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Browse Journals & Magazines > Circuits and Systems for Vide ...> Volume:12 Issue:9 Help

Unsupervised video-shot segmentation and model-free anchorperson detection for news video story parsing

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2 Author(s)
Xinbo Gao ; Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China ; Xiaoou Tang

News story parsing is an important and challenging task in a news video library system. We address two important components in a news video story parsing system: shot boundary detection and anchorperson detection. First, an unsupervised fuzzy c-means algorithm is used to detect video-shot boundaries in order to segment a news video into video shots. Then, a graph-theoretical cluster analysis algorithm is implemented to classify the video shots into anchorperson shots and news footage shots. Because of its unsupervised nature, the algorithms require little human intervention. The efficacy of the proposed method is extensively tested on more than five hours of news programs.

Published in:
Circuits and Systems for Video Technology, IEEE Transactions on  (Volume:12 ,  Issue: 9 )

Date of Publication: Sep 2002

Page(s):
765 - 776
ISSN :
1051-8215
INSPEC Accession Number:
7393151
Digital Object Identifier :
10.1109/TCSVT.2002.800510
Product Type:
Journals & Magazines
Date of Current Version :
07 November 2002
Issue Date :
Sep 2002
Sponsored by :
IEEE Circuits and Systems Society

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