Retrieval for color artistry concepts.
This paper presents a work on the retrieval of artworks for color artistry concepts. First we affirm the view that the Query-by-Example paradigm fundamental to the 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 into 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.
Lay
Jose A
JA
School of Electrical and Information Engineering, University of Sydney, NSW 2006, Australia. jlay@ee.usyd.edu.au
Guan
Ling
L
D000043:Abstracting and Indexing / Q000379:methods*; D000465:Algorithms; D001106:Archaeology / Q000379:methods; D001109:Archives; D001154:Art; D003116:Color; D003196:Computer Graphics; D003469:Culture; D003628:Database Management Systems; D016208:Databases, Factual; D019146:Hypermedia; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D033181:Information Dissemination / Q000379:methods; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D010363:Pattern Recognition, Automated; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D012984:Software; D009626:Terminology as Topic; D014584:User-Computer Interface