Abstract
To improve the video encoding efficiency and deal with the real-time demerits of the multiwavelet time-domain filtering in the 3D multiwavelet, a multiwavelet video coding scheme based on DCT(Digital Cosine Transform) time-domain filtering is proposed in this paper. Firstly, the multiwavelet transformation is applied to get the spatial domain of the frame in video. Then, 3D transformation coefficients are obtained by the DCT time-domain filtering on the multiwavelet coefficients. Finally the 3D transformation coefficients are coded to be embed bitstream by using the symmetric 3-D SPIHT(Set partitioning in hierarchical trees). The experimental results indicate that the new method outperforms those based on 3D DMWT(discrete multiwavelet transform) in terms of PSNR(peak signal to noise ration) with better video quality at the same compression ratio, and it shows lower complexity.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Taubman, D.S., Marcellin, M.W., Rabbani, M.: JPEG2000: Image compression fundamentals, standards and practice. Journal of Electronic Imaging (2002)
Geronimo, J.S., Hardin, D.P., Massopust, P.R.: Fractal functions and wavelet expansions based on several scaling functions. J. Approx. Theory 78(3), 373–401 (1994)
Strela, V.: Multiwavelets: Theory and applications, Ph.D. dissertation, Mass. Inst. Technol., Cambridge (1996)
Chuang, H.Y.H., Birch, D.P., Liu, L.C., et al.: A High Speed Shift-Invariant Wavelet Transform Chip for Video Compression. In: Proceedings of IEEE Computer Society Annual Symposium on VLSI, pp. 125–131 (2002)
Karlsson, G., Vetterli, M.: Subband coding of video signals for packet switched networks. In: Procedings of SPIE Conference on Visual Communications and Image Processing, vol. 845, pp. 446–456 (1987)
Schaefer, R., Schwarz, H., Marpe, D., Schierl, T., Wiegand, T.: MCTF and scalability extension of H.264/AVC and its application to video transmission, storage, and surveillance. In: Visual Communications and Image Processing, vol. 5960 (2005)
Zhao, G.L., Yu, H.P., Yang, Y.: An adaptive GOP structure selection for haar-like MCTF encoding based on mutual information. Multimedia Tools and Applications 43(1), 25–43 (2009)
Chan, K.W., Lee, M.C.: 3D-DCT quantization as a compression technique for video sequences. In: 1997 International Conference on Virtual Systems and Multimedia, p. 188 (1997)
Otoniel, L., Miguel, M.R., Pablo, P., et al.: Low bit-rate video coding with 3D lower trees. Computer Science 6077, 256–263 (2010)
Sankaralingam, E., Thangaraj, V., Vijayamani, S., et al.: Video compression using multiwavelet and multistage vector quantization. The International Arab Journal of Information Technology 6(4), 385–393 (2009)
Chien, J.C.: Low bit-rate color video compression using multiwavelets in three dimensions. [doctoral dissertation]: University of Pittsburgh (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Fang, Z., Luo, G., Yang, J., Yang, S. (2012). Multiwavelet Video Coding Based on DCT Time Domain Filtering. In: Pan, Z., Cheok, A.D., Müller, W., Chang, M., Zhang, M. (eds) Transactions on Edutainment VII. Lecture Notes in Computer Science, vol 7145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29050-3_21
Download citation
DOI: https://doi.org/10.1007/978-3-642-29050-3_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29049-7
Online ISBN: 978-3-642-29050-3
eBook Packages: Computer ScienceComputer Science (R0)