• DocumentCode
    698188
  • Title

    A lossless re-encoding scheme for MPEG-1 video

  • Author

    Matsuda, Ichiro ; Wakabayashi, Kei ; Ikeda, Yu ; Itoh, Susumu

  • Author_Institution
    Dept. of Electr. Eng., Sci. Univ. of Tokyo, Noda, Japan
  • fYear
    2009
  • fDate
    24-28 Aug. 2009
  • Firstpage
    1834
  • Lastpage
    1838
  • Abstract
    This paper proposes a lossless re-encoding scheme for video data which are already encoded by the MPEG-1 video coding standard. In order to avoid any additional loss of quality, quantized DCT coefficients and motion vectors extracted from the original MPEG-1 bitstream are losslessly re-encoded using an adaptive arithmetic coder. Probability models used in the arithmetic coder are iteratively optimized so that the number of coding bits required for the whole group of pictures (GOP) can be a minimum. Furthermore, H.264-like block-adaptive intra prediction is introduced into not only I pictures but also P and B pictures to exploit inter-block correlations of the DCT coefficients. Simulation results indicate that the proposed scheme can reduce the coding rate of monochrome MPEG-1 video by 12-22 %.
  • Keywords
    data compression; discrete cosine transforms; iterative methods; motion estimation; optimisation; probability; quantisation (signal); video coding; B-pictures; GOP; H.264-like block-adaptive intraprediction; I-pictures; MPEG-1 bitstream; MPEG-1 video coding standard; P-pictures; adaptive arithmetic coder; coding bits; coding rate reduction; group-of-pictures; interblock correlations; iteratively optimized probability models; lossless re-encoding scheme; losslessly re-encoded videos; monochrome MPEG-1 video; motion vector extraction; quantized DCT coefficients; video data; video quality loss avoidance; Discrete cosine transforms; Encoding; Quantization (signal); Standards; Transform coding; Vectors; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2009 17th European
  • Conference_Location
    Glasgow
  • Print_ISBN
    978-161-7388-76-7
  • Type

    conf

  • Filename
    7077763