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/).
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 -