In this paper, a motion-based approach for detecting highlevel semantic events in video sequences is presented. Its main characteristic is its generic nature, i.e. it can be direc...
We propose a novel statistical method for motion detection and background maintenance for a mobile observer. Our method is based on global motion estimation and statistical backgro...
This paper analyzes the contribution of semantic roles to TimeML event recognition and classification. For that purpose, an approach using conditional random fields with a variety...
This paper presents an overview of our recent work on managing image and video data. The first half of the paper describes a representation for the semantic spatial layout of vide...
Shawn D. Newsam, Jelena Tesic, Lei Wang, B. S. Man...
An analytical framework for modeling the performance of a single TCP session in the presence of random packet loss is presented that is based on a semi-Markov model for the window ...