Paper Abstract and Keywords |
Presentation |
2022-03-08 09:30
[Poster Presentation]
Highlight scene extraction based on Whistle sound for Amateur soccer games Kousei Yoshioka, Michiharu Niimi (KIT) EMM2021-109 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In order to watch a long sports video data efficiently, highlight scenes play an important role in such situations. For soccer games, there are several research works to extract highlight scenes from video data of terrestrial digital broadcasting and TV recordings based on image processing. However, in general video recordings of soccer games, such as practice games in club activities, it is difficult to extract highlight scenes from the images due to the various surrounding environments. The purpose of this study is to extract highlight scenes using acoustic event detection, using the whistle as an event. Since the whistle sound interrupts the game, it is thought that something, which may be important scene such as a goal, is taking place several seconds ago before the whistle sound. The feature vector of a whistle sound consists of MFCC and its first derivation. We used 2 real soccer games as club activities in school. As a result of experiments, the precision rate is about 80% and recall rate is about 70%. We confirmed that female cheers are frequently miss-classified as whistle sounds. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Soccer / Highlight scene extraction / Acoustic Event Detection / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 417, EMM2021-109, pp. 91-94, March 2022. |
Paper # |
EMM2021-109 |
Date of Issue |
2022-02-28 (EMM) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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EMM2021-109 |
Conference Information |
Committee |
EMM |
Conference Date |
2022-03-07 - 2022-03-08 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
(Primary: Online, Secondary: On-site) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Image and Sound Quality, Metrics for Perception and Recognition, Human Auditory and Visual System, etc. |
Paper Information |
Registration To |
EMM |
Conference Code |
2022-03-EMM |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Highlight scene extraction based on Whistle sound for Amateur soccer games |
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Soccer |
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Highlight scene extraction |
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Acoustic Event Detection |
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1st Author's Name |
Kousei Yoshioka |
1st Author's Affiliation |
Kyushu Institute of Technology (KIT) |
2nd Author's Name |
Michiharu Niimi |
2nd Author's Affiliation |
Kyushu Institute of Technology (KIT) |
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Speaker |
Author-1 |
Date Time |
2022-03-08 09:30:00 |
Presentation Time |
15 minutes |
Registration for |
EMM |
Paper # |
EMM2021-109 |
Volume (vol) |
vol.121 |
Number (no) |
no.417 |
Page |
pp.91-94 |
#Pages |
4 |
Date of Issue |
2022-02-28 (EMM) |
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