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A generative model for concurrent image retrieval and ROI segmentation

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dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Procesado Multimediaes
dc.contributor.authorGonzález Díaz, Ivánes
dc.contributor.authorBaz-Hormigos, Carlos E.es
dc.contributor.authorBerdonces, Moiséses
dc.contributor.authorDíaz de María, Fernandoes
dc.date.accessioned2015-09-18T09:26:06Z
dc.date.available2015-09-18T09:26:06Z
dc.date.issued2012
dc.descriptionProceedings of: 10th International Workshop on Content-Based Multimedia Indexing (CBMI). Annecy, France, 27-29 June 2012.en
dc.description.abstractThis paper proposes a probabilistic generative model that concurrently tackles the problems of image retrieval and detection of the region-of-interest (ROI). By introducing a latent variable that classifies the matches as true or false, we specifically focus on the application of geometric constrains to the keypoint matching process and the achievement of robust estimates of the geometric transformation between two images showing the same object. Our experiments in a challenging image retrieval database demonstrate that our approach outperforms the most prevalent approach for geometrically constrained matching, and compares favorably to other state-of-the-art methods. Furthermore, the proposed technique concurrently provides very good segmentations of the region of interest.en
dc.description.sponsorshipThis work has been partially supported by the project AFICUS, co-funded by the Spanish Ministry of Industry, Trade and Tourism, and the European Fund for Regional Development, with Ref.: TSI-020110- 2009-103, and the National Grant TEC2011-26807 of the Spanish Ministry of Science and Innovation.en
dc.description.statusPublicadoes
dc.format.extent6
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitation2012 10th International Workshop pon Content- Based Multimedia Indexing (CBMI). (pp. 90-95). IEEE.en
dc.identifier.doi10.1109/CBMI.2012.6269844
dc.identifier.isbn978-1-4673-2369-7 (online)
dc.identifier.isbn978-1-4673-2368-0 (print)
dc.identifier.issn1949-3983
dc.identifier.publicationfirstpage90
dc.identifier.publicationlastpage95
dc.identifier.publicationtitle2012 10th International Workshop pon Content-Based Multimedia Indexing (CBMI)en
dc.identifier.urihttps://hdl.handle.net/10016/21584
dc.identifier.uxxiCC/0000017765
dc.language.isoengen
dc.publisherIeee - The Institute Of Electrical And Electronics Engineers, Incen
dc.relation.eventdate27-29 June 2012.en
dc.relation.eventnumber10
dc.relation.eventplaceAnnecy, Franceen
dc.relation.eventtitle10th International Workshop on Content-Based Multimedia Indexing (CBMI)en
dc.relation.projectIDGobierno de España. TEC2011-26807es
dc.relation.projectIDGobierno de España. TSI-020110- 2009-103es
dc.relation.publisherversionhttp://dx.doi.org/10.1109/CBMI.2012.6269844
dc.rights© 2012 IEEE.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherImage retrievalen
dc.subject.otherImage segmentationen
dc.titleA generative model for concurrent image retrieval and ROI segmentationen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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