By Topic

A Novel Approach to Commercial Detection in News Video

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Shijin Li ; Hohai University, China ; Hao Li ; Zhijian Wang

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.

Published in:

Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on  (Volume:2 )

Date of Conference:

July 30 2007-Aug. 1 2007