• DocumentCode
    3002011
  • Title

    Semantic Research on Content-Based Image Retrieval

  • Author

    Chen, Zhijun

  • Author_Institution
    Fac. of Math. & Comput. Sci., Hubei Univ., Wuhan, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The target of content-based image retrieval is to reduce the "semantic gap" between low-level visual features and high-level semantic features of image. The key of the further development of content-based image retrieval is the processing of image semantics. To enhance the capacity of content-based image retrieval systems, the image semantic model, image semantic extraction and image semantic retrieval system are researched in this paper. At last, the problems in image semantics are put forward and the directions of future development are suggested.
  • Keywords
    content-based retrieval; feature extraction; image processing; image retrieval; content based image retrieval; high level semantic feature; image semantic extraction; image semantic model; low level visual feature; semantic gap; semantic research; Computers; Data mining; Feature extraction; Image retrieval; Object oriented modeling; Semantics; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2010 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4244-7871-2
  • Type

    conf

  • DOI
    10.1109/ICMULT.2010.5630971
  • Filename
    5630971