• DocumentCode
    1741483
  • Title

    Group-of-frames/pictures color histogram descriptors for multimedia applications

  • Author

    Ferman, A. Mufit ; Krishnamachari, S. ; Tekalp, A. Murat ; Abdel-Mottaleb, Mohamed ; Mehrotra, R.

  • Author_Institution
    Dept. of Electr. Eng., Rochester Univ., NY, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    65
  • Abstract
    Joint representation of color-based features for multiple images or a video segment is an important task for visual information management systems. Generally, a key-frame or key-image is selected from such a group, and the color-related features of the entire collection are represented with those of the chosen sample. Such methods are highly dependent on the quality of the representative sample, and may lead to unreliable results. We present a set of histogram-based descriptors that reliably capture the color content of multiple images or video frames. These descriptors are defined for a group-of-frames (GoF) or a group-of-pictures (GoP). A single representation for the entire collection is obtained by combining individual frame or image histograms in various ways. We demonstrate the efficacy of GoF-histograms for video segment retrieval and the GoP-histograms for fast image search. This descriptor has been accepted to the Working Draft of MPEG-7, the evolving ISO standard for multimedia content description
  • Keywords
    ISO standards; content-based retrieval; image colour analysis; image representation; image sequences; multimedia databases; search problems; telecommunication standards; video databases; GoP-histograms; ISO standard; MPEG-7 Working Draft; color content representation; color histogram descriptors; color-based features; color-related features; fast image search; group-of-frames; group-of-pictures; histogram-based descriptors; joint representation; key-frame; key-image; multimedia applications; multimedia content description; multimedia databases; multiple images; video frames; video segment; video segment retrieval; visual information management systems; Content management; Histograms; Image databases; Image retrieval; Image segmentation; Information management; MPEG 7 Standard; Multimedia databases; Multimedia systems; Visual databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.900893
  • Filename
    900893