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 :
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