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Compact Representations of Stationary Dynamic Textures

dc.contributor.authorAujol, Jean-François
dc.contributor.authorPeyré, Gabriel
HAL ID: 1211
dc.contributor.authorFerradans, Sira
dc.contributor.authorXia, Gui-Song
dc.date.accessioned2012-02-07T12:50:15Z
dc.date.available2012-02-07T12:50:15Z
dc.date.issued2012
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/8053
dc.language.isoenen
dc.subjectspot noiseen
dc.subjectautoregressive processen
dc.subjecttexture synthesisen
dc.subjectDynamic textureen
dc.subject.ddc621.3en
dc.titleCompact Representations of Stationary Dynamic Texturesen
dc.typeCommunication / Conférence
dc.contributor.editoruniversityotherInstitut de Mathématiques de Bordeaux (IMB) http://www.math.u-bordeaux.fr/IMB/ CNRS : UMR5251 – Université Sciences et Technologies - Bordeaux I – Université Victor Segalen - Bordeaux II;France
dc.description.abstractenThis paper addresses the problem of modeling stationary color dynamic textures with Gaussian processes. We detail two particular classes of such processes that are parameterized by a small number of compactly supported linear filters, so-called dynamical textons (\emph{dynTextons}). The first class extends previous works on the spot noise texture model to the dynamical setting. It directly estimates the dynTexton to fit a translation-invariant covariance from the exemplar. The second class is a specialization of the auto-regressive (AR) dynamic texture method to the setting of space and time stationary textures. This allows one to parameterize the process covariance using only a few linear filters. Numerical experiments on a database of stationary textures shows that the methods, despite their extreme simplicity, provide state of the art results to synthesize space stationary dynamical texture.en
dc.identifier.citationpages2993-2996en
dc.relation.ispartoftitle19th IEEE International Conference on Image Processing (ICIP), 2012 - proceedings
dc.relation.ispartofpublnameIEEE
dc.relation.ispartofdate2012
dc.relation.isversionofdoihttp://dx.doi.org/10.1109/ICIP.2012.6467529
dc.identifier.urlsitehttp://hal.archives-ouvertes.fr/hal-00662719en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelTraitement du signalen
dc.relation.ispartofisbn978-1-4673-2534-9
dc.relation.conftitle2012 IEEE International Conference on Image Processing (ICIP)
dc.relation.confdate2012-10
dc.relation.confcityOrlando
dc.relation.confcountryEtats-Unis


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