CFP last date
20 May 2024
Reseach Article

Secured Video Transmission at Low Bit Rate

Published on None 2011 by S. Vaidya, Poorva Waingankar, Sujata S. Dubal
International Conference and Workshop on Emerging Trends in Technology
Foundation of Computer Science USA
ICWET - Number 2
None 2011
Authors: S. Vaidya, Poorva Waingankar, Sujata S. Dubal
3e3fef85-ae91-4770-aa9a-b1d21fcf3442

S. Vaidya, Poorva Waingankar, Sujata S. Dubal . Secured Video Transmission at Low Bit Rate. International Conference and Workshop on Emerging Trends in Technology. ICWET, 2 (None 2011), 8-13.

@article{
author = { S. Vaidya, Poorva Waingankar, Sujata S. Dubal },
title = { Secured Video Transmission at Low Bit Rate },
journal = { International Conference and Workshop on Emerging Trends in Technology },
issue_date = { None 2011 },
volume = { ICWET },
number = { 2 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 8-13 },
numpages = 6,
url = { /proceedings/icwet/number2/2072-aca437/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and Workshop on Emerging Trends in Technology
%A S. Vaidya
%A Poorva Waingankar
%A Sujata S. Dubal
%T Secured Video Transmission at Low Bit Rate
%J International Conference and Workshop on Emerging Trends in Technology
%@ 0975-8887
%V ICWET
%N 2
%P 8-13
%D 2011
%I International Journal of Computer Applications
Abstract

In this paper a video signal processing algorithm is proposed which is Modified H.264/AVC as a solution for Bandwidth saving through LBR (Low Bit Rate) applications to ensure acceptable video quality. Based on this concept, where the intraframe pictures are hybrid wavelet-based coded and the interframe pictures are coded with a Modified H.264/AVC encoder and decoder is proposed. Use of Modified H.264/AVC algorithm shows that this proposed hybrid encoder and decoder not only retains the same quality of the video but also lowers down the bit rate of the video considerably. AES based encryption and decryption system is proposed for added security for transmission and reception. The proposed algorithms are characterized by their efficient compression ratio, good PSNR, MSE results and lower bit rate as well as its efficient implementation in MATLAB.

References
  1. Gary J. Sullivan, Senior Member, IEEE and Thomas Wiegand, “Video Compression-From Concepts to the H.264/AVC Standard”, Proceedings of the IEEE Trans. vol.93.No.1.January 2005.
  2. M. T. Orchard and G. J. Sullivan, “Overlapped block motion compensation: An estimation-theoretic approach,” IEEE Trans. Image Process., vol. 3, no. 5, pp. 693–699, Sep. 1994.
  3. Markus Flierl, T. Wiegand and B. Girod, “Rate-Constrained Multi-Hypothesis Motion-Compensated prediction for video coding”, IEEE – 2000.
  4. B. Girod, A. Aaron, S. Rane, and D. Rebollo-Monedero, “Distributed video coding”, Proc. IEEE, vol. 93, no. 1, pp. 71–83, Jan-2005.
  5. H. Schwarz, D. Marpe and T. Wiegand, “Overview of the scalable video coding extension of the H.264/AVC standard”, IEEE Transactions on Circuits and Systems for Video Technology, September 2007.
  6. Ian E.G. Richardson, “H.264/AVC and MPEG – 4 video Standards”, Wiley Publications.
  7. Ian E.G. Richardson, “The H.264 Advanced Video Compression Standard”, Wiley Publications.
  8. Thomas Wiegand and Gary J. Sullivan, “The H.264/AVC Video coding standard”, [Standards in a nutshell] IEEE Signal Processing Magazine , March 2007.
  9. G. J. Sullivan and R. L. Baker, “Motion compensation for video compression using control grid interpolation,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), 1991, pp. 2713–2716.
  10. G. J. Sullivan, “Multi-hypothesis motion compensation for low bit rate video coding,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, 1993, pp. 437- 440.
  11. National Institute of Standards and Technology (NIST), Information Technology Laboratory (ITL), Advanced Encryption Standard (AES), Federal Information Processing (FIPS) Publication 197, November 2001.
  12. Karel Rijkse, KPN Research, “H.263 Video Coding for Low bit Rate Communication”, IEEE Communications Magazine December 1996.
  13. G. J. Sullivan and T. Wiegand, “Rate-distortion optimization for video compression”, IEEE Signal Process. Mag., vol. 15, pp. 74–90, Nov. 1998.
  14. I.E. Richardson, C.S. Kannangara, M. Bystrom, J. Philp and Y. Zhao, “Implementing fully Configurable Video coding”, ICIP 2009, IEEE 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Modified H.264/AVC AES Encoder and Decoder Matlab low bit rate