Spatial Color Distribution Based Indexing and Retrieval Scheme

Abstract

In this contribution we present a novel approach to the problem of color image indexing and retrieval. The indexing technique is based on the Gaussian Mixture modeling of the histogram of weights provided by the bilateral filtering scheme. In this way the proposed technique considers not only the global distribution of the color pixels comprising the image but also takes into account their spatial arrangement. The model parameters serve as signatures which enable fast and efficient color image retrieval. 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.