Empirical study of color-spatial retrieval techniques for large image databases

Abstract

In this paper, we present an experimental evaluation of three color-spatial retrieval techniques - the signature-based technique, the partition-based algorithm and the cluster-based method. The experimental study is performed on an image database consisting of 12,000 images. With the proliferation of image retrieval mechanisms and the lack of extensive performance study, the experimental results can serve as guidelines in selecting a suitable technique and designing a new technique.