• 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