Analysis of the Distributions of Color Characteristics in Art Painting Images
Ivanova, Krassimira; Stanchev, Peter; Dimitrov, Boyan
Serdica Journal of Computing (2008)
- Volume: 2, Issue: 2, page 111-136
- ISSN: 1312-6555
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topIvanova, Krassimira, Stanchev, Peter, and Dimitrov, Boyan. "Analysis of the Distributions of Color Characteristics in Art Painting Images." Serdica Journal of Computing 2.2 (2008): 111-136. <http://eudml.org/doc/11457>.
@article{Ivanova2008,
abstract = {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 was
created. The obtained result can be used for automatic classification of art
paintings in image retrieval systems, where the indexing is based on color
characteristics.},
author = {Ivanova, Krassimira, Stanchev, Peter, Dimitrov, Boyan},
journal = {Serdica Journal of Computing},
keywords = {Classification; Color; Image; Information Retrieval; Multimedia},
language = {eng},
number = {2},
pages = {111-136},
publisher = {Institute of Mathematics and Informatics Bulgarian Academy of Sciences},
title = {Analysis of the Distributions of Color Characteristics in Art Painting Images},
url = {http://eudml.org/doc/11457},
volume = {2},
year = {2008},
}
TY - JOUR
AU - Ivanova, Krassimira
AU - Stanchev, Peter
AU - Dimitrov, Boyan
TI - Analysis of the Distributions of Color Characteristics in Art Painting Images
JO - Serdica Journal of Computing
PY - 2008
PB - Institute of Mathematics and Informatics Bulgarian Academy of Sciences
VL - 2
IS - 2
SP - 111
EP - 136
AB - 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 was
created. The obtained result can be used for automatic classification of art
paintings in image retrieval systems, where the indexing is based on color
characteristics.
LA - eng
KW - Classification; Color; Image; Information Retrieval; Multimedia
UR - http://eudml.org/doc/11457
ER -
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