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Proceedings Paper

Sport video shot segmentation and classification
Author(s): Rozenn Dahyot; Niall Rea; Anil C. Kokaram
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Paper Abstract

This paper considers the statistics of local appearance based measures that are suitable for the visual parsing of sport events. The moments of the colour information are computed, and the shape content in the frames is characterised by the moments of local shape measures. Their generation process is very low cost. The temporal evolution of the features then is modelled with a Hidden Markov Model. The HMM is used to generate higher level information by classifying the shots as close ups, court views, crowd shots and so on. The paper illustrates how those simple features, coupled with the HMM, can be used for parsing snooker and tennis footages.

Paper Details

Date Published: 23 June 2003
PDF: 10 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.503127
Show Author Affiliations
Rozenn Dahyot, Trinity College (Ireland)
Niall Rea, Trinity College (Ireland)
Anil C. Kokaram, Trinity College (Ireland)

Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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