Techniques for Automatic Video Content Derivation


Petkovic, M. and Mihajlovic, V. and Jonker, W. (2003) Techniques for Automatic Video Content Derivation. In: International Conference on Image Processing, ICIP 2003, 14-17 Sept. 2003, Barcelona, Spain (pp. pp. 611-614).

open access
Abstract: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.
Item Type:Conference or Workshop Item
Copyright:©2003 IEEE
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:
Official URL:
Export this item as:BibTeX
HTML Citation
Reference Manager


Repository Staff Only: item control page

Metis ID: 216365