• DocumentCode
    3343702
  • Title

    Transcoding from H.264/AVC to awavelet-based scalable video codec

  • Author

    Peixoto, Eduardo ; Zgaljic, Toni ; Izquierdo, Ebroul

  • Author_Institution
    Queen Mary, Univ. of London, London, UK
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    2845
  • Lastpage
    2848
  • Abstract
    Scalable Video Coding (SVC) enables low complexity adaptation according to transmission and display requirements, providing an efficient solution for video content delivery through heterogeneous networks. However, legacy video and most commercially available content capturing devices use conventional non-scalable coding, e.g., H.264/AVC, to compress and store video streams. As a consequence and in order to fully exploit the advantages of SVC technology, efficient transcoding from conventionally coded to scalable content is urgently needed. In this paper an efficient transcoder from H.264/AVC to a wavelet-based SVC is proposed. The complexity of the transcoder is kept very low by using information extracted directly from the decoded H.264/AVC bitstream, such as motion vectors and the presence of residual data. The proposed approach has been tested with well known benchmarking sequences, showing a good performance in terms of decoded video quality and system complexity.
  • Keywords
    image sequences; transcoding; video coding; video streaming; wavelet transforms; H.264/AVC bitstream; SVC; benchmarking sequence; content capturing device; decoded video quality; heterogeneous networks; legacy video; scalable video coding; transcoding; video content delivery; video stream; wavelet-based scalable video codec; Automatic voltage control; Cities and towns; Codecs; Complexity theory; PSNR; Transcoding; Video coding; Scalable Video Coding; Transcoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5652048
  • Filename
    5652048