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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 / Conférence
External document link
http://hal.archives-ouvertes.fr/hal-00662719
Date
2012
Conference title
2012 IEEE International Conference on Image Processing (ICIP)
Conference date
2012-10
Conference city
Orlando
Conference country
Etats-Unis
Book title
19th IEEE International Conference on Image Processing (ICIP), 2012 - proceedings
Publisher
IEEE
ISBN
978-1-4673-2534-9
Pages
2993-2996
Publication identifier
http://dx.doi.org/10.1109/ICIP.2012.6467529
Metadata
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Author(s)
Aujol, Jean-François
Peyré, Gabriel
Ferradans, Sira
Xia, Gui-Song
Abstract (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 texture

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