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dc.contributor.authorLeón Cristóbal, Míriam
dc.contributor.authorVilaplana Besler, Verónica
dc.contributor.authorGasull Llampallas, Antoni
dc.contributor.authorMarqués Acosta, Fernando
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.identifier.citationLeon, M. [et al.]. Caption text extraction for indexing purposes using a hierarchical region-based image model. A: International Conference on Image Processing. "16th International Conference on Image Processing". 2009, p. 1869-1872.
dc.description.abstractThis paper presents a technique for detecting caption text for indexing purposes. This technique is to be included in a generic indexing system dealing with other semantic concepts. The various object detection algorithms are required to share a common image description which, in our case, is a hierarchical region-based image model. Caption text objects are detected combining texture and geometric features, which are estimated using wavelet analysis and taking advantage of the region-based image model, respectively. Analysis of the region hierarchy provides the final caption text objects.
dc.format.extent4 p.
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshSemantic Web
dc.subject.lcshSemantic structures in computation
dc.subject.lcshImage processing
dc.titleCaption text extraction for indexing purposes using a hierarchical region-based image model
dc.typeConference lecture
dc.subject.lemacImatges -- Processament
dc.subject.lemacWeb semàntica
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
local.citation.authorLeon, M.; Vilaplana, V.; Gasull, A.; Marques, F.
local.citation.contributorInternational Conference on Image Processing
local.citation.publicationName16th International Conference on Image Processing

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