This paper presents a strategy to handle incomplete knowledge during acquisition process. The goal of this research is to develop formal tools that benefit the law of semantic bala...
Behavior understanding and semantic interpretation of dynamic visual scenes have attracted a lot of attention in computer vision research community. Although the use of surveillan...
Ahmed Azough, Alexandre Delteil, Fabien De Marchi,...
This paper presents a novel semantic-oriented video analysis system for the basketball game videos. Based on Bayesian Belief Network (BBN), it may bridge this gap between the low-...
We describe a mid-level approach for action recognition. From an input video, we extract salient spatio-temporal structures by forming clusters of trajectories that serve as candi...
This paper presents a system that exploits the benefits of modelling multimedia presentations as structured documents within the context of interactive digital television systems....