A color image retrieval method based on local histogram

Chin Chen Chang, Chi Shiang Chan, Ju Yuan Hsiao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


In this paper, we shall propose a color image retrieval method. Among the methods of color image retrieval, the histogram technique only captures the global properties so that it cannot effectively characterize an image. To overcome this drawback, we propose a scheme to capture local properties so that it can do retrieval more accurately. In our method, we segment the original image into several subimage blocks, and we do color histogram with every subimage block. After combining color histogram vectors into a multi-dimensional vector, we use this multi-dimensional vector to search the database for similar images. The experimental results show that our method gives better performance than the original color histogram technique.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings
EditorsHeung-Yeung Shum, Mark Liao, Shih-Fu Chang
PublisherSpringer Verlag
Number of pages6
ISBN (Print)3540426809, 9783540426806
Publication statusPublished - 2001
Event2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001 - Beijing, China
Duration: 2001 Oct 242001 Oct 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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