Abstract
This paper presents the tools in a system for creating a se-mantically meaningful summary of broadcast Snooker footage. The system parses the sequence, identifies relevant camera views and tracks ball movement. Two new algorithms for video retrieval are presented. The first is the use of the 2nd order moment of the Hough Transform of the image for sequence parsing. The second method is the use of enclosed regions for detecting the disappearance of objects. The moment feature captures the geometry of the scene without extracting the 3D scene geometry. It is expected that this new feature is applicable to most sports in which a playing area is delineated by field lines.
Work sponsored by Enterprise Ireland Project MUSE-DTV (Machine Understanding of Sports Events for Digital Television)
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© 2002 Springer-Verlag Berlin Heidelberg
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Denman, H., Rea, N., Kokaram, A. (2002). Content Based Analysis for Video from Snooker Broadcasts. In: Lew, M.S., Sebe, N., Eakins, J.P. (eds) Image and Video Retrieval. CIVR 2002. Lecture Notes in Computer Science, vol 2383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45479-9_21
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DOI: https://doi.org/10.1007/3-540-45479-9_21
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