In this paper we propose an approach for action recognition based on a vocabulary forest of local motionappearance features. Large numbers of features with associated motion vecto...
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-...
Augmented Reality (AR) in multimedia gaming is a dynamic and exciting field of research. One of the challenges is to have multiple users interacting in the networked augmented rea...
Daniel Chun-Ming Leung, Pak-Shing Au, Irwin King, ...
We present a generative model approach to explore intrinsic semantic structures in sport videos, e.g., the camera view in American football games. We will invoke the concept of se...
Certain observable features (tags), shared by a group of similar agents, can be used to signal intentions and can be effectively used to infer unobservable properties. Such infere...