Diversification of visual media retrieval results using saliency detection

Oleg Muratov; Giulia Boato; Francesco G. B. De Natale

doi:10.1117/12.2003204

7 March 2013 Diversification of visual media retrieval results using saliency detection

Oleg Muratov, Giulia Boato, Francesco G. B. De Natale

Author Affiliations +

Proceedings Volume 8667, Multimedia Content and Mobile Devices; 86670I (2013) https://doi.org/10.1117/12.2003204
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

Diversification of retrieval results allows for better and faster search. Recently there has been proposed different methods for diversification of image retrieval results mainly utilizing text information and techniques imported from natural language processing domain. However, images contain visual information that is impossible to describe in text and the use of visual features is inevitable. Visual saliency is information about the main object of an image implicitly included by humans while creating visual content. For this reason it is naturally to exploit this information for the task of diversification of the content. In this work we study whether visual saliency can be used for the task of diversification and propose a method for re-ranking image retrieval results using saliency. The evaluation has shown that the use of saliency information results in higher diversity of retrieval results.

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Oleg Muratov, Giulia Boato, and Francesco G. B. De Natale "Diversification of visual media retrieval results using saliency detection", Proc. SPIE 8667, Multimedia Content and Mobile Devices, 86670I (7 March 2013); https://doi.org/10.1117/12.2003204

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