Content-based Image Retrieval Based On Visual Attention And The Conditional Probability

DOI

10.2991/cmfe-15.2015.199How to use a DOI?

Keywords

image retrieval; HSV color space; visual attention; the conditional probability

Abstract

a novel content-based image retrieval framework was presented in this paper. This framework is used to encode primary visual feature and saliency information as natural image features by simulating visual attention mechanism and using the conditional probability. In this framework, the color volume is used as a novel feature to detect saliency areas. Besides, a novel generalized visual feature representation method, namely the conditional probability histogram, is proposed to describe natural image features. It can integrate primary visual features and saliency information into one whole unit. Experimental results indicate that the proposed algorithm outper-form our prior works, namely multi-texton histogram and color difference histogram.

Copyright

© 2015, 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  - Guang-Hai Liu
PY  - 2015/07
DA  - 2015/07
TI  - Content-based Image Retrieval Based On Visual Attention And The Conditional Probability
BT  - Proceedings of the International Conference on Chemical, Material and Food Engineering
PB  - Atlantis Press
SP  - 843
EP  - 847
SN  - 2352-5401
UR  - https://doi.org/10.2991/cmfe-15.2015.199
DO  - 10.2991/cmfe-15.2015.199
ID  - Liu2015/07
ER  -