• DocumentCode
    2869879
  • Title

    Image retrieval by positive and negative examples

  • Author

    Assfalg, J. ; Bimbo, A. Del ; Pala, P.

  • Author_Institution
    Dipt. di Sistemi e Inf., Florence Univ., Italy
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    267
  • Abstract
    Systems for content based image retrieval typically support access to database images through the query-by-example paradigm. This includes query-by-image and query-by-sketch. Since query-by-sketch can be difficult in some cases-lack of sketching abilities, difficulty to detect distinguishing image features-generally querying is performed through the query-by-image paradigm. A limiting factor of this paradigm is that a single sample image rarely includes all and only the characterizing elements the user is looking for. In this paper a system is presented that supports query-by-image using multiple image examples. Examples can be positive and negative and can be edited in order to disregard irrelevant image features
  • Keywords
    content-based retrieval; graphical user interfaces; image retrieval; content based image retrieval; database images; image features; query-by-example paradigm; query-by-image; query-by-sketch; Computer vision; Content based retrieval; Image databases; Image retrieval; Indexing; Information retrieval; Prototypes; Shape; Spatial databases; Visual databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.902910
  • Filename
    902910