DocumentCode :
3472796
Title :
A 3D discrete curvelet based method for segmenting dynamic textures
Author :
Dubois, Sloven ; Péteri, Renaud ; Ménard, Michel
Author_Institution :
Lab. Math., Image et Applic. (MIA), La Rochelle, France
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
1373
Lastpage :
1376
Abstract :
This paper presents a new approach for segmenting a video sequence containing dynamic textures. The proposed method is based on a 2D+T curvelet transform and an octree hierarchical representation. The curvelet transform enables to outline spatio-temporal structures of a given scale and orientation. The octree structure based on motion coherence enables a better spatio-temporal segmentation than a direct application of the 2D+T curvelet transform. Our segmentation method is successfully applied on video sequences of dynamic textures. Future prospects are finally exposed.
Keywords :
discrete wavelet transforms; image segmentation; image sequences; image texture; octrees; 2D+T curvelet transform; 3D discrete curvelet based method; dynamic texture segmentation; motion coherence; octree hierarchical representation; spatio-temporal segmentation method; spatio-temporal structures; video sequence segmentation; Discrete transforms; Discrete wavelet transforms; Frequency domain analysis; Image segmentation; Image sequences; Layout; Signal processing; Surface texture; Video sequences; 2D+T discrete curvelet transform; dynamic textures; octree structure; video segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5413352
Filename :
5413352
Link To Document :
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