Content-based analysis for video from snooker broadcasts

  • Authors:

  • H. Denman;N. Rea;A. Kokaram

  • Affiliations:

  • Electronic and Electrical Engineering Department, University of Dublin, Trinity College, Dublin, Ireland;Electronic and Electrical Engineering Department, University of Dublin, Trinity College, Dublin, Ireland;Electronic and Electrical Engineering Department, University of Dublin, Trinity College, Dublin, Ireland

  • Venue:
  • Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
  • Year:
  • 2003

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Abstract

This paper presents three new tools appropriate for content analysis of sports, applied to footage from snooker broadcasts in particular. The first tool is a new feature for parsing a sequence based on geometry without the need for deriving 3D information. The second tool allows events to be detected where an event is characterised by an object leaving the scene at a particular location. The final tool is a mechanism for summarising motion in a shot for use in a content-based summary. As a matter of course, the paper considers a number of enabling techniques such as the removal of irrelevant objects and object tracking using a particle filter. The paper shows that by exploiting context, a convincing summary can be made for snooker footage.