Title :
A Novel Approach to Commercial Detection in News Video
Author :
Li, Shijin ; Li, Hao ; Wang, Zhijian
Author_Institution :
Hohai Univ., Nanjing
fDate :
July 30 2007-Aug. 1 2007
Abstract :
The Detection of commercials in news video has been a challenging problem because of the diversity of the commercial programs. In this paper, we propose a novel algorithm for the detection of commercials in news program. In our method, firstly shot transition detection and anchorman shot recognition are conducted, then clustering analysis is employed to label commercial blocks roughly, finally the accurate boundaries of the commercials are marked by monitoring the visual discontinuity of the shots and the average duration of subsequent shots. The experiment results show our algorithm is efficient with high recall and precision rate.
Keywords :
object detection; pattern clustering; video signal processing; anchorman shot recognition; clustering analysis; firstly shot transition detection; news video commercial detection; Algorithm design and analysis; Clustering algorithms; Detectors; Distributed computing; Gunshot detection systems; Layout; Monitoring; Software engineering; TV; Videoconference;
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-2909-7
DOI :
10.1109/SNPD.2007.361
