Compact Representations of Stationary Dynamic Textures
Aujol, Jean-François; Peyré, Gabriel; Ferradans, Sira; Xia, Gui-Song (2012), Compact Representations of Stationary Dynamic Textures, 19th IEEE International Conference on Image Processing (ICIP), 2012 - proceedings, IEEE, p. 2993-2996
Type
Communication / ConférenceExternal document link
http://hal.archives-ouvertes.fr/hal-00662719Date
2012Conference title
2012 IEEE International Conference on Image Processing (ICIP)Conference date
2012-10Conference city
OrlandoConference country
Etats-UnisBook title
19th IEEE International Conference on Image Processing (ICIP), 2012 - proceedingsPublisher
IEEE
ISBN
978-1-4673-2534-9
Pages
2993-2996
Publication identifier
Metadata
Show full item recordAbstract (EN)
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.Subjects / Keywords
spot noise; autoregressive process; texture synthesis; Dynamic textureRelated items
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