.2012.6410752
  • Filename
    6410752