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Research on the Relevance Feedback-based Image Retrieval in Digital Library

By Rongtao Ding, Xinhao Ji and Linting Zhu

Abstract

Abstract—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. Keywords—Image retrieval; Relevance feedback; Radial basis function

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.193.4958
Provided by: CiteSeerX
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