Mental Image Category Search: a Bayesian Approach
نویسندگان
چکیده
In this paper we look at an image retrieval scenario that we call mental image category search, where the user has an image class in his or her mind and wishes to retrieve several such images from a database, without the benefit of an example. We propose a content-based image retrieval system based on Bayesian inference. The approach is evaluated by performing searches for categories of image that invoke different emotional reactions.
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