• DocumentCode
    3232997
  • Title

    Highly optimized intra prediction architecture for high resolution application

  • Author

    Choi, Jinha ; Yu, Jeyun ; Kim, Jaeseok

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
  • fYear
    2010
  • fDate
    6-9 Dec. 2010
  • Firstpage
    390
  • Lastpage
    393
  • Abstract
    This paper proposes a new intra prediction architecture for high resolution applications. The standard intra prediction has a data dependency for the pipelined processing. To enable the pipelined intra prediction architecture, processing order changing methods and additional processing schedulers are proposed. However, previous methods are not considered for the parallel processing which is a key issue of high resolution applications, such as High Definition videos or Ultra High Definition videos. The proposed intra prediction architecture has a new scheduler and two difference calculation processing units for the high performance parallel processing in intra 4×4 luminance prediction and intra 8x8 luminance prediction. The proposed architecture reduces processing time by about 43.40% compared with the standard and by about 20.10% compared with previous architecture.
  • Keywords
    high definition video; parallel processing; pipeline processing; video coding; H.264/AVC; data dependency; high resolution application; luminance prediction; order changing methods; parallel processing; pipelined intra prediction architecture; pipelined processing; processing schedulers; ultra high definition videos; Computer architecture; Discrete cosine transforms; Encoding; Hardware; Mathematical model; Parallel processing; Pixel; H.264/AVC; Hardware Architecture; Intra Prediction; Parallel Processing; Video Codec;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (APCCAS), 2010 IEEE Asia Pacific Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-7454-7
  • Type

    conf

  • DOI
    10.1109/APCCAS.2010.5775074
  • Filename
    5775074