dc.contributor.author | San Miguel Avedillo, Juan Carlos | |
dc.contributor.author | Martínez Sánchez, José María | |
dc.contributor.other | UAM. Departamento de Tecnología Electrónica y de las Comunicaciones | es_ES |
dc.date.accessioned | 2015-05-28T09:48:11Z | |
dc.date.available | 2015-05-28T09:48:11Z | |
dc.date.issued | 2013-04 | |
dc.identifier.citation | Machine Vision and Applications 24.3 (2013): 493-512 | en_US |
dc.identifier.issn | 0932-8092 (print) | en_US |
dc.identifier.issn | 1432-1769 (online) | en_US |
dc.identifier.uri | http://hdl.handle.net/10486/666451 | |
dc.description | The final publication is available at Springer via http://dx.doi.org/10.1007/s00138-011-0397-x | en_US |
dc.description.abstract | This 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.sponsorship | This 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.extent | 20 pág. | es_ES |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | Springer Berlin Heidelberg | |
dc.relation.ispartof | Machine Vision and Applications | en_US |
dc.rights | © Springer-Verlag Berlin Heidelberg 2013 | |
dc.subject.other | Automatic workflow composition | en_US |
dc.subject.other | Distributed framework | en_US |
dc.subject.other | Self-configurable analysis | en_US |
dc.subject.other | Semantic analysis | en_US |
dc.subject.other | Video analysis | en_US |
dc.title | A semantic-guided and self-configurable framework for video analysis | en_US |
dc.type | article | en_US |
dc.subject.eciencia | Informática | es_ES |
dc.subject.eciencia | Telecomunicaciones | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1007/s00138-011-0397-x | |
dc.identifier.doi | 10.1007/s00138-011-0397-x | |
dc.identifier.publicationfirstpage | 493 | |
dc.identifier.publicationissue | 3 | |
dc.identifier.publicationlastpage | 512 | |
dc.identifier.publicationvolume | 24 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | en |
dc.contributor.group | Tratamiento e Interpretación de Vídeo (ING EPS-006) | es_ES |
dc.rights.accessRights | openAccess | en |
dc.facultadUAM | Escuela Politécnica Superior | |