This paper describes a novel application of Statistical Learning Theory (SLT) for motion prediction. SLT provides analytical VC-generalization bounds for model selection; these bo...
Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Ch...
The relationship between the error propagation effect and the hypothesis coef?cients of the multi-hypothesis motion compensated prediction (MHMCP) is analyzed in this work. MHMCP ...
In this paper, we present a modified snake model for the problem of general video object tracking. We introduce a new external force into the snake equation based on the predictiv...
We investigate the usage of edge-based inpainting as an intra prediction method in block-based image compression. The joint utilization of edge information and the well-known Lapl...
Performance in terms of accuracy is one of the most important goal of a biometric system. Hence, having a measure which is able to predict the performance with respect to a partic...
Fernando Alonso-Fernandez, Michael C. Fairhurst, J...