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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.
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Received: 27 October 2003
Published: 25 March 2004
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Corresponding Authors:
Meng Xiangzeng
E-mail: mxz@sohu.com
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About author:: Meng Xiangzeng,Zhong Yixin |
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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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