Compact Representations of Stationary Dynamic Textures
hal.structure.identifier | CEntre de REcherches en MAthématiques de la DEcision [CEREMADE] | |
dc.contributor.author | XIA, Gui-Song | |
hal.structure.identifier | CEntre de REcherches en MAthématiques de la DEcision [CEREMADE] | |
dc.contributor.author | FERRADANS, Sira | |
hal.structure.identifier | CEntre de REcherches en MAthématiques de la DEcision [CEREMADE] | |
dc.contributor.author | PEYRÉ, Gabriel | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | AUJOL, Jean-François | |
dc.date.accessioned | 2024-04-04T02:25:35Z | |
dc.date.available | 2024-04-04T02:25:35Z | |
dc.date.issued | 2012-09 | |
dc.date.conference | 2012-09 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/189890 | |
dc.description.abstractEn | This 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. | |
dc.description.sponsorship | Adaptivité pour la représentation des images naturelles et des textures - ANR-08-EMER-0009 | |
dc.language.iso | en | |
dc.source.title | Proc. ICIP'12 | |
dc.subject.en | Dynamic texture | |
dc.subject.en | texture synthesis | |
dc.subject.en | autoregressive process | |
dc.subject.en | spot noise | |
dc.title.en | Compact Representations of Stationary Dynamic Textures | |
dc.type | Communication dans un congrès | |
dc.subject.hal | Informatique [cs]/Traitement du signal et de l'image | |
dc.subject.hal | Sciences de l'ingénieur [physics]/Traitement du signal et de l'image | |
bordeaux.page | ? | |
bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.conference.title | ICIP'12 | |
bordeaux.country | US | |
bordeaux.title.proceeding | Proc. ICIP'12 | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-00662719 | |
hal.version | 1 | |
hal.invited | non | |
hal.proceedings | oui | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-00662719v1 | |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Proc.%20ICIP'12&rft.date=2012-09&rft.spage=?&rft.epage=?&rft.au=XIA,%20Gui-Song&FERRADANS,%20Sira&PEYR%C3%89,%20Gabriel&AUJOL,%20Jean-Fran%C3%A7ois&rft.genre=unknown |
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