UPC system for the 2015 MediaEval multimodal person discovery in broadcast TV task

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/84692

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	Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
dc.contributor.author	India, Miquel
dc.contributor.author	Varas González, David
dc.contributor.author	Vilaplana Besler, Verónica
dc.contributor.author	Morros Rubió, Josep Ramon
dc.contributor.author	Hernando Pericás, Francisco Javier
dc.date	2015
dc.identifier.citation	India, M., Varas, D., Vilaplana, V., Morros, J.R., Hernando, J. UPC system for the 2015 MediaEval multimodal person discovery in broadcast TV task. A: MediaEval Multimedia Benchmark Workshop. "MediaEval 2015 Multimedia Benchmark Workshop". Wurzen: 2015.
dc.identifier.uri	http://hdl.handle.net/2117/84692
dc.language.iso	eng
dc.relation	http://ceur-ws.org/Vol-1436/
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic
dc.subject	Àrees temàtiques de la UPC::So, imatge i multimèdia::Creació multimèdia::Vídeo digital
dc.subject	Digital television
dc.subject	Automatic speech recognition
dc.subject	Speech processing systems
dc.subject	Digital video
dc.subject	Vídeo digital
dc.subject	Televisió digital
dc.subject	Reconeixement automàtic de la parla
dc.title	UPC system for the 2015 MediaEval multimodal person discovery in broadcast TV task
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	This paper describes a system to identify people in broadcast TV shows in a purely unsupervised manner. The system outputs the identity of people that appear, talk and can be identified by using information appearing in the show (in our case, text with person names). Three types of monomodal technologies are used: speech diarization, video diarization and text detection / named entity recognition. These technologies are combined using a linear programming approach where some restrictions are imposed.

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