Given a video and associated text, we propose an automatic annotation scheme in which we employ a latent topic model to generate topic distributions from weighted text and then mo...
Chris Engels, Koen Deschacht, Jan Hendrik Becker, ...
This paper describes a data-driven approach for generating photorealistic animations of human motion. Each animation sequence follows a user-choreographed path and plays continuou...
Matthew Flagg, Atsushi Nakazawa, Qiushuang Zhang, ...
We present a change detection method resistant to global and local illumination variations for use in visual surveillance scenarios. Approaches designed thus far for robustness to...
This paper reports on an empirical study that uses a Grounded Theory approach to investigate the creative practices of Machinima filmmakers. Machinima is a new digital film produc...
Nicholas Davis, Boyang Li, Brian O'Neill, Mark Rie...
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...