Proceedings of the 2015 International conference on Applied Science and Engineering Innovation

Application of SVM-Based Relevance Feedback in Image Retrieval

Authors
Xian.Wei Wu, Wen.Yang Yu, Yu.Bin Yang
Corresponding Author
Xian.Wei Wu
Available Online May 2015.
DOI
10.2991/asei-15.2015.211How to use a DOI?
Keywords
SVM, relevance feedback, image retrieval.
Abstract

In the page, we discuss relevance feedback techniques in image retrieval system, and then focus on the SVM-based relevance feedback. Using SVM-based relevance feedback, the precision rate of image retrieval system is satisfied. In order to better understand the effectiveness of SVM-based relevance feedback in image retrieval system, some well-designed experiments are taken out.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
Series
Advances in Engineering Research
Publication Date
May 2015
ISBN
10.2991/asei-15.2015.211
ISSN
2352-5401
DOI
10.2991/asei-15.2015.211How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Xian.Wei Wu
AU  - Wen.Yang Yu
AU  - Yu.Bin Yang
PY  - 2015/05
DA  - 2015/05
TI  - Application of SVM-Based Relevance Feedback in Image Retrieval
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 1072
EP  - 1076
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.211
DO  - 10.2991/asei-15.2015.211
ID  - Wu2015/05
ER  -