Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

10-2001

Abstract

In this paper, we present a novel and efficient scheme for extracting, indexing and retrieving color images. Our motivation was to reduce the space overhead of partition-based approaches taking advantage of the fact that only a relatively low number of distinct values of a particular visual feature is present in most images. To extract color feature and build indices into our image database we take into consideration factors such as human color perception and perceptual range, and the image is partitioned into a set of regions by using a simple classifying scheme. The compact color feature vector and the spatial color histogram, which are extracted from the seqmented image region, are used for representing the color and spatial information in the image. We have also developed the region-based distance measures to compare the similarity of two images. Extensive tests on a large image collection were conducted to demonstrate the effectiveness of the proposed approach.

Discipline

Computer Sciences | Graphics and Human Computer Interfaces

Research Areas

Intelligent Systems and Optimization

Publication

Proceedings 2001 International Conference on Image Processing, Thessaloniki, Greece, October 7-10

Volume

3

First Page

592

Last Page

595

Identifier

10.1109/ICIP.2001.958188

Publisher

IEEE

City or Country

Thessaloniki, Greece

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