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
Link To Document :
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