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Proceedings Paper

Diversification of visual media retrieval results using saliency detection
Author(s): Oleg Muratov; Giulia Boato; Francesco G. B. De Natale
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Paper 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.

Paper Details

Date Published: 7 March 2013
PDF: 7 pages
Proc. SPIE 8667, Multimedia Content and Mobile Devices, 86670I (7 March 2013); doi: 10.1117/12.2003204
Show Author Affiliations
Oleg Muratov, Univ. of Trento (Italy)
Giulia Boato, Univ. of Trento (Italy)
Francesco G. B. De Natale, Univ. degli Studi di Trento (Italy)


Published in SPIE Proceedings Vol. 8667:
Multimedia Content and Mobile Devices
Reiner Creutzburg; Todor G. Georgiev; Dietmar Wüller; Cees G. M. Snoek; Kevin J. Matherson; David Akopian; Andrew Lumsdaine; Lyndon S. Kennedy, Editor(s)

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