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.
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© 2009 Springer-Verlag Berlin Heidelberg
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Weerachat, K., Chantrapornchai, C. (2009). Minimizing Video Data Using Looping Background Detection Technique. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_95
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DOI: https://doi.org/10.1007/978-3-642-10467-1_95
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10466-4
Online ISBN: 978-3-642-10467-1
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