Bayesian Approaches to Content-based Image Retrieval
نویسندگان
چکیده
In this paper we describe the problem of content-based image retrieval (CBIR) and apply Bayesian and decision theory methodology to develop a CBIR system. This is evaluated using the idea of target testing. Comments on the performance of the system, and how it might be extended, are given. Then we propose a decision theory solution to the problem of identifying sets of images to show the user of the system during the search process.
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