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
Copyright © 2006–2024 ACM
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