UPC at MediaEval 2013 Hyperlinking Task

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/20487

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	Ventura Royo, Carles
dc.contributor.author	Tella-Amo, Marcel
dc.contributor.author	Giró Nieto, Xavier
dc.date	2013
dc.identifier.citation	Ventura, C.; Tella-Amo, M.; Giro, X. UPC at MediaEval 2013 Hyperlinking Task. A: MediaEval - Multimedia Benchmark Workshop. "Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop". Barcelona: CEUR Workshop Proceedings, 2013.
dc.identifier.uri	http://hdl.handle.net/2117/20487
dc.language.iso	eng
dc.publisher	CEUR Workshop Proceedings
dc.relation	http://ceur-ws.org/Vol-1043/mediaeval2013_submission_35.pdf
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
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	Àrees temàtiques de la UPC::So, imatge i multimèdia::Creació multimèdia::Vídeo digital
dc.subject	Digital video
dc.subject	Image processing--Digital techniques
dc.subject	Vídeo digital
dc.subject	Imatges -- Processament -- Tècniques digitals
dc.title	UPC at MediaEval 2013 Hyperlinking Task
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	These working notes paper present the contribution of the UPC team to the Hyperlinking sub-task of the Search and Hyperlinking Task in MediaEval 2013. Our contribution ex- plores the potential of a solution based only on visual cues. In particular, every automatically generated shot is repre- sented by a keyframe. The linking between video segments is based on the visual similarity of the keyframes they contain. Visual similarity is assessed with the intersection of bag of features histograms generated with the SURF descriptor.

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