You will find here some examples of achievements which illustrate part of our research and knowledge dissemination activities.
Under construction, coming soon!
Dynamic Textures
Our past works were focused on dynamic texture analysis and characterization. Many dynamic textures can be modeled as large scale propagating wavefronts and local oscillating phenomena. After introducing a formal model for dynamic textures, the morphological component analysis (MCA) approach with a well-chosen dictionary is used to retrieve the components of dynamic textures We define two new strategies for adaptive thresholding in the MCA framework, which greatly reduce the computation time when applied on videos. Our recent work were focused on dynamic texture analysis and characterization. Many dynamic textures can be modeled as large scale propagating wavefronts and local oscillating phenomena. After introducing a formal model for dynamic textures, the morphological component analysis (MCA) approach with a well-chosen dictionary is used to retrieve the components of dynamic textures We define two new strategies for adaptive thresholding in the MCA framework, which greatly reduce the computation time when applied on videos.
Sloven Dubois, Renaud Péteri and Michel Ménard
IEEE Transactions on Circuits and Systems for Video Technology, vol.22, no.2, pp.188-201, Feb. 2012.