Content-based retrieval using color, texture, and shape information

Abstract

Current technology allows the acquisition, transmission, storing, and manipulation of large collections of images. A way to achieve this goal is the automatic computation of features such as color, texture, shape, and position of objects within images, and the use of the features as query terms. In this paper we describe some results of a study on similarity evaluation in image retrieval using shape, texture, color and object orientation and relative position as content features. A simple system is also introduced that computes the feature descriptors and performs queries. © Springer-Verlag Berlin Heidelberg 2003.