Long Term Learning for Content Extraction in Image Retrieval


Learning in the form relevance feedback is popular for bridging the semantic gap in content based image retrieval (CBIR). However, learning across users and sessions did not get its due attention in CBIR. In this paper, we propose a computationally simple yet effective scheme for learning relevant features for a specific image. Learned concept is related to… (More)


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