By Topic

Video Break Detection based on Similarity Analysis and Temporal Statistical Characteristics

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

1 Author(s)
Jianjun Huang ; School of Mathematics and Computer Science, Fuzhou University, Fujian, P.R. China; State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, P.R. China. hngjnjn@163.com

Video shot boundary detection is a fundamental task in any kind of video content manipulation and retrieval. The area of shot boundary detection has been extensively studied, but achieving highly accurate detection results remains a challenge. In this paper, we present a novel algorithm for video cut detection. The algorithm is implemented and evaluated on the TRECVID benchmark platform. The experimental results show the effectiveness of the proposed approach. The algorithm provides a clue to the gradual transition detection

Published in:

2006 IEEE International Conference on Multimedia and Expo

Date of Conference:

9-12 July 2006