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. ...
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...
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...
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...
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...