Towards diverse visual suggestions on Flickr

Ghada Feki; Anis Ben Ammar; Chokri Ben Amar

doi:10.1117/12.2268819

17 March 2017 Towards diverse visual suggestions on Flickr

Ghada Feki, Anis Ben Ammar, Chokri Ben Amar

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103411Z (2017) https://doi.org/10.1117/12.2268819
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

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.

Citation Download Citation

Ghada Feki, Anis Ben Ammar, and Chokri Ben Amar "Towards diverse visual suggestions on Flickr", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103411Z (17 March 2017); https://doi.org/10.1117/12.2268819

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