• DocumentCode
    311092
  • Title

    A flexible image retrieval using explicit visual instruction

  • Author

    Kanehara, F. ; Satoh, S. ; Hamada, T.

  • Author_Institution
    Nat. Center for Sci. Inf. Syst., Tokyo Univ., Japan
  • Volume
    1
  • fYear
    1995
  • fDate
    14-16 Aug 1995
  • Firstpage
    175
  • Abstract
    We have developed a flexible image content retrieval system for silhouette images based on shape similarity. In our approach, a silhouette image is decomposed into primitives, each of which is translated into two signatures as indices of the image data. The two signatures are for attributes of each primitives and for relations between two of them, respectively. Queries are performed by the user´s drawing sketch and explicit instructions about attributes and relations with our developed sketch user interface. With this mechanism, the user can flexibly communicate detail requirements to the system and retrieve target images based on local/global shape features
  • Keywords
    feature extraction; human factors; image recognition; information retrieval; query processing; visual databases; drawing sketch; explicit visual instruction; flexible image content retrieval system; flexible image retrieval; image data; image decomposition; local/global shape features; primitives; shape similarity; signatures; silhouette images; sketch user interface; Content based retrieval; Data mining; Image databases; Image retrieval; Information retrieval; Information systems; Shape; Spatial databases; User interfaces; Visual databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-8186-7128-9
  • Type

    conf

  • DOI
    10.1109/ICDAR.1995.598970
  • Filename
    598970