Generic architecture for event detection in broadcast sports video

  • Authors:

  • Chris Poppe;Sarah De Bruyne;Rik Van de Walle

  • Affiliations:

  • Ghent University, Ledeberg-Ghent, Belgium;Ghent University, Ledeberg-Ghent, Belgium;Ghent University, Ledeberg-Ghent, Belgium

  • Venue:
  • Proceedings of the 3rd international workshop on Automated information extraction in media production
  • Year:
  • 2010

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Abstract

An increasing amount of digital sports content is generated and made available through broadcast and Internet. To deliver meaningful access for an end-user, summarizations or highlights of the content are necessary. Hence, the automatic extraction of these summarizations is a pre-requisite for efficient content delivery. In this paper, we will present an architecture that allows this automatic annotation of broadcast sports video. Sports video are particularly popular for end-users and have characteristics that can be exploited for automated analysis. However the large variations of such content (e.g., different soccer matches or even different sports) require a system that is generic or easily adaptable. As such, the focus of this paper is on the creation of a generic architecture for automated event detection in sports video. The different aspects of the architecture are explained and the systems is evaluated on different sports sequences.