DocumentCode
3707225
Title
Dynamic textures clustering using a hierarchical Pitman-Yor process mixture of Dirichlet distributions
Author
Wentao Fan;Nizar Bouguila
Author_Institution
Huaqiao University, Department of Computer Science and Technology, Xiamen, China
fYear
2015
Firstpage
296
Lastpage
300
Abstract
This paper proposes a hierarchical Pitman-Yor (HPY) process mixture of Dirichlet distributions. It can be viewed as an extension of our previous works that have considered Dirich-let process mixtures of Dirichlet distributions (i.e. infinite Dirichlet mixture models). The proposed model is learned via a variational Bayes approach and applied to the challenging problem of dynamic textures clustering.
Keywords
"Mixture models","Modeling","Bayes methods","Video sequences","Inference algorithms","Indexes","Dynamics"
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2015 IEEE International Conference on
Type
conf
DOI
10.1109/ICIP.2015.7350807
Filename
7350807
Link To Document