Abstract
This research centers on providing digital video on demand to portable receivers through wireless communications. The three main technological issues for wireless video communication are compression efficiency, error recovery, and low-power implementation. The algorithmic goal is to develop compression algorithms that maintain consistent visual quality for image and video signals transmitted over a noisy channel. These algorithms must therefore provide efficient compression and provisions for recovery in situations of severely degraded transmission. The hardware goal is to demonstrate low-power decoder modules that implement the decompression algorithms with recovery capability for lost information.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
E. K. Tsem, A. C. Hung, and T. H.-Y. Meng, “Video Compression for Portable Communications Using Lattice Vector Quantization of Subband Coefficients,” submitted to 1993 IEEE Workshop on VLSI Signal Processing.
J. W. Woods and S.D. O’Neil, “Subband Coding of Images,” IEEE Trans. on Acoust. Speech Signal Processing, ASSP-34:1278–1288, October 1986.
J. W. Woods, editor, Subband Image Coding, Kluwer Academic Publishers, Boston, 1991.
T. R. Fisher, “A Pyramid Vector Quantizer,” IEEE Trans. Inform. Theory, IT-32:568–583, July 1986.
T. R. Fisher, “Geometric Source Coding and Vector Quantization,” IEEE Trans. Inform. Theory, IT-35:137–145, January 1989.
H. C. Tseng and T. R. Fisher, “Transform and Hybrid Transform/DPCM Coding of Images Using Pyramid Vector Quantization,” IEEE Trans, on Comm., Vol. COM-35 no l.:79–86, January 1987.
R. C. Reininger and J.D. Gibson, “Distributions of the Two-Dimensional DCT Coefficients for Images,” IEEE Trans. on Comm., Vol. COM-31: 835–839, June 1983.
M. Barlaud, P. Sole, M. Antonini, and P. Mathieu, “A Pyramidal Scheme for Lattice Vector Quantization of Wavelet Transform Coefficients Applied to Image Coding,” Proc IEEE ICASSP 92, pp. 401–404, March 1992.
T. Senoo and B. Girod, “Vector Quantization for Entropy Coding of Image Subbands,” IEEE Trans. on Image Processing, vol. 1, no. 4, pp 526–533, October 1992.
G. C. Clark, Jr., and J. B. Cain, Error-Correction Coding for Digital Communications, Plenum Press, New York, 1981.
M. Horowitz, private communication.
S. S. Hemami and T. H.-Y. Meng, “Spatial and Temporal Video Reconstruction for Non-layered Transmission,” Fifth International Workshop on Packet Video, March 22–23 1993.
CCITT SG XV, Working Party XV/1, Expert Group on ATM Video Coding, “Preliminary Working Draft of Test Model 0,” Doc. no. AVC-212, March 1992.
S. S. Hemami and T. H.-Y. Meng, “Reconstruction of Lost Transform Coefficients Using a Smoothing Criterion,” Proc. of Picture Coding Symposium 1993.
Y. Wang and Q.-F. Zhu, “Signal Loss Recovery in DCT-based Image and Video Codecs,” SPIE Conf. on Visual Communication and Image Processing, vol. 1605, Boston, Nov. 1991, pp. 667–678.
F. C. Jeng and S. H. Lee, “Concealment of Bit Error and Cell Loss in Inter-frame Coded Video Transmission,” Int. Conf. Comm. ′91, Denver, Colorado, June 1991, pp. 496–500.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1994 Springer Science+Business Media New York
About this chapter
Cite this chapter
Meng, T.H., Tsern, E.K., Hung, A.C., Hemami, S.S., Gordon, B.M. (1994). Video Compression for Wireless Communications. In: Rappaport, T.S., Woerner, B.D., Reed, J.H. (eds) Wireless Personal Communications. The Springer International Series in Engineering and Computer Science, vol 262. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2758-9_10
Download citation
DOI: https://doi.org/10.1007/978-1-4615-2758-9_10
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-6190-9
Online ISBN: 978-1-4615-2758-9
eBook Packages: Springer Book Archive