Minimizing Video Data Using Looping Background Detection Technique

Authors:
Kawin Weerachat;Chantana Chantrapornchai
Affiliations:
Department of Computing, Faculty of Science, Silpakorn University, Nakorn Pathom, Thailand;Department of Computing, Faculty of Science, Silpakorn University, Nakorn Pathom, Thailand
Venue:
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2009

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Abstract

In this paper, we present a method which identifies the looping background and extract foreground objects from the looping background. The approach are based on the binarlizing and denoising techniques. The results show that we can identify the looping background correctly. After extracting the looping background objects from the benchmark files, we can reduce the size of the files by 85.82 % on average.