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ThinkMind // International Journal On Advances in Software, volume 3, numbers 3 and 4, 2010 // View article soft_v3_n34_2010_12


Automatic Tagging of Art Images with Color Harmonies and Contrasts Characteristics in Art Image Collections

Authors:
Krassimira Ivanova
Peter Stanchev
Koen Vanhoof

Keywords: Content-Based Image Retrieval; Image content; Color; Harmonies; Contrasts

Abstract:
In this paper we present a classification of color harmonies and contrasts, which is consistent with human perceiving of visual expression. It is conformed to the possibilities of automatic extraction of visual information from digitalized copies of art images. The classification is done on the base of the three main characteristics of the color most closed to the human perception – hue, saturation and lightness. Functions for automatic features extraction from digital images are defined. These functions are realized as part of a virtual laboratory "Art Painting Image Color Aesthetic and Semantic" (APICAS). The system can be used by designers and art students for searching images, having certain harmonies or contrasts in image collections as well as a for examining specifics of artists or movements. In future we will use the system as a Web 2.0 service, which could be included in a virtual learning environment.

Pages: 474 to 484

Copyright: Copyright (c) to authors, 2010. Used with permission.

Publication date: April 6, 2011

Published in: journal

ISSN: 1942-2628

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