Highlight summarization in golf videos using audio signals

Hyoung-Gook Kim; Jin Young Kim

doi:10.1117/12.765955

28 January 2008 Highlight summarization in golf videos using audio signals

Hyoung-Gook Kim, Jin Young Kim

Proceedings Volume 6820, Multimedia Content Access: Algorithms and Systems II; 68200G (2008) https://doi.org/10.1117/12.765955
Event: Electronic Imaging, 2008, San Jose, California, United States

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.

Citation Download Citation

Hyoung-Gook Kim and Jin Young Kim "Highlight summarization in golf videos using audio signals", Proc. SPIE 6820, Multimedia Content Access: Algorithms and Systems II, 68200G (28 January 2008); https://doi.org/10.1117/12.765955

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