OPT OpenIR  > 中国科学院西安光学精密机械研究所(2010年前)
Automatic feature weight assignment based on genetic algorithm for image retrieval
Shao, Hong1,2; Zhang, Ji-Wu3,4; Cui, Wen-Cheng2; Zhao, Hong1
2003
Conference NameIEEE International Conference on Robotics, Intelligent Systems and Signal Processing, RISSP 2003
Volume2003-October
Pages731-735
Conference Date2003-10-08
Conference PlaceChangsha, Hunan, China
PublisherInstitute of Electrical and Electronics Engineers Inc.
Contribution Rank3
Abstract

Integrating multiple features content-based image retrieval can overcome the problems of single feature, but how to organize these features and feature representation methods is difficult in image retrieval. In this paper, an automatic feature weight assignment approach based on genetic algorithm is proposed. The problem of weight assignment is firstly changed into optimization problem, and genetic algorithm is used for finding the optimization weight in order to get the best retrieval results. The experimental results show that the recall and precision of this proposed approach is better than the others' weight assignment methods. This approach is robust to various kinds of features and feature representation methods, and it can get the best feature combination for image retrieval. © 2003 IEEE.

Department中国科学院西安光学精密机械研究所(2010年前)
DOI10.1109/RISSP.2003.1285675
Indexed ByEI
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30345
Collection中国科学院西安光学精密机械研究所(2010年前)
Affiliation1.Software Center, Northeastern University, Shenyang; 110179, China
2.School of Information Science and Engineering, Shenyang University of Technology, Shenyang; 110023, China
3.Xi'an Institute of Optics and Precision Mechanics, Sinic Academy of Science, Xi'an; 710068, China
4.Computer Application Technology Institute, Northeastern University, Shenyang; 110006, China
Recommended Citation
GB/T 7714
Shao, Hong,Zhang, Ji-Wu,Cui, Wen-Cheng,et al. Automatic feature weight assignment based on genetic algorithm for image retrieval[C]:Institute of Electrical and Electronics Engineers Inc.,2003:731-735.
Files in This Item:
File Name/Size DocType Version Access License
Automatic feature we(481KB)会议论文 开放获取CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Shao, Hong]'s Articles
[Zhang, Ji-Wu]'s Articles
[Cui, Wen-Cheng]'s Articles
Baidu academic
Similar articles in Baidu academic
[Shao, Hong]'s Articles
[Zhang, Ji-Wu]'s Articles
[Cui, Wen-Cheng]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Shao, Hong]'s Articles
[Zhang, Ji-Wu]'s Articles
[Cui, Wen-Cheng]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.