Automatic Real-Time Selection and Annotation of Highlight Scenes in Televised Soccer
Summary :
We describe an online method for selecting and annotating highlight scenes in soccer matches being televised. The stadium crowd noise and the play-by-play announcer's voice are used as input signals. Candidate scenes for highlights are extracted from the crowd noise by dynamic thresholding and spectral envelope analysis. Using a dynamic threshold solves the problem in conventional methods of how to determine an appropriate threshold. Semantic-meaning information about the kind of play and the related team and player is extracted from the announcer's commentary by using domain-based rules. The information extracted from the two types of audio input is integrated to generate segment-metadata of highlight scenes. Application of the method to six professional soccer games has confirmed its effectiveness.
- Publication
- IEICE TRANSACTIONS on Information Vol.E90-D No.1 pp.224-232
- Publication Date
- 2007/01/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section on Advanced Image Technology)
- Category
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Masanori SANO, Ichiro YAMADA, Hideki SUMIYOSHI, Nobuyuki YAGI, "Automatic Real-Time Selection and Annotation of Highlight Scenes in Televised Soccer" in IEICE TRANSACTIONS on Information,
vol. E90-D, no. 1, pp. 224-232, January 2007, doi: .
Abstract: We describe an online method for selecting and annotating highlight scenes in soccer matches being televised. The stadium crowd noise and the play-by-play announcer's voice are used as input signals. Candidate scenes for highlights are extracted from the crowd noise by dynamic thresholding and spectral envelope analysis. Using a dynamic threshold solves the problem in conventional methods of how to determine an appropriate threshold. Semantic-meaning information about the kind of play and the related team and player is extracted from the announcer's commentary by using domain-based rules. The information extracted from the two types of audio input is integrated to generate segment-metadata of highlight scenes. Application of the method to six professional soccer games has confirmed its effectiveness.
URL: https://global.ieice.org/en_transactions/information/10.1587/e90-d_1_224/_p
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@ARTICLE{e90-d_1_224,
author={Masanori SANO, Ichiro YAMADA, Hideki SUMIYOSHI, Nobuyuki YAGI, },
journal={IEICE TRANSACTIONS on Information},
title={Automatic Real-Time Selection and Annotation of Highlight Scenes in Televised Soccer},
year={2007},
volume={E90-D},
number={1},
pages={224-232},
abstract={We describe an online method for selecting and annotating highlight scenes in soccer matches being televised. The stadium crowd noise and the play-by-play announcer's voice are used as input signals. Candidate scenes for highlights are extracted from the crowd noise by dynamic thresholding and spectral envelope analysis. Using a dynamic threshold solves the problem in conventional methods of how to determine an appropriate threshold. Semantic-meaning information about the kind of play and the related team and player is extracted from the announcer's commentary by using domain-based rules. The information extracted from the two types of audio input is integrated to generate segment-metadata of highlight scenes. Application of the method to six professional soccer games has confirmed its effectiveness.},
keywords={},
doi={},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - Automatic Real-Time Selection and Annotation of Highlight Scenes in Televised Soccer
T2 - IEICE TRANSACTIONS on Information
SP - 224
EP - 232
AU - Masanori SANO
AU - Ichiro YAMADA
AU - Hideki SUMIYOSHI
AU - Nobuyuki YAGI
PY - 2007
DO -
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2007
AB - We describe an online method for selecting and annotating highlight scenes in soccer matches being televised. The stadium crowd noise and the play-by-play announcer's voice are used as input signals. Candidate scenes for highlights are extracted from the crowd noise by dynamic thresholding and spectral envelope analysis. Using a dynamic threshold solves the problem in conventional methods of how to determine an appropriate threshold. Semantic-meaning information about the kind of play and the related team and player is extracted from the announcer's commentary by using domain-based rules. The information extracted from the two types of audio input is integrated to generate segment-metadata of highlight scenes. Application of the method to six professional soccer games has confirmed its effectiveness.
ER -
English
