Semantic concept extraction from sports video for highlight generation
Maheshkumar H. Kolekar, Somnath Sengupta · 2006
A multi-layered, hierarchical framework for generic sports event analysis has been proposed in this paper. Each layer uses different features such as short-time audio energy, short-time Zero Crossing Rate, color histogram, fractal dimension, motion, etc and classifiers such as Hidden Markov Model, threshold-based classifier, etc. We demonstrate our approach on sports video. The automated semantic concept extraction is ideally required for application such as highlight generation, indexing and retrieval.