A Novel Image Retrieval Method Based on Color Autocorrelogram and Mutual Information

DOI

10.2991/icacsei.2013.141How to use a DOI?

Keywords

Image Retrieval, Color Feature, Color Correlation, Color Mutual Information, Feature Normalization.

Abstract

This paper presents a novel color feature descriptor, namely Color Mutual Information (CMI), to solve the problems of high computational complexity and low retrieval accuracy among the existing methods. The new color feature vector which describes the global and spatial distribution relation among different colors is obtained by calculating the average mutual information between one color and all the colors around it in the color correlation feature matrix, thus reducing the computational complexity. Inter-feature normalization has been applied in the combination of Color Mutual Information and Color Autocorrelogram (CA) to enhance the retrieval accuracy. The experimental result show that, in the circumstance with either invariable illumination or variable illumination, the newly integrated algorithm Color Autocorrelogram and Mutual Information (CAMI) performs better in terms of computational complexity, real-time response speed and retrieval accuracy.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xin ning Shen
AU  - Xiao long Wang
AU  - Jian hong Du
PY  - 2013/08
DA  - 2013/08
TI  - A Novel Image Retrieval Method Based on Color Autocorrelogram and Mutual Information
BT  - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 587
EP  - 590
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.141
DO  - 10.2991/icacsei.2013.141
ID  - Shen2013/08
ER  -