Paper
10 January 2003 Automatic extraction of soccer video highlights using a combination of motion and audio features
Romain Cabasson, Ajay Divakaran
Author Affiliations +
Proceedings Volume 5021, Storage and Retrieval for Media Databases 2003; (2003) https://doi.org/10.1117/12.476291
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
We present a technique for rapidly generating highlights of soccer videos using peaks in audio volume in conjunction with temporal patterns of motion activity extracted in the compressed domain. Our intuition is that any interesting event, such as a goal, in a soccer match leads to an interruption of the game for a non-trivial duration. Furthermore, interesting events are associated with a sharp increase (or peak) in audio volume since the crowd noise goes up in anticipation of the event or as a result of the event. We thus use the temporal patterns of motion activity around each audio peak to detect and capture interesting events. Our preliminary results indicate that the scheme works well for a variety of soccer content from different parts of the world. The computational simplicity of our scheme enables rapid and flexible generation of highlights.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Romain Cabasson and Ajay Divakaran "Automatic extraction of soccer video highlights using a combination of motion and audio features", Proc. SPIE 5021, Storage and Retrieval for Media Databases 2003, (10 January 2003); https://doi.org/10.1117/12.476291
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Cited by 20 scholarly publications.
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KEYWORDS
Video

Feature extraction

Video compression

Cameras

Motion measurement

Binary data

Computing systems

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