@inproceedings{4f65b8c8d85c406aa5566977089b5f4a,
title = "A color image retrieval method based on local histogram",
abstract = "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.",
author = "Chang, {Chin Chen} and Chan, {Chi Shiang} and Hsiao, {Ju Yuan}",
year = "2001",
doi = "10.1007/3-540-45453-5_107",
language = "English",
isbn = "3540426809",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "831--836",
editor = "Heung-Yeung Shum and Mark Liao and Shih-Fu Chang",
booktitle = "Advances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings",
address = "Germany",
note = "2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001 ; Conference date: 24-10-2001 Through 26-10-2001",
}