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Proceedings Paper

Highlight summarization in golf videos using audio signals
Author(s): Hyoung-Gook Kim; Jin Young Kim
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Paper Abstract

In this paper, we present an automatic summarization of highlights in golf videos based on audio information alone without video information. The proposed highlight summarization system is carried out based on semantic audio segmentation and detection on action units from audio signals. Studio speech, field speech, music, and applause are segmented by means of sound classification. Swing is detected by the methods of impulse onset detection. Sounds like swing and applause form a complete action unit, while studio speech and music parts are used to anchor the program structure. With the advantage of highly precise detection of applause, highlights are extracted effectively. Our experimental results obtain high classification precision on 18 golf games. It proves that the proposed system is very effective and computationally efficient to apply the technology to embedded consumer electronic devices.

Paper Details

Date Published: 28 January 2008
PDF: 8 pages
Proc. SPIE 6820, Multimedia Content Access: Algorithms and Systems II, 68200G (28 January 2008); doi: 10.1117/12.765955
Show Author Affiliations
Hyoung-Gook Kim, Kwangwoon Univ. (South Korea)
Jin Young Kim, Kwangwoon Univ. (South Korea)

Published in SPIE Proceedings Vol. 6820:
Multimedia Content Access: Algorithms and Systems II
Theo Gevers; Ramesh C. Jain; Simone Santini, Editor(s)

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