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Title: SocialSensor: Finding Diverse Images at MediaEval 2014
Author(s): E. Spyromitros-Xioufis, S. Papadopoulos, I. Kompatsiaris, I. Vlahavas.
Availability: Click here to download the PDF (Acrobat Reader) file (2 pages).
Keywords: diversification, image retrieval, relevance detector, greedy optimization, visual features.
Appeared in: CEUR Workshop Proceedings, CEUR-WS.org, Vol-1263, pp. 2, Barcelona, Catalunya, Spain, 2014.
Abstract: This paper describes the participation of the SosialSensor team in the Retrieving Diverse Social Images Task of MediaEval 2014. All our entries are produced by a different instantiation (set of features, parameter configuration) of the same diversification algorithm that optimizes a joint relevance-diversity criterion. All our runs are automated and use only resources given by the task organizers. Our best results in terms of the social ranking metric (F1@20 ~ 0.59) came by the runs that combine visual and textual information, followed by the visual-only run.
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