A decision tree approach for scene pattern recognition and extraction in snooker videos
Jiang, Y, Jiang, J and Palmer, IJ (2009) A decision tree approach for scene pattern recognition and extraction in snooker videos In: 6th International Conference, ICIAR 2009, 2009-07-06 - 2009-07-08, Halifax, Canada.
Full text not available from this repository.Abstract
Video content processing and analysis is going through a transition from low-level feature based techniques to high-level semantics based approaches. In this paper, we describe such a transition that low level features are processed to extract four semantic patterns, leading to high-level content analysis for snooker videos. Such extracted semantics and recognised patterns include: (i) full court scenes for snooker match, (ii) close-up view of snooker match; (iii) player’s face, and (iv) audience’s faces. Experimental results support that the proposed technique works well with snooker videos, providing a significant potential for automatic snooker video processing such as annotation, summarization and editing.
Item Type: | Conference or Workshop Item (UNSPECIFIED) | ||||||||||||
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Divisions : | Surrey research (other units) | ||||||||||||
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Date : | 2009 | ||||||||||||
DOI : | 10.1007/978-3-642-02611-9_93 | ||||||||||||
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Depositing User : | Symplectic Elements | ||||||||||||
Date Deposited : | 17 May 2017 12:25 | ||||||||||||
Last Modified : | 23 Jan 2020 17:50 | ||||||||||||
URI: | http://epubs.surrey.ac.uk/id/eprint/835260 |
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