• DocumentCode
    2336856
  • Title

    Indexing of compressed video: Methods, challenges, applications

  • Author

    Benois-Pineau, Jenny

  • Author_Institution
    LABRI, Univ. of Bordeaux, Bordeaux, France
  • fYear
    2010
  • fDate
    7-10 July 2010
  • Firstpage
    3
  • Lastpage
    4
  • Abstract
    With the fastly developing standards for video compression, the availability of the video content at a large scale in the compressed form has become an everyday reality. Compressed video streams whatever is the compression standard contain primary information which without full decompression of the content can serve for its indexing and retrieval. This primary features optimized for the compression purposes are very often noisy and subject to compression artefacts. Hence their re-use for analysis and indexing purposes remains a challenge. In this paper we present the methodology which starting from the early low - resolution standards of MPEG family up to the new high-quality-high definition video compression approaches aims at answering the same question: how to re-use noisy primary features for fast and efficient video indexing.
  • Keywords
    data compression; indexing; optimisation; video coding; video retrieval; video streaming; MPEG; feature optimization; high quality high definition video compression; video content; video indexing; video retrieval; video stream; compressed-domain features‥; video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing Theory Tools and Applications (IPTA), 2010 2nd International Conference on
  • Conference_Location
    Paris
  • ISSN
    2154-5111
  • Print_ISBN
    978-1-4244-7247-5
  • Type

    conf

  • DOI
    10.1109/IPTA.2010.5586830
  • Filename
    5586830