• DocumentCode
    2936116
  • Title

    MPEG-7 visual signature tools

  • Author

    Bober, Miroslaw ; Brasnett, Paul

  • Author_Institution
    Visual & Sensing Div., Mitsubishi Electr. R&D Center Eur. (MERCE), Guildford, UK
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    1540
  • Lastpage
    1543
  • Abstract
    The MPEG-7 standard offers a comprehensive set of audiovisual content Description Tools to support applications enabling effective and efficient access to multimedia content. MPEG recently identified a need for a set of new, unique descriptors necessary for detection of duplicate or derived visual media content. The MPEG-7 Visual Signature Tools are characterized by efficient detection at low false positive rates, high robustness and enable very fast searching. This paper outlines application scenarios for visual signatures (also known as fingerprints or robust hashes) and discusses the requirements, evaluation process and selection methodology employed by MPEG. The Image Signature technology selected by MPEG and its performance is also described and the latest work on Video Signatures and associated standardisation time-line is summarized.
  • Keywords
    content management; fingerprint identification; multimedia systems; video coding; MPEG-7 visual signature tool; audiovisual content description tool; duplicate detection; false positive rate; fingerprint hashes; image signature technology; multimedia content; Advertising; Europe; Facebook; Fingerprint recognition; Joining processes; MPEG 7 Standard; Monitoring; Research and development; Robustness; Watermarking; Image Fingerprinting; MPEG-7 Standard; Visual Signature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1945-7871
  • Print_ISBN
    978-1-4244-4290-4
  • Electronic_ISBN
    1945-7871
  • Type

    conf

  • DOI
    10.1109/ICME.2009.5202798
  • Filename
    5202798