Document Type

Article

Publication Date

12-1-2006

Publication Title

Journal of Digital Information Management

Abstract

In this paper we illustrate several aspects of art databases, such as: the spread of the multimedia art images; the main characteristics of art images; main art images search models; unique characteristics for art image retrieval; the importance of the sensory and semantic gaps. In addition, we present several interesting features of an art image database, such as: image indexing; feature extraction; analysis on various levels of precision; style classification. We stress color features and their base, painting analysis and painting styles. We study also which MPEG-7 descriptors are best for fine painting images retrieval. An experimental system is developed to see how these descriptors work on 900 art images from several remarkable art periods. On the base of our experiments some suggestions for improving the process of searching and analysis of fine art images are given.

Volume

4

Issue

4

First Page

227

Last Page

232

DOI

DOI Unknown http://www.dirf.org/jdim/abstractv4i4.htm#v4n4a4

ISSN

0972-7272

Rights

© 2006 Digital Information Research Foundation. Posted with permission.

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