Published July 29, 2007
| Version 14781
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Research on the Relevance Feedback-based Image Retrieval in Digital Library
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In recent years, the relevance feedback technology is regarded in content-based image retrieval. This paper suggests a neural networks feedback algorithm based on the radial basis function, coming to extract the semantic character of image. The results of experiment indicated that the performance of this relevance feedback is better than the feedback algorithm based on Single-RBF.
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References
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- Paisarn Muneesawang,Ling Guan.An Interative Approach for CBIR Using a Network of Radial Basis Function,IEEE Trans on Multimedia.6(5),Oct.2004
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