• DocumentCode
    938082
  • Title

    Retrieval for color artistry concepts

  • Author

    Lay, Jose A. ; Guan, Ling

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Sydney Univ., NSW, Australia
  • Volume
    13
  • Issue
    3
  • fYear
    2004
  • fDate
    3/1/2004 12:00:00 AM
  • Firstpage
    326
  • Lastpage
    339
  • Abstract
    The paper presents work on the retrieval of artworks for color artistry concepts. First, we confirm the view that the query-by-example paradigm, fundamental to current content-based retrieval systems, is able to extend only limited usefulness. We then propose a concept-based retrieval engine based on the generative grammar of elemental concepts methodology. In the latter, the language by which color artistry concepts are communicated in artworks is used to operate semantic searches. The color artistry language is explicated as elemental concepts and the associated generative grammar. The elemental concepts are used to index the artworks, while the generative grammar is used to facilitate post-coordinate expression of color artistry concept queries by using the elemental concepts.
  • Keywords
    art; content-based retrieval; image classification; image colour analysis; image retrieval; artwork retrieval; artworks indexing; color artistry concepts; color artistry language; concept-based retrieval engine; content-based retrieval; elemental concepts; generative grammar; query-by-example paradigm; semantic searches; Art; Australia; Content based retrieval; Engines; Humans; Image retrieval; Indexing; Information retrieval; Painting; Abstracting and Indexing as Topic; Algorithms; Archaeology; Archives; Art; Color; Computer Graphics; Culture; Database Management Systems; Databases, Factual; Hypermedia; Image Enhancement; Image Interpretation, Computer-Assisted; Information Dissemination; Information Storage and Retrieval; Internet; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Software; Terminology as Topic; User-Computer Interface;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2003.822971
  • Filename
    1278357