Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)

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A Summary of Content-Based Image Retrieval Methods

Authors
Zhongmin Li, Haochen Wu
Corresponding Author
Zhongmin Li
Available Online November 2016.
DOI
10.2991/icmia-16.2016.146How to use a DOI?
Keywords
CBIR; Feature extraction; semantic gap; relevance feedback
Abstract

This paper mainly focuses on the content-based image search system. First introduces the research status of CBIR in China and abroad, and then proposes and illustrates two key problems affecting the accuracy of the system, summarizes commonly used methods to solve these two problems.

Copyright
© 2016, 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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Volume Title
Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-256-5
ISSN
1951-6851
DOI
10.2991/icmia-16.2016.146How to use a DOI?
Copyright
© 2016, 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/).

Cite this article

risenwbib
TY  - CONF
AU  - Zhongmin Li
AU  - Haochen Wu
PY  - 2016/11
DA  - 2016/11
TI  - A Summary of Content-Based Image Retrieval Methods
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.146
DO  - 10.2991/icmia-16.2016.146
ID  - Li2016/11
ER  -