• DocumentCode
    2105991
  • Title

    All Zero Block Detection Based on Statistics for AVS-M Intra Frame Prediction

  • Author

    Wu, Yun ; Zhao, Yong ; Wang, Xuemin ; Yuan, Yule ; Shen, Ling ; Yu, Chunyu

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Guizhou Univ., Guiyang
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    566
  • Lastpage
    569
  • Abstract
    AVS-M is a standard for mobile video transmission of AVS series of standards for audio and video compression in China. AVS-M has nine intra prediction modes just as the widely studied H.264. Since H.264 and AVS-M has DCT transform for 4times4 blocks, a similar all zero block detecting for H.264 has also been proposed for AVS-M. However, the technique may not the best one for all zero detection in practice as discovered in our simulation. We proposed, in this paper, a new technique for detecting all zero block for AVS-M based on statistics and we found this technique is very simple and efficient. Based on this technique, early termination for intra prediction is carried out and computation is substantially reduced. The simulation results show that the technique can speed up the encoding process without loss of coding PSNR and bitrate efficiency.
  • Keywords
    audio coding; data compression; statistical analysis; video coding; AVS-M intraframe prediction; H.264 standard; all zero block detection; audio compression; mobile video transmission; statistics; video compression; Automatic voltage control; Computational modeling; Degradation; Discrete cosine transforms; Encoding; Information technology; PSNR; Predictive models; Statistics; Video compression; AVS-M; All Zero Block; Intra Frame Prediction; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3505-0
  • Type

    conf

  • DOI
    10.1109/IITA.Workshops.2008.253
  • Filename
    4732002