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Proceedings Paper

Hierarchical structure for audio-video based semantic classification of sports video sequences
Author(s): M. H. Kolekar; S. Sengupta
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Paper Abstract

A hierarchical structure for sports event classification based on audio and video content analysis is proposed in this paper. Compared to the event classifications in other games, those of cricket are very challenging and yet unexplored. We have successfully solved cricket video classification problem using a six level hierarchical structure. The first level performs event detection based on audio energy and Zero Crossing Rate (ZCR) of short-time audio signal. In the subsequent levels, we classify the events based on video features using a Hidden Markov Model implemented through Dynamic Programming (HMM-DP) using color or motion as a likelihood function. For some of the game-specific decisions, a rule-based classification is also performed. Our proposed hierarchical structure can easily be applied to any other sports. Our results are very promising and we have moved a step forward towards addressing semantic classification problems in general.

Paper Details

Date Published: 31 July 2006
PDF: 9 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 596017 (31 July 2006); doi: 10.1117/12.631545
Show Author Affiliations
M. H. Kolekar, Indian Institute of Technology, Kharagpur (India)
S. Sengupta, Indian Institute of Technology, Kharagpur (India)


Published in SPIE Proceedings Vol. 5960:
Visual Communications and Image Processing 2005
Shipeng Li; Fernando Pereira; Heung-Yeung Shum; Andrew G. Tescher, Editor(s)

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