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dc.contributor.authorSan Miguel Avedillo, Juan Carlos 
dc.contributor.authorMartínez Sánchez, José María 
dc.contributor.otherUAM. Departamento de Tecnología Electrónica y de las Comunicacioneses_ES
dc.date.accessioned2015-05-28T09:48:11Z
dc.date.available2015-05-28T09:48:11Z
dc.date.issued2013-04
dc.identifier.citationMachine Vision and Applications 24.3 (2013): 493-512en_US
dc.identifier.issn0932-8092 (print)en_US
dc.identifier.issn1432-1769 (online)en_US
dc.identifier.urihttp://hdl.handle.net/10486/666451
dc.descriptionThe final publication is available at Springer via http://dx.doi.org/10.1007/s00138-011-0397-xen_US
dc.description.abstractThis paper presents a distributed and scalable framework for video analysis that automatically estimates the optimal workflow required for the analysis of different application domains. It integrates several technologies related with data acquisition, visual analysis tools, communication protocols, and data storage. Moreover, hierarchical semantic representations are included in the framework to describe the application domain, the analysis capabilities, and the user preferences. The automatic determination of the analysis workflow is performed by selecting the most appropriate tools for each domain among the available ones in the framework by means of exploiting the relations between the semantic descriptions. The experimental results in the video surveillance domain demonstrate that the proposed approach successfully composes optimal workflows for video analysis applications.en_US
dc.description.sponsorshipThis work has been partially supported by the Spanish Government (TEC2011-25995), by the Consejería de Educación of the Comunidad de Madrid and by The European Social Fund.en_US
dc.format.extent20 pág.es_ES
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherSpringer Berlin Heidelberg
dc.relation.ispartofMachine Vision and Applicationsen_US
dc.rights© Springer-Verlag Berlin Heidelberg 2013
dc.subject.otherAutomatic workflow compositionen_US
dc.subject.otherDistributed frameworken_US
dc.subject.otherSelf-configurable analysisen_US
dc.subject.otherSemantic analysisen_US
dc.subject.otherVideo analysisen_US
dc.titleA semantic-guided and self-configurable framework for video analysisen_US
dc.typearticleen_US
dc.subject.ecienciaInformáticaes_ES
dc.subject.ecienciaTelecomunicacioneses_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1007/s00138-011-0397-x
dc.identifier.doi10.1007/s00138-011-0397-x
dc.identifier.publicationfirstpage493
dc.identifier.publicationissue3
dc.identifier.publicationlastpage512
dc.identifier.publicationvolume24
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.contributor.groupTratamiento e Interpretación de Vídeo (ING EPS-006)es_ES
dc.rights.accessRightsopenAccessen
dc.facultadUAMEscuela Politécnica Superior


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