• DocumentCode
    397079
  • Title

    Using color concepts in the retrieval of color artistry

  • Author

    Lay, Jose A. ; Guan, Ling

  • Author_Institution
    Sydney Univ., NSW, Australia
  • Volume
    2
  • fYear
    2003
  • fDate
    4-7 May 2003
  • Firstpage
    1175
  • Abstract
    This paper presents a work on the retrieval of artworks by color artistry concepts. We argue that the query-by-example paradigm and the similarity matching engine of content-based retrieval may support only query with limited utility. We then propose a concept retrieval engine based on the generative grammar of elemental concepts methodology. In the latter, color artistry concepts are identified and used as relevance-concepts by which artworks can be collocated together. A concept language comprising elemental concepts of artistry structure and their generative grammar is devised. Elemental concepts are then represented and used to index artworks in the database. Concept queries are supported as expressions in the color artistry concept language.
  • Keywords
    content-based retrieval; image retrieval; vocabulary; color artistry concept language; concept queries; content-based retrieval; query-by-example paradigm; similarity matching engine; Art; Color; Content based retrieval; Cultural differences; Databases; Engines; Humans; Indexes; Least squares approximation; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2003. IEEE CCECE 2003. Canadian Conference on
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-7781-8
  • Type

    conf

  • DOI
    10.1109/CCECE.2003.1226107
  • Filename
    1226107