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Classification of self-consumable highlights for soccer video summaries

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conference contribution
posted on 2004-01-01, 00:00 authored by D Tjondronegoro, Yi-Ping Phoebe Chen, B Pham
An effective scheme for soccer summarization is significant to improve the usage of this massively growing video data. The paper presents an extension to our recent work which proposed a framework to integrate highlights into play-breaks to construct more complete soccer summaries. The current focus is to demonstrate the benefits of detecting some specific audio-visual features during play-break sequences in order to classify highlights contained within them. The main purpose is to generate summaries which are self-consumable individually. To support this framework, the algorithms for shot classification and detection of near-goal and slow-motion replay scenes is described. The results of our experiment using 5 soccer videos (20 minutes each) show the performance and reliability of our framework.

History

Title of proceedings

2004 International Conference on Multimedia and Expo (ICME) : June 27-30, 2004, Taipei, Taiwan

Event

IEEE International Conference on Multimedia and Expo (2004 : Taipei, Taiwan)

Pagination

579 - 582

Publisher

IEEE Xplore

Location

Taipei, Taiwan

Place of publication

Piscataway, N.J.

Start date

2004-06-27

End date

2004-06-30

ISBN-13

9780780386044

ISBN-10

0780386043

Language

eng

Notes

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Publication classification

E1 Full written paper - refereed

Copyright notice

2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Editor/Contributor(s)

L Chen

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