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http://dx.doi.org/10.6109/jkiice.2012.16.6.1199

Scene Change Detection Using Local Information  

Shin, Seong-Yoon (군산대학교 컴퓨터정보공학과)
Jin, Chan-Yong (원광대학교 정보.전자상거래학부)
Rhee, Yang-Won (군산대학교 컴퓨터정보공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.16, no.6, 2012 , pp. 1199-1203 More about this Journal
Abstract
This paper proposes a Scene Change Detection method using the local decision tree and clustering. The local decision tree detects cluster boundaries wherein local scenes occur, in such a way as to compare time similarity distributions among the difference values between detected scenes and their adjacent frames, and group an unbroken sequence of frames with similarities in difference value into a cluster unit.
Keywords
Decision Tree; Clustering; Scene Change Detection; Frame;
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