Research On The Relevance Feedback-Based Image Retrieval In Digital Library
Rongtao Ding, Xinhao Ji, Linting Zhu · Zenodo (CERN European Organization for Nuclear Research) · 2007
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.