UPC-UB-STP @ MediaEval 2015 diversity task: iterative reranking of relevant images

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/78473

dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.contributor.author	Lidon, Aniol
dc.contributor.author	Giró Nieto, Xavier
dc.contributor.author	Bolaños, Marc
dc.contributor.author	Radeva, Petia
dc.contributor.author	Seidl, Markus
dc.contributor.author	Zeppelzauer, Matthias
dc.date	2015
dc.identifier.citation	Lidon, A., Giro, X., Bolaños, M., Radeva, P., Seidl, M., Zeppelzauer, M. UPC-UB-STP @ MediaEval 2015 diversity task: iterative reranking of relevant images. A: Multimedia Benchmark Workshop. "MediaEval 2015 Multimedia Benchmark Workshop". Wurzen: CEUR-WS.org, 2015.
dc.identifier.uri	http://hdl.handle.net/2117/78473
dc.language.iso	eng
dc.publisher	CEUR-WS.org
dc.relation	http://ceur-ws.org/Vol-1436/
dc.relation	info:eu-repo/grantAgreement/ES/1PE/TEC2013-43935-R
dc.relation	info:eu-repo/grantAgreement/ES/6PN/AYA2011-29936-C05-04
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subject	Image processing--Digital techniques
dc.subject	Imatges -- Processament -- Tècniques digitals
dc.title	UPC-UB-STP @ MediaEval 2015 diversity task: iterative reranking of relevant images
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	This paper presents the results of the UPC-UB-STP team in the 2015 MediaEval Retrieving Diverse Images Task.The goal of the challenge is to provide a ranked list of Flickr photos for a predefined set of queries. Our approach firstly generates a ranking of images based on a query-independent estimation of its relevance. Only top results are kept and iteratively re-ranked based on their intra-similarity to introduce diversity.

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