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IBPRIA
2009
Springer

A Comparison of Wavelet Based Spatio-temporal Decomposition Methods for Dynamic Texture Recognition

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A Comparison of Wavelet Based Spatio-temporal Decomposition Methods for Dynamic Texture Recognition
Abstract. This paper presents four spatio-temporal wavelet decompositions for characterizing dynamic textures. The main goal of this work is to compare the influence of spatial and temporal variables in the wavelet decomposition scheme. Its novelty is to establish a comparison between the only existing method [11] and three other spatio-temporal decompositions. The four decomposition schemes are presented and successfully applied on a large dynamic texture database. Construction of feature descriptors are tackled as well their relevance, and performances of the methods are discussed. Finally, future prospects are exposed. Key words: Spatio-temporal wavelets, dynamic textures, feature descriptors, video indexing
Sloven Dubois, Renaud Péteri, Michel M&eacu
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where IBPRIA
Authors Sloven Dubois, Renaud Péteri, Michel Ménard
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