Browse DORAS
Browse Theses
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

A query description model based on basic semantic unit composite Petri-Net for soccer video

Lao, Songyang and Smeaton, Alan F. and Jones, Gareth J.F. and Lee, Hyowon (2004) A query description model based on basic semantic unit composite Petri-Net for soccer video. In: MIR 2004 - 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, 15-16 October 2004, New York, USA.

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


Digital video networks are making available increasing amounts of sports video data. The volume of material on offer means that sports fans often rely on prepared summaries of game highlights to follow the progress of their favourite teams. A significant application area for automated video analysis technology is the generation of personalized highlights of sports events. One of the most popular sports around world is soccer. A soccer game is composed of a range of significant events, such as goal scoring, fouls, and substitutions. Automatically detecting these events in a soccer video can enable users to interactively design their own highlights programmes. From an analysis of broadcast soccer video, we propose a query description model based on Basic Semantic Unit Composite Petri-Nets (BSUCPN) to automatically detect significant events within soccer video. Firstly we define a Basic Semantic Unit (BSU) set for soccer videos based on identifiable feature elements within a soccer video, Secondly we design Composite Petri-Net (CPN) models for semantic queries and use these to describe BSUCPNs for semantic events in soccer videos. A particular strength of this approach is that users are able to design their own semantic event queries based on BSUCPNs to search interactively within soccer videos. Experimental results based on recorded soccer broadcasts are used to illustrate the potential of this approach.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Additional Information:This workshop was in conjunction with ACM Multimedia 2004: 12th Annual Conference, October 10-16, 2004, New York City, USA.
Uncontrolled Keywords:Information Search and Retrieval; query formulation; retrieval models; video analysis; query languages;
Subjects:Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Publisher:Association for Computing Machinery
Official URL:
ID Code:379
Deposited On:31 Mar 2008 by DORAS Administrator. Last Modified 04 Feb 2009 11:56

Download statistics

Archive Staff Only: edit this record