• DocumentCode
    2801311
  • Title

    Applications of image understanding in semantics-oriented multimedia information retrieval

  • Author

    Zhang, Zhongfei Mark ; Srihari, Rohini K. ; Rao, Aibing

  • Author_Institution
    Dept. of Comput. Sci., State Univ. of New York, Binghamton, NY, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    93
  • Lastpage
    96
  • Abstract
    This paper focuses on research on the development of semantics-oriented multimedia information retrieval techniques. Semantics-oriented information retrieval addresses the effectiveness of the retrieval. With the goal of significantly improving retrieval precision and query capability, image understanding technologies are applied to develop effective retrieval techniques. Specifically, three techniques can developed by combining IU technologies (i.e., face detection) with other existing or developed techniques (i.e., text indexing, conventional similarity matching and face identification) for image retrieval. These techniques are evaluated to demonstrate the significance of the semantics-oriented multimedia information retrieval
  • Keywords
    image matching; image retrieval; multimedia databases; face detection; face identification; image retrieval; image understanding; query capability; semantics-oriented multimedia information retrieval; similarity matching; text indexing; Application software; Computer science; Databases; Face detection; Image retrieval; Indexing; Information retrieval; Law enforcement; Robustness; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Software Engineering, 2000. Proceedings. International Symposium on
  • Conference_Location
    Taipei
  • Print_ISBN
    0-7695-0933-9
  • Type

    conf

  • DOI
    10.1109/MMSE.2000.897197
  • Filename
    897197