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dc.contributor.authorde Oliveira Barra, Gabriel
dc.contributor.authorLux, Mathias
dc.contributor.authorGiró Nieto, Xavier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2016-07-19T08:33:19Z
dc.date.issued2016
dc.identifier.citationde Oliveira Barra, G., Lux, M., Giro, X. Large scale content-based video retrieval with LIvRE. A: International Workshop on Content-Based Multimedia Indexing. "2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI)". Bucharest: Institute of Electrical and Electronics Engineers (IEEE), 2016.
dc.identifier.urihttp://hdl.handle.net/2117/88881
dc.description.abstractThe fast growth of video data requires robust, efficient, and scalable systems to allow for indexing and retrieval. These systems must be accessible from lightweight, portable and usable interfaces to help users in management and search of video content. This demo paper presents LIvRE, an extension of an existing open source tool for image retrieval to support video indexing. LIvRE consists of three main system components (pre-processing, indexing and retrieval), as well as a scalable and responsive HTML5 user interface accessible from a web browser. LIvRE supports image-based queries, which are efficiently matched with the extracted frames of the indexed videos.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::So, imatge i multimèdia::Creació multimèdia::Vídeo digital
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subject.lcshDigital video
dc.subject.lcshImage processing--Digital techniques
dc.titleLarge scale content-based video retrieval with LIvRE
dc.typeConference lecture
dc.subject.lemacVídeo digital
dc.subject.lemacImatges -- Processament -- Tècniques digitals
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.identifier.doi10.1109/CBMI.2016.7500266
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org.recursos.biblioteca.upc.edu/stamp/stamp.jsp?tp=&arnumber=7500266
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac18566818
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//TEC2013-43935-R/ES/PROCESADO DE INFORMACION HETEROGENEA Y SEÑALES EN GRAFOS PARA BIG DATA. APLICACION EN CRIBADO DE ALTO RENDIMIENTO, TELEDETECCION, MULTIMEDIA Y HCI./
dc.date.lift10000-01-01
local.citation.authorde Oliveira Barra, G.; Lux, M.; Giro, X.
local.citation.contributorInternational Workshop on Content-Based Multimedia Indexing
local.citation.pubplaceBucharest
local.citation.publicationName2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI)


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