Golf video browsing system using three stage audio segmentation

Author

Jun-Young Lee ; Hyoung-Gook Kim

Author_Institution

Dept. of Electron. Convergence Eng., Kwangwoon Univ., Seoul, South Korea

fYear

2013

fDate

15-18 Dec. 2013

Firstpage

102

Lastpage

105

Abstract

In this paper, we propose a golf video browsing system using three stage audio segmentation. To increase the accuracy of audio segment boundaries for golf video browsing on digital video recorder, the proposed three-stage audio segmentation algorithm consists of Gaussian Mixture Model (GMM)-based classification, GMM-Linear Discriminant Analysis (LDA)-based classification, and occupation ratio-based segmentation. The detected audio segment is synchronized with the video frame for the extraction of thumbnails for use in the intelligent browsing of golf videos.

Keywords

Gaussian processes; audio signal processing; feature extraction; mixture models; online front-ends; pattern classification; signal detection; video recording; GMM LDA classification; GMM linear discriminant analysis; Gaussian mixture model; audio segment detection; digital video recorder; golf video intelligent browsing system; occupation ratio segmentation; three-stage audio segmentation algorithm; thumbnail extraction; video frame; Filtering algorithms; Noise; Speech; TV; Audio Segmentation; Browsing; Gaussian Mixture Model; Linear Discriminant Analisys;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technologies (WICT), 2013 Third World Congress on

Conference_Location

Hanoi

Type

conf

DOI

10.1109/WICT.2013.7113118

Filename

7113118