Abstract
Generalized Principle Component Analysis (GPCA) is a global solution to identify a mixture of linear models for signals. This method has been proved to be efficient in compressing natural images. In this paper we try to introduce GPCA into video coding. We focus on encoding residual frames with GPCA in place of classical DCT, and also propose to use it in MCTF based scalable video coding. Experiments show that GPCA really gets better PSNR with the same amount of data components as DCT, and this method is promising in our scalable video coding scheme.
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© 2006 Springer-Verlag Berlin Heidelberg
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Yao, L., Liu, J., Wu, J. (2006). An Approach to the Compression of Residual Data with GPCA in Video Coding. In: Zhuang, Y., Yang, SQ., Rui, Y., He, Q. (eds) Advances in Multimedia Information Processing - PCM 2006. PCM 2006. Lecture Notes in Computer Science, vol 4261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11922162_30
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DOI: https://doi.org/10.1007/11922162_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-48766-1
Online ISBN: 978-3-540-48769-2
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