• DocumentCode
    2547201
  • Title

    Implicit concept-based image indexing and retrieval

  • Author

    Azzam, I.A. ; Leung, C.H.C. ; Horwood, J.F.

  • Author_Institution
    Comput. Sci. & Math., Victoria Univ. of Technol., Melbourne, Vic., Australia
  • fYear
    2004
  • fDate
    5-7 Jan. 2004
  • Firstpage
    354
  • Lastpage
    359
  • Abstract
    This paper focuses on implicit concept-based image indexing and retrieval (ICIIR), and the development of an improved method for the indexing and retrieval of images. The method involves the development of techniques to enable components of an image to be categorised on the basis of their relative importance with the image. Thus the storage of images involves an implicit, rather than an explicit, indexing scheme. Retrieval of images will then be effected by application of an algorithm based on the categorisation, which will allow relevant images to be identified and retrieved accurately and efficiently.
  • Keywords
    content-based retrieval; database indexing; image retrieval; concept-based indexing; image indexing; image retrieval; implicit indexing; Computer science; Content based retrieval; Image databases; Image retrieval; Image storage; Indexing; Information retrieval; Information systems; Multimedia databases; Visual databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Modelling Conference, 2004. Proceedings. 10th International
  • Print_ISBN
    0-7695-2084-7
  • Type

    conf

  • DOI
    10.1109/MULMM.2004.1265007
  • Filename
    1265007