Research Article
Semantic concept extraction from sports video for highlight generation
@INPROCEEDINGS{10.1145/1374296.1374324, author={M. H. Kolekar and S. Sengupta}, title={Semantic concept extraction from sports video for highlight generation}, proceedings={2nd International ICST Conference on Mobile Multimedia Communications}, publisher={ACM}, proceedings_a={MOBIMEDIA}, year={2006}, month={9}, keywords={semantic concept sports highlights association a priori algorithm}, doi={10.1145/1374296.1374324} }- M. H. Kolekar
S. Sengupta
Year: 2006
Semantic concept extraction from sports video for highlight generation
MOBIMEDIA
ACM
DOI: 10.1145/1374296.1374324
Abstract
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.
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