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Proceedings Paper

Parametric approach to the retrieval of lossy compressed color images
Author(s): Maria Luszczkiewicz; Bogdan Smolka
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Paper Abstract

The rapid development of the Internet in the early 1990s caused an explosive growth of publicly accessible multimedia resources. It created new viewpoint on storage, distribution and processing of enormous collections of images. Along with the development of the World Wide Web there is much effort dedicated to create a content-based image retrieval systems which are able to efficiently index, retrieve and manage large scale databases. In this paper we propose a color indexing method based on the Gaussian Mixture Model of color histograms. The model parameters serve as signatures enabling fast and efficient color image retrieval. In this paper we show that the proposed approach is robust to color image distortions introduced by lossy compression artifacts and therefore it is well suited for indexing and retrieval of Internet based collections of color images stored in lossy compression formats.

Paper Details

Date Published: 28 December 2007
PDF: 9 pages
Proc. SPIE 6937, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007, 69372L (28 December 2007); doi: 10.1117/12.784770
Show Author Affiliations
Maria Luszczkiewicz, Silesian Univ. of Technology (Poland)
Bogdan Smolka, Silesian Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 6937:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007

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