Publication Type

Journal Article

Version

publishedVersion

Publication Date

9-2001

Abstract

This paper is concerned with the indexing and retrieval of images based on features extracted directly from the JPEG discrete cosine transform (DCT) domain. We examine possible ways of manipulating DCT coefficients by standard image analysis approaches to describe image shape, texture, and color. Through the Mandala transformation, our approach groups a subset of DCT coefficients to form ten blocks. Each block represents a particular frequency content of the original image. Two blocks are used to model rough object shape; nine blocks to describe subband properties; and one block to compute color distribution. As a result, the amount of data used for processing and analysis is significantly reduced. This can lead to simple yet efficient ways of indexing and retrieval in a large-scale image database. Experimental results show that our proposed approach offers superior indexing speed without significantly sacrificing the retrieval accuracy. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

Keywords

image indexing and retrieval, DCT, color histogram, shape modeling, texture recognition

Discipline

Computer Sciences | Graphics and Human Computer Interfaces

Research Areas

Intelligent Systems and Optimization

Publication

Pattern Recognition

Volume

34

Issue

9

First Page

1841

Last Page

1851

ISSN

0031-3203

Identifier

10.1016/S0031-3203(00)00111-4

Publisher

Elsevier

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