• DocumentCode
    3247684
  • Title

    Adaptive temporal scalable decoding scheme with temporal and spatial prediction method

  • Author

    Yu, Wenxin ; Jin, Xin ; Goto, Satoshi

  • Author_Institution
    Grad. Sch. of Inf., Waseda Univ., Kitakyushu, Japan
  • fYear
    2011
  • fDate
    7-9 Dec. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper introduces an adaptive temporal scalable decoding scheme with temporal and spatial prediction method. This method can be used to reduce the decoding time and reduce the decoding power consumption by skipping the decoding process of some frames and reducing the frame rate. With the spatial prediction and the temporal prediction, it is different from the certain frame skipping scheme in the temporal scalable decoding process with frame rate down conversion method (TSDP) [2]. This method chooses the skipping scheme which causes minimum cost by considering the video quality loss when the current frame is skipped and the movements of the current frame, so this method can be also used in the common video cases well. It is compared with the process which only used the temporal prediction method [3], the video quality (PSNR) is improved about 0.9~4.6 dB in the experimental common video cases by using the combined method. It can reduce the decoding time based on the number of the skipped frames, and can also get about 65% - 86% reduction which compares with the frame rate reduction in the experimental cases.
  • Keywords
    adaptive codes; decoding; power consumption; PSNR; TSDP; adaptive temporal scalable decoding; decoding power consumption; spatial prediction method; temporal prediction method; Equations; Image resolution; PSNR; Adaptive frame skipping; frame rate down conversion; spatial prediction; temporal scalable decoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communications Systems (ISPACS), 2011 International Symposium on
  • Conference_Location
    Chiang Mai
  • Print_ISBN
    978-1-4577-2165-6
  • Type

    conf

  • DOI
    10.1109/ISPACS.2011.6146179
  • Filename
    6146179