Sifting through Images with Multinomial Relevance Feedback

Abstract

This paper presents the theory, design principles, implementation and performance results of a content-based image retrieval system based on multinomial relevance feedback. The system relies on an interactive search paradigm in which at each round a user is presented with a set of k images and is required to select one that is closest to their target… (More)

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