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.

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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)
Divisions :	Surrey research (other units)
Authors :	Name Email ORCID Jiang, Y Jiang, J jianmin.jiang@surrey.ac.uk Palmer, IJ
Date :	2009
DOI :	10.1007/978-3-642-02611-9_93
Contributors :	Contribution Name Email ORCID publisher Springer,
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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