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Proceedings Paper

Towards diverse visual suggestions on Flickr
Author(s): Ghada Feki; Anis Ben Ammar; Chokri Ben Amar
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Paper Abstract

With the great popularity of the photo sharing site Flickr, the research community is involved to produce innovative applications in order to enhance different Flickr services. In this paper, we present a new process for diverse visual suggestions generation on Flickr. We unify the social aspect of Flickr and the richness of Wikipedia to produce an important number of meanings illustrated by the diverse visual suggestions which can integrate the diversity aspect into the Flickr search. We conduct an experimental study to illustrate the effect of the fusion of the Wikipedia and Flickr knowledge on the diversity rate among the Flickr search and reveal the evolution of the diversity aspect through the returned images among the different results of search engines.

Paper Details

Date Published: 17 March 2017
PDF: 5 pages
Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103411Z (17 March 2017); doi: 10.1117/12.2268819
Show Author Affiliations
Ghada Feki, Univ. de Sfax (Tunisia)
Anis Ben Ammar, Univ. de Sfax (Tunisia)
Chokri Ben Amar, Univ. de Sfax (Tunisia)


Published in SPIE Proceedings Vol. 10341:
Ninth International Conference on Machine Vision (ICMV 2016)
Antanas Verikas; Petia Radeva; Dmitry P. Nikolaev; Wei Zhang; Jianhong Zhou, Editor(s)

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