• DocumentCode
    45241
  • Title

    H.264/AVC to HEVC Video Transcoder Based on Dynamic Thresholding and Content Modeling

  • Author

    Peixoto, E. ; Shanableh, T. ; Izquierdo, Ebroul

  • Author_Institution
    Dept. de Eng. Eletr., Univ. de Brasilia, Brasilia, Brazil
  • Volume
    24
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan. 2014
  • Firstpage
    99
  • Lastpage
    112
  • Abstract
    The new video coding standard, High Efficiency Video Coding (HEVC), was developed to succeed the current standard, H.264/AVC, as the state of the art in video compression. However, there is a lot of legacy content encoded with H.264/AVC. This paper proposes and evaluates several transcoding algorithms from the H.264/AVC to the HEVC format. In particular, a novel transcoding architecture, in which the first frames of the sequence are used to compute the parameters so that the transcoder can learn the mapping for that particular sequence, is proposed. Then, two types of mode mapping algorithms are proposed. In the first solution, a single H.264/AVC coding parameter is used to determine the outgoing HEVC partitions using dynamic thresholding. The second solution uses linear discriminant functions to map the incoming H.264/AVC coding parameters to the outgoing HEVC partitions. This paper contains experiments designed to study the impact of the number of frames used for training in the transcoder. Comparisons with existing transcoding solutions reveal that the proposed work results in lower rate-distortion loss at a competitive complexity performance.
  • Keywords
    data compression; image sequences; transcoding; video coding; H.264/AVC; HEVC video transcoder algorithm; competitive complexity performance; content modeling; dynamic thresholding; high efficiency video coding; legacy content; linear discriminant functions; mode mapping algorithms; rate-distortion loss; video coding standard; video compression; Discrete cosine transforms; Measurement; Training; Transcoding; Transform coding; Vectors; Video coding; High Efficiency Video Coding (HEVC); machine learning; transcoding;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/TCSVT.2013.2273651
  • Filename
    6560375