This article presents the principal results of the Ph.D. thesis A Novel Method for Content-Based Image Retrieval in Art Image Collections Utilizing Colour Semantics by Krassimira
Ivanova (Institute of Mathematics and Informatics, BAS), successfully defended at Hasselt Uni-versity in Belgium, Faculty of Science, on 15 November 2011.
The article briefly presents the results achieved by the PhD project R-1875 “Search in Art Image Collections Based on Colour Semantics”, Hasselt University,...
In this paper we study some of the characteristics of the art
painting image color semantics. We analyze the color features of differ-
ent artists and art movements. The analysis includes exploration of hue,
saturation and luminance. We also use quartile’s analysis to obtain the dis-
tribution of the dispersion of defined groups of paintings and measure the
degree of purity for these groups. A special software system “Art Paint-
ing Image Color Semantics” (APICSS) for image analysis and retrieval...
ACM Computing Classification System (1998): H.2.8, H.3.3.
Associative classifiers use a set of class association rules, generated from a given training set, to classify new instances. Typically, these techniques set a minimal support to make a first selection of appropriate rules and discriminate subsequently between high and low quality rules by means of a quality measure such as confidence. As a result, the final set of class association rules have a support equal or greater than a...
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