Mixed States Markov Random Fields with Symbolic Labels and Multidimensional Real Values
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[1] Patrick Bouthemy,et al. Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models , 2004, ECCV.
[2] L. Schwartz. Théorie des distributions , 1966 .
[3] B. Chalmond. Modeling and inverse problems in image analysis , 2003 .
[4] Patrick Bouthemy,et al. Learned probabilistic image motion models for event detection in videos , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[5] Patrick Bouthemy,et al. Mixed-State Markov Random Fields for Motion Texture Modeling and Segmentation , 2006, 2006 International Conference on Image Processing.
[6] P. Bouthemy,et al. Segmentation of motion textures using mixed-state Markov random fields , 2006, SPIE Optics + Photonics.
[7] Multi-parameter auto-models with applications to cooperative systems , 2007 .
[8] P. Bouthemy,et al. Probabilistic models of image motion for recognition of dynamic content in video , 2002 .
[9] C. Stiller,et al. Estimating motion in image sequences , 1999, IEEE Signal Process. Mag..
[10] Patrick Bouthemy,et al. Recognition of Dynamic Video Contents With Global Probabilistic Models of Visual Motion , 2006, IEEE Transactions on Image Processing.
[11] J. K. Hunter,et al. Measure Theory , 2007 .
[12] Mubarak Shah,et al. Motion-based recognition a survey , 1995, Image Vis. Comput..
[13] Patrick Bouthemy,et al. Mixed-State Auto-Models and Motion Texture Modeling , 2006, Journal of Mathematical Imaging and Vision.
[14] J. Besag. Spatial Interaction and the Statistical Analysis of Lattice Systems , 1974 .