• DocumentCode
    2425403
  • Title

    Using multiple examples for content-based image retrieval

  • Author

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

  • Author_Institution
    Dipt. di Sistemi e Inf., Florence Univ., Italy
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    335
  • Abstract
    Query specification for content based image retrieval is typically accomplished through query-by-example paradigms, such as query-by-image and query-by-sketch. In some cases query-by-sketch can be difficult because of lack of sketching abilities, difficulty to detect distinguishing image features. Therefore, querying is performed through the query-by-image paradigm. However, this paradigm often fails since a single sample image rarely includes all and only the characterizing elements the user is looking for. The paper presents a system that supports query-by-image using multiple image examples, both positive and negative. The system also enables editing of examples so as to disregard those image features that are not relevant to the query
  • Keywords
    content-based retrieval; graphical user interfaces; relevance feedback; visual databases; content based image retrieval; distinguishing image features; example editing; image features; multiple examples; multiple image examples; query specification; query-by-example paradigms; query-by-image; query-by-sketch; single sample image; sketching abilities; Computer vision; Content based retrieval; Image databases; Image retrieval; Indexing; Information retrieval; Prototypes; Shape; Spatial databases; Visual databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
  • Conference_Location
    New York, NY
  • Print_ISBN
    0-7803-6536-4
  • Type

    conf

  • DOI
    10.1109/ICME.2000.869609
  • Filename
    869609