Abstract
In this paper, we present an audio-based event detection approach shown to be effective when applied to the Sports broadcast data. The main benefit of this approach is the ability to recognise patterns that indicate high levels of crowd response which can be correlated to key events. By applying Hidden Markov Model-based classifiers, where the predefined content classes are parameterised using Mel-Frequency Cepstral Coefficients, we were able to eliminate the need for defining a heuristic set of rules to determine event detection, thus avoiding a two-class approach shown not to be suitable for this problem. Experimentation indicated that this is an effective method for classifying crowd response in Soccer matches, thus providing a basis for automatic indexing and summarisation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Y.L. Chang, W. Zeng, I. Kamel, and R. Alonso. Integrated image and speech analysis for content-based video indexing. In ICMCS, pages 306–313. IEEE, 1996.
D. Keislar E. Wold, T. Blum and J. Wheaton. Content-based classification, search, and retrieval of audio. In In IEEE Multimedia, volume 3, pages 27–36. IEEE, 1996.
Y. Gong, T. S. Lim, and H.C. Chua. Automatic parsing of tv soccer programs. In ICMCS, pages 167–174, Washington DC, May 1995.
TiVo Inc. http://www.tivo.com/. Last visited 24th April 2003.
S. Intille and A. Bobick. Visual tracking using closed worlds. Technical report, MIT Media Laboratory, 1995. http://web.media.mit.edu/ intille/.
A.K. Jain, R.P.W. Duin, and J. Mao. Statistical pattern recognition: A review. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(1):4–37, January 2000.
J.P. Cambell Jnr. Speaker recognition: A tutorial. In Proceedings of the IEEE, volume 85, pages 1437–1462, September 1997.
J. Kittler, K. Messer, W. Christmas, B Levienaise-Obadia, and D. Koubaroulis. Generation of semantic cues for sports video annotation. In ICIP, pages 26–29, Thessaloniki, Greece, October 2001.
K. Kobla, D. Doermann, and D. DeMenthon. Identification of sports videos using replay, text, and camera motion features. In Conference on Storage and Retrieval for Media Databases, volume 3972, pages 332–343. SPIE, January 2000.
C. Li and G. Biswas. A bayesian approach to temporal data clustering using hidden markov models. In ICML, pages 543–550, Stanford, California, 2000.
M. R. Naphade, A. Garg, and T. S. Huang. Duration dependent input output markov models for audio-visual event detection. In ICME, Tokyo, Japan, August 2001. IEEE.
OPTA. http://www.opta.co.uk/. Last visited 24th April 2003.
D. Pye. Content-based methods for the management of digital music. In ICASSP, volume IV, pages 2437–2400, 2000.
L. Rabiner and B.H. Juang. Fundamentals of Speech Recognition. Prentice Hall, Englewood Cliffs, NJ, USA, 1993.
Y. Rui, A. Gupta, and A. Acero. Automatically extracting highlights for tv baseball programs. In ACM Multimedia, pages 105–115, LA, 2000.
Sky+. http://www.sky.com/. Last visited 24th April 2003.
P. van Beek, H. Pan, and M. I. Sezan. Detection of slow-motion replay segments in sports video for highlights generation. In ICASSP, Utah, May 7–11 2001.
Y. Wang, Z. Liu, and J. Huang. Multimedia content analysis using both audio and visual clues. In IEEE Signal Processing Magazine, volume 17, pages 12–36. 2000.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Baillie, M., Jose, J.M. (2003). Audio-Based Event Detection for Sports Video. In: Bakker, E.M., Lew, M.S., Huang, T.S., Sebe, N., Zhou, X.S. (eds) Image and Video Retrieval. CIVR 2003. Lecture Notes in Computer Science, vol 2728. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45113-7_30
Download citation
DOI: https://doi.org/10.1007/3-540-45113-7_30
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40634-1
Online ISBN: 978-3-540-45113-6
eBook Packages: Springer Book Archive