Semantic Event Detection and Classification in Cricket Video Sequence

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 l...

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Bibliographic Details
Published in2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing pp. 382 - 389
Main Authors Kolekar, M.H., Palaniappan, K., Sengupta, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2008
Subjects
Classification tree analysis
Computer graphics
Computer vision
cricket
Digital video broadcasting
Event detection
excitement detection
Games
Image processing
Layout
sports video
TV broadcasting
Video sequences
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Summary: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.
DOI:10.1109/ICVGIP.2008.102