Regression Models for Relevance Feedback and Feature Selection in Content-based Image Retrieval

Abstract

One of the main reasons why content-based image retrieval (CBIR) is such a challenging problem has to do with the fact that there is no canonical way to capture the visual content encapsulated in an image. As a consequence, most CBIR search-engines keep the human in the loop by regularly requesting his feedback to expedite the search-action. More precisely… (More)

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