Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/41811
DC FieldValueLanguage
dc.contributor.authorSánchez, Javieren_US
dc.contributor.authorMorel, Jean-Michelen_US
dc.date.accessioned2018-09-03T10:44:27Z-
dc.date.available2018-09-03T10:44:27Z-
dc.date.issued2018en_US
dc.identifier.issn1936-4954en_US
dc.identifier.urihttp://hdl.handle.net/10553/41811-
dc.description.abstractVideo stabilization aims at removing the undesirable effects of camera motion by estimating its shake and applying a smoothing compensation. This paper proposes a unified mathematical analysis and classification of existing smoothing strategies. We assume that the apparent velocity induced by the camera is estimated as a set of global parametric models, typically those of a homography. We classify the existing smoothing strategies into compositional and additive methods and discuss their technical issues, particularly the definition of the boundary conditions. Our discussion of the various alternatives leads to clear-cut conclusions. It rules out the global compositional methods in favor of local linear methods and finds the adequate boundary conditions. We also show that the best smoothing strategy yields a scale-space analysis of the camera ego-motion parameters. Analyzing this scale-space on examples, we show how it is highly characteristic of the camera path, permitting us to compute ego-motion frequencies and to detect periodic ego-motions like walking or running.en_US
dc.languageengen_US
dc.relation.ispartofSIAM Journal on Imaging Sciencesen_US
dc.sourceSIAM Journal on Imaging Sciences,v. 11, p. 219-251en_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.titleMotion smoothing strategies for 2D video stabilizationen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1137/17M1127156
dc.identifier.scopus85045662957
dc.identifier.isi000428946200008-
dc.contributor.authorscopusid22735426600
dc.contributor.authorscopusid57203072257
dc.description.lastpage251-
dc.identifier.issue1-
dc.description.firstpage219-
dc.relation.volume11-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.contributor.daisngid1335721
dc.contributor.daisngid105260
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Sanchez, J
dc.contributor.wosstandardWOS:Morel, JM
dc.date.coverdateEnero 2018
dc.identifier.ulpgces
dc.description.sjr1,097
dc.description.jcr2,514
dc.description.sjrqQ1
dc.description.jcrqQ1
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptAnálisis de Imagen e Ingeniería de Software-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0001-8514-4350-
crisitem.author.parentorgDepartamento de Informática y Sistemas-
crisitem.author.fullNameSánchez Pérez, Javier-
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