Mixtures of dynamic textures

Antoni B. Chan; Nuno Vasconcelos

doi:10.1109/ICCV.2005.151

Mixtures of dynamic textures

Antoni B. Chan
, Nuno Vasconcelos

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

77 Citations (Scopus)

Abstract

A dynamic texture is a linear dynamical system used to model a single video as a sample from a spatio-temporal stochastic process. In this work, we introduce the mixture of dynamic textures, which models a collection of videos consisting of different visual processes as samples from a set of dynamic textures. We derive the EM algorithm for learning a mixture of dynamic textures, and relate the learning algorithm and the dynamic texture mixture model to previous works. Finally, we demonstrate the applicability of the proposed model to problems that have traditionally been challenging for computer vision. © 2005 IEEE.

Original language	English
Title of host publication	Proceedings of the IEEE International Conference on Computer Vision
Pages	641-647
Volume	I
DOIs	https://doi.org/10.1109/ICCV.2005.151
Publication status	Published - 2005
Externally published	Yes
Event	10th IEEE International Conference on Computer Vision (ICCV 2005) - Beijing, China Duration: 17 Oct 2005 → 20 Oct 2005

Conference

Conference	10th IEEE International Conference on Computer Vision (ICCV 2005)
Place	China
City	Beijing
Period	17/10/05 → 20/10/05

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10.1109/ICCV.2005.151

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AB - A dynamic texture is a linear dynamical system used to model a single video as a sample from a spatio-temporal stochastic process. In this work, we introduce the mixture of dynamic textures, which models a collection of videos consisting of different visual processes as samples from a set of dynamic textures. We derive the EM algorithm for learning a mixture of dynamic textures, and relate the learning algorithm and the dynamic texture mixture model to previous works. Finally, we demonstrate the applicability of the proposed model to problems that have traditionally been challenging for computer vision. © 2005 IEEE.

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U2 - 10.1109/ICCV.2005.151

DO - 10.1109/ICCV.2005.151

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 076952334

SN - 9780769523347

VL - I

SP - 641

EP - 647

BT - Proceedings of the IEEE International Conference on Computer Vision

T2 - 10th IEEE International Conference on Computer Vision (ICCV 2005)

Y2 - 17 October 2005 through 20 October 2005

ER -

Mixtures of dynamic textures

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