HAL: hal-00662719, version 1

Detailed view

Export this paper BibTeX - EndNote - TEI - RefWorks -

ICIP'12, États-Unis (2012)

Compact Representations of Stationary Dynamic Textures

Gui-Song Xia 1, Sira Ferradans 1, Gabriel Peyré 1, Jean-François Aujol 2

(2012-09)

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.

1:	CEntre de REcherches en MAthématiques de la DEcision (CEREMADE)
	CNRS : UMR7534 – Université Paris IX - Paris Dauphine
2:	Institut de Mathématiques de Bordeaux (IMB)
	CNRS : UMR5251 – Université Sciences et Technologies - Bordeaux I – Université Victor Segalen - Bordeaux II

Subject

:

Computer Science/Signal and Image Processing Engineering Sciences/Signal and Image processing

Keyword(s): Dynamic texture – texture synthesis – autoregressive process – spot noise

hal-00662719, version 1

http://hal.archives-ouvertes.fr/hal-00662719

oai:hal.archives-ouvertes.fr:hal-00662719

From: Gabriel Peyré <>

Submitted on: Wednesday, 25 January 2012 10:24:19

Updated on: Wednesday, 23 May 2012 21:40:41