A Modified Feature Relevance Estimation Approach to Relevance Feedback in Content-based Image Retrieval Systems
نویسندگان
چکیده
This paper proposes a new approach for relevance feedback in content-based image retrieval systems. The proposed approaches combined the classical Rocchio relevance feedback with the Feature Relevance Estimation method. As such, according to the relevance feedback provided by the user, the algorithm performs a simultaneous query modification and a assignment of weights to all the components of the image description vector. We show that the Modified Feature Relevance Estimation outperforms classical RF methods for both natural and specialized image databases.
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