• DocumentCode
    1944070
  • Title

    Multimedia semantic features and image content description

  • Author

    Cavazza, Marc ; Green, Roger ; Palmer, Ian

  • Author_Institution
    Dept. of Electron. Imaging & Media Commun., Bradford Univ., UK
  • fYear
    1998
  • fDate
    12-15 Oct 1998
  • Firstpage
    39
  • Lastpage
    46
  • Abstract
    Content based indexing and retrieval of images and video requires a proper semantic description for image content. The paper discusses the mapping of high level, application specific features to the visual primitives that are accessible through image processing techniques. A major difficulty is that there are currently no established methodologies for describing the contents of an image in terms of semantic features, and we suggest that semiotic approaches could be adapted to the task of image description in limited areas of expertise. After reviewing current trends in the mapping of high level to low level features, we present preliminary results that suggest a possible strategy for mapping semiotic descriptions to image processing primitives
  • Keywords
    document image processing; indexing; information retrieval; multimedia computing; visual databases; application specific features; content based indexing; image content description; image description; image processing primitives; image processing techniques; image retrieval; multimedia semantic features; semantic description; semiotic approaches; semiotic descriptions; visual primitives; Artificial intelligence; Cultural differences; Electrical capacitance tomography; History; Image analysis; Image color analysis; Image retrieval; MPEG 7 Standard; Natural languages; Ontologies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Modeling, 1998. MMM '98. Proceedings. 1998
  • Conference_Location
    Lausanne
  • Print_ISBN
    0-8186-8911-0
  • Type

    conf

  • DOI
    10.1109/MULMM.1998.722973
  • Filename
    722973