Article

A query description model based on basic semantic unit composite petri-nets for soccer video analysis

Authors:

Songyang Lao,

Alan F. Smeaton,

Gareth J. F. Jones,

Hyowon LeeAuthors Info & Claims

MIR '04: Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval

Pages 143 - 150

https://doi.org/10.1145/1026711.1026735

Published: 15 October 2004 Publication History

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Abstract

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

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Bai LLao SZhang WJones GSmeaton A(2007)A Semantic Event Detection Approach for Soccer Video based on Perception Concepts and Finiste State MachinesProceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services10.1109/WIAMIS.2007.12Online publication date: 6-Jun-2007
https://dl.acm.org/doi/10.1109/WIAMIS.2007.12
Bai LLao SJones GSmeaton A(2007)A Semantic Content Analysis Model for Sports Video Based on Perception Concepts and Finite State MachinesMultimedia and Expo, 2007 IEEE International Conference on10.1109/ICME.2007.4284923(1407-1410)Online publication date: Jul-2007
https://doi.org/10.1109/ICME.2007.4284923
Bai LLao SZhang WJones GSmeaton A(2007)Video Semantic Content Analysis Framework Based on Ontology Combined MPEG-7Adaptive Multimedial Retrieval: Retrieval, User, and Semantics10.1007/978-3-540-79860-6_19(237-250)Online publication date: 5-Jul-2007
https://dl.acm.org/doi/10.1007/978-3-540-79860-6_19

Index Terms

A query description model based on basic semantic unit composite petri-nets for soccer video analysis
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
        Video summarization
2. Information systems
  1. Data management systems
    1. Query languages
  2. Information retrieval
    1. Information retrieval query processing
    2. Retrieval models and ranking

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Published In

MIR '04: Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval

October 2004

334 pages

ISBN:1581139403

DOI:10.1145/1026711

General Chairs:
Michael S. Lew
LIACS Media Lab, The Netherlands
,
Nicu Sebe
University of Amsterdam, The Netherlands
,
Chabane Djeraba
LIFL, France

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 15 October 2004

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MM04: 2004 12th Annual ACM International Conference on Multimedia

October 15 - 16, 2004

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Bai LLao SZhang WJones GSmeaton A(2007)A Semantic Event Detection Approach for Soccer Video based on Perception Concepts and Finiste State MachinesProceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services10.1109/WIAMIS.2007.12Online publication date: 6-Jun-2007
https://dl.acm.org/doi/10.1109/WIAMIS.2007.12
Bai LLao SJones GSmeaton A(2007)A Semantic Content Analysis Model for Sports Video Based on Perception Concepts and Finite State MachinesMultimedia and Expo, 2007 IEEE International Conference on10.1109/ICME.2007.4284923(1407-1410)Online publication date: Jul-2007
https://doi.org/10.1109/ICME.2007.4284923
Bai LLao SZhang WJones GSmeaton A(2007)Video Semantic Content Analysis Framework Based on Ontology Combined MPEG-7Adaptive Multimedial Retrieval: Retrieval, User, and Semantics10.1007/978-3-540-79860-6_19(237-250)Online publication date: 5-Jul-2007
https://dl.acm.org/doi/10.1007/978-3-540-79860-6_19

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Soccer video analysis by ball, player and referee tracking

Automatic multi-level summarizations generation based on basic semantic unit for sports video

Real-time multiview analysis of soccer matches for understanding interactions between ball and players

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