Semantic concept extraction from sports video for highlight generation

M. H.  Kolekar; S. Sengupta

2nd International ICST Conference on Mobile Multimedia Communications

Research Article

Semantic concept extraction from sports video for highlight generation

Cite: BibTeX Plain Text

@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

M. H. Kolekar ¹^,*, S. Sengupta¹^,*

1: Indian Institute of Technology, Kharagpur, India

*Contact email: mhkolekar@ece.iitkgp.ernet.in, ssg@iitkgp.ac.in

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.

Keywords: semantic concept sports highlights association a priori algorithm

Published: 2006-09-20
Publisher: ACM

: http://dx.doi.org/10.1145/1374296.1374324