NDLI: Semantic Event Detection and Classification in Cricket Video Sequence

Content Provider	IEEE Xplore Digital Library
Author	Kolekar, M.H. Palaniappan, K. Sengupta, S.
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci., Univ. of Missouri, Columbia, MO (Kolekar, M.H.; Palaniappan, K.; Sengupta, S.)
Abstract	In this paper, we present a novel hierarchical framework and effective algorithms for cricket event detection and classification. The proposed scheme performs a topdown video event detection and classification using hierarchical tree which avoids shot detection and clustering. In the hierarchy, at level-1, we use audio features, to extract excitement clips from the cricket video. At level-2, we classify excitement clips into real-time and replay segments. At level-3, we classify these segments into field view and non-field view based on dominant grass color ratio. At level-4a, we classify field view into pitch-view, long-view, and boundary view using motion-mask. At level-4b, we classify non-field view into close-up and crowd using edge density feature. At level-5a, we classify close-ups into the three frequently occurring classes batsman, bowler/fielder, umpire using jersey color feature. At level-5b, we classify crowd segment into the two frequently occurring classes spectator and playerspsila gathering using color feature. We show promising results, with correctly classified cricket events, enabling structural and temporal analysis, such as highlight extraction, and video skimming.
Starting Page	382
Ending Page	389
File Size	1014127
Page Count	8
File Format	PDF
ISBN	9780769534763
DOI	10.1109/ICVGIP.2008.102
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-16
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision Sports video Event detection Image processing Video sequences Excitement detection TV broadcasting Cricket Layout Games Computer graphics Classification tree analysis Digital video broadcasting
Content Type	Text
Resource Type	Article

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