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Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network

8 years 11 months ago
Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the feedback information to improve the retrieval performance. This paper presents a relevance feedback scheme using Bayesian network model for feedback information adoption. Relevant images during previous iterations are reasonably incorporated into the current iteration and the chosen relevant images can better capture user’s information need. .
Jing Xin, Jesse S. Jin
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2003
Where VIP
Authors Jing Xin, Jesse S. Jin
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