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 [ISSN 1936-4954], v. 11(1), p. 219-251en_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.titleMotion smoothing strategies for 2D video stabilizationen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1137/17M1127156en_US
dc.identifier.scopus85045662957-
dc.identifier.isi000428946200008-
dc.contributor.authorscopusid22735426600-
dc.contributor.authorscopusid57203072257-
dc.description.lastpage251en_US
dc.identifier.issue1-
dc.description.firstpage219en_US
dc.relation.volume11en_US
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 2018en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INFen_US
dc.description.sjr1,097
dc.description.jcr2,514
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR IUCES: Centro de Tecnologías de la Imagen-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0001-8514-4350-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameSánchez Pérez, Javier-
Appears in Collections:Artículos
Adobe PDF (2,79 MB)
Show simple item record

SCOPUSTM   
Citations

7
checked on Mar 24, 2024

WEB OF SCIENCETM
Citations

6
checked on Feb 25, 2024

Page view(s)

105
checked on Feb 3, 2024

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.