In this paper, we focus on the use of three different techniques that support automatic derivation of video content from raw video data, namely, a spatio-temporal rule-based method, hidden Markov models, and dynamic Bayesian networks. These techniques are validated in the particular domain of tennis and Formula 1 race videos. We present the experimental results for the detection of events such as net-playing, rally, service, and forehand stroke among others in the Tennis domain, as well as excited speech, start, fly-out, passing, and highlights in the Formula 1 domain.
|Name||IEEE Conference Proceedings|
|Publisher||IEEE Computer Society|
|Conference||International Conference on Image Processing, ICIP 2003|
|Period||14/09/03 → 17/09/03|
|Other||14-17 Sept. 2003|
- DB-MMR: MULTIMEDIA RETRIEVAL