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Semantic shot classification in soccer videos via playfield ratio and object size considerations.


Citation

Abdul Halin, Alfian and Mohd Sharef, Nurfadhlina and Jantan, Azrul Hazri (2013) Semantic shot classification in soccer videos via playfield ratio and object size considerations. Journal of Convergence Information Technology, 8 (4). pp. 402-413. ISSN 1975-9320

Abstract / Synopsis

This paper presents a semantic shot classification algorithm for soccer videos. Generally, each shot within a match video is assigned either a far or close up-view class label. Initially, the playfield region for each frame within a shot is identified through low-level color image processing. An additional property is then considered namely the largest object size overlapping the playfield. Class labels are then accordingly assigned to each frame based on carefully constructed rule-sets. Majority voting is finally performed where the dominant frame labels within each shot is used as the ultimate class label. Experiments conducted on six soccer matches with varying camera shooting styles have been very promising, where the additional consideration of largest object size is able to significantly reduce the number of misclassifications.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Publisher: Advanced Institute of Convergence Information Technology
Keywords: Shot classification; Scene classification; Soccer video analysis.
Depositing User: Nida Hidayati Ghazali
Date Deposited: 03 Jun 2014 12:40
Last Modified: 08 Sep 2015 10:00
URI: http://psasir.upm.edu.my/id/eprint/30545
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