DocumentCode
2110470
Title
Application of SVM Relevance Feedback Algorithms in Image Retrieval
Author
Wang, Xuejun ; Yang, Lingling
Author_Institution
Comput. & Inf. Eng. Dept., Shijiazhuang Railway Inst. Shijiazhuang, Shijiazhuang
Volume
1
fYear
2008
fDate
20-22 Dec. 2008
Firstpage
210
Lastpage
213
Abstract
This paper takes the project of science and technology resources construction in Hebei Province as the background, on the foundation of introducing the science and technology resources image retrieval system structure, it emphasizes on the analysis of relevance feedback algorithm based on SVM (support vector machines) as well as itspsila application in the image retrieval of the science and technology resources. The experiments indicate that this method can accurately and effectively find out the images which are required by user, and improve the image retrieval efficiency effectively.
Keywords
image retrieval; relevance feedback; support vector machines; SVM relevance feedback algorithms; image retrieval system structure; relevance feedback algorithm; support vector machines; SVM; content-based image retrieval; relevance feedback;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering, 2008. ISISE '08. International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-2727-4
Type
conf
DOI
10.1109/ISISE.2008.275
Filename
4732202
Link To Document