• DocumentCode
    2696176
  • Title

    Content based image retrieval systems

  • Author

    Zachary, John M., Jr. ; Iyengar, Sitharama S.

  • Author_Institution
    Dept. of Comput. Sci., Louisiana State Univ. Baton Rouge, LA, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    136
  • Lastpage
    143
  • Abstract
    The ability to organize and retrieve visual information such as images and video is becoming a crucial problem for specialists and general computer users alike. Because processing visual information requires perceptual abilities not yet known to exist in computational form, the ability to retrieve visual information without human assistance is a rich, complex, and interesting problem. This paper presents the problem from the point of view of real-world system construction, discusses the main feature extraction methods used in modern CBIR systems, and outlines several CBIR system implementations
  • Keywords
    content-based retrieval; feature extraction; information retrieval; content based image retrieval systems; feature extraction; images; perceptual abilities; real-world system construction; video; visual information; Content based retrieval; Data mining; Digital images; Electrical capacitance tomography; Humans; Image databases; Image retrieval; Information retrieval; Information technology; Read only memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Application-Specific Systems and Software Engineering and Technology, 1999. ASSET '99. Proceedings. 1999 IEEE Symposium on
  • Conference_Location
    Richardson, TX
  • Print_ISBN
    0-7695-0122-2
  • Type

    conf

  • DOI
    10.1109/ASSET.1999.756762
  • Filename
    756762