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