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Proceedings Paper

Robust retrieval of fine art paintings
Author(s): Bogdan Smolka; Rastislav Lukac; Konstantinos N. Plataniotis; Anastasios N. Venetsanopoulos
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Paper Abstract

The rapid growth of image archives increases the need for efficient and fast tools that can retrieve and search through large amount of visual data. In this paper we propose an efficient method of extracting the image color content, which serves as an image digital signature, allowing to efficiently index and retrieve the content of large, heterogeneous multimedia databases. We apply the proposed method for the retrieval of images from the WEBMUSEUM Internet database, containing the collection of fine art images and show that the new method of image color representation is robust to image distorsions caused by resizing and compression and can be incorporated into existing retrieval systems which exploit the information on color content in digital images.

Paper Details

Date Published: 9 October 2003
PDF: 12 pages
Proc. SPIE 5146, Optical Metrology for Arts and Multimedia, (9 October 2003); doi: 10.1117/12.504101
Show Author Affiliations
Bogdan Smolka, Silesian Univ. of Technology (Poland)
Rastislav Lukac, Univ. of Toronto (Canada)
Konstantinos N. Plataniotis, Univ. of Toronto (Canada)
Anastasios N. Venetsanopoulos, Univ. of Toronto (Canada)

Published in SPIE Proceedings Vol. 5146:
Optical Metrology for Arts and Multimedia
Renzo Salimbeni, Editor(s)

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