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» Semantic image segmentation using morphological tools
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ICIP
2003
IEEE
15 years 11 months ago
Structuralizing educational videos based on presentation content
This work addresses the challenge of extracting structure in educational and training media based on the type of material that is presented during lectures and training sessions. ...
Chitra Dorai, Vincent Oria, Viswanath Neelavalli
ACCV
2009
Springer
15 years 4 months ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock
ICIP
2002
IEEE
15 years 2 months ago
Representation of motion activity in hierarchical levels for video indexing and filtering
A method for video indexing and filtering based on motion activity characteristics in hierarchical levels is proposed. To extract motion activity information, an MPEG (MPEG-1/2) v...
Xinding Sun, Ajay Divakaran, B. S. Manjunath
TNN
2010
216views Management» more  TNN 2010»
14 years 4 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
69
Voted
CIVR
2008
Springer
213views Image Analysis» more  CIVR 2008»
14 years 11 months ago
Language modeling for bag-of-visual words image categorization
In this paper, we propose two ways of improving image classification based on bag-of-words representation [25]. Two shortcomings of this representation are the loss of the spatial...
Pierre Tirilly, Vincent Claveau, Patrick Gros