Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/10049
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dc.contributor.authorGlantz, A.-
dc.contributor.authorKrutz, A.-
dc.contributor.authorSikora, T.-
dc.contributor.authorNunes, P.-
dc.contributor.authorPereira, F.-
dc.date.accessioned2015-10-29T18:16:00Z-
dc.date.available2015-10-29T18:16:00Z-
dc.date.issued2010-
dc.identifier.issn1380-7501por
dc.identifier.urihttps://ciencia.iscte-iul.pt/public/pub/id/16627-
dc.identifier.urihttp://hdl.handle.net/10071/10049-
dc.descriptionWOS:000278623800006 (Nº de Acesso Web of Science)-
dc.description.abstractSprite coding, as standardized in MPEG-4 Visual, can result in superior performance compared to common hybrid video codecs. We consider sprite coding, which significantly increases the objective as well as the subjective quality of coded video content. The main challenge of this approach is the segmentation of the foreground objects in a preprocessing step. We evaluate automatic object segmentation methods based on global motion estimation and background sprite generation. The objects are coded using the MPEG-4 Visual Main Profile and compared with the Advanced Simple Profile.por
dc.language.isoengpor
dc.publisherSpringer USpor
dc.rightsembargoedAccesspor
dc.subjectBackground modelingpor
dc.subjectGlobal motion estimationpor
dc.subjectMPEG-4 Visualpor
dc.subjectObject segmentationpor
dc.subjectSprite codingpor
dc.titleAutomatic MPEG-4 sprite coding: comparison of integrated object segmentation algorithmspor
dc.typearticleen_US
dc.pagination483-512por
dc.publicationstatusPublicadopor
dc.peerreviewedSimpor
dc.relation.publisherversionThe definitive version is available at: http://dx.doi.org/10.1007/s11042-010-0469-3por
dc.journalMultimedia Tools and Applicationspor
dc.distributionInternacionalpor
dc.volume49por
dc.number3por
degois.publication.firstPage483por
degois.publication.lastPage512por
degois.publication.issue3por
degois.publication.titleMultimedia Tools and Applicationspor
dc.date.updated2015-10-29T18:14:23Z-
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