DocumentCode :
2118414
Title :
Sports highlights generation bas ed on acoustic events detection: A rugby case study
Author :
Baijal, Anant ; Jaeyoun Cho ; Woojung Lee ; Byeong-Seob Ko
Author_Institution :
DMC R&D Center, SAMSUNG Electron. Co., Ltd., Suwon, South Korea
fYear :
2015
fDate :
9-12 Jan. 2015
Firstpage :
20
Lastpage :
23
Abstract :
We approach the challenging problem of generating highlights from sports broadcasts utilizing audio information only. A language-independent, multi-stage classification approach is employed for detection of key acoustic events which then act as a platform for summarization of highlight scenes. Objective results and human experience indicate that our system is highly efficient.
Keywords :
Gaussian processes; signal classification; speech processing; acoustic events detection; multistage GMM classification approach; rugby case study; speech classification; sports broadcasts; sports highlight generation; Acoustics; Consumer electronics; Engines; Feature extraction; Games; Noise; Speech;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2015 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-7542-6
Type :
conf
DOI :
10.1109/ICCE.2015.7066303
Filename :
7066303
Link To Document :
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