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New Technology of Library and Information Service  2004, Vol. 20 Issue (3): 35-37    DOI: 10.11925/infotech.1003-3513.2004.03.11
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Images Retrieval Based on Semantic in WWW
Meng Xiangzeng   Zhong Yixin
(Research Center of Intelligence,Beijing University of Post and Telecommunicatiom, Beijing 100876,China)
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Abstract  

Image retrieval is an important research branch on multimedia retrieval. The methods are presented to obtain the semantic of image by combining the keywords extracted from WWW pages and the visual features of image based on the knowledge library of image objects. A system of image retrieval based on semantic is introduced and the primary results of experiments show that it has higher precision rate in WWW image retrieval.
Key words： Image retrieval      Semantic-based      WWW      Knowledge library     
Received: 27 October 2003      Published: 25 March 2004
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354.49

 		 
Corresponding Authors: Meng Xiangzeng     E-mail: mxz@sohu.com
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Cite this article:

Meng Xiangzeng,Zhong Yixin. Images Retrieval Based on Semantic in WWW. New Technology of Library and Information Service, 2004, 20(3): 35-37.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2004.03.11     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2004/V20/I3/35

１陈立娜.因特网上的图像搜索引擎,情报理论与实践,2001(4): 301-304
２王欣.基于WWW的图像检索技术.现代图书情报技术,2002(3):70-73
３Y. Rui, T.S. Huang, S.-F. Chang. Image retrieval: Current techniques, promising directions and open issues.J. Vis. Comm. Im. Repr., 1999,10(3):39-62
４A.Mojsilovic, and B.Rogowitz. Capturing image semantics with low-level descriptors,In Proc. IEEE International Conference on Image Processing,ICIP 2001
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