2016 23rd International Conference on Pattern Recognition (ICPR) 2016
DOI: 10.1109/icpr.2016.7900086
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Optimizing top precision performance measure of content-based image retrieval by learning similarity function

Abstract: Abstract-In this paper we study the problem of content-based image retrieval. In this problem, the most popular performance measure is the top precision measure, and the most important component of a retrieval system is the similarity function used to compare a query image against a database image. However, up to now, there is no existing similarity learning method proposed to optimize the top precision measure. To fill this gap, in this paper, we propose a novel similarity learning method to maximize the top … Show more

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Cited by 14 publications
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References 52 publications
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