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Multiwavelet Video Coding Based on DCT Time Domain Filtering

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Transactions on Edutainment VII

Part of the book series: Lecture Notes in Computer Science ((TEDUTAIN,volume 7145))

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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.

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References

  1. Taubman, D.S., Marcellin, M.W., Rabbani, M.: JPEG2000: Image compression fundamentals, standards and practice. Journal of Electronic Imaging (2002)

    Google Scholar 

  2. 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)

    Article  MathSciNet  MATH  Google Scholar 

  3. Strela, V.: Multiwavelets: Theory and applications, Ph.D. dissertation, Mass. Inst. Technol., Cambridge (1996)

    Google Scholar 

  4. 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)

    Google Scholar 

  5. 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)

    Google Scholar 

  6. 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)

    Google Scholar 

  7. 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)

    Article  Google Scholar 

  8. 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)

    Google Scholar 

  9. Otoniel, L., Miguel, M.R., Pablo, P., et al.: Low bit-rate video coding with 3D lower trees. Computer Science 6077, 256–263 (2010)

    Google Scholar 

  10. 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)

    Google Scholar 

  11. Chien, J.C.: Low bit-rate color video compression using multiwavelets in three dimensions. [doctoral dissertation]: University of Pittsburgh (2005)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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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

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  • 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)

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