We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Advanced Video Compression Technique of H.264 Codec Using SPIHT Algorithm

Published on March 2012 by S.K Singh, Mahendra Sharma, Priti Singh, Greta Dabre
International Conference on Recent Trends in Information Technology and Computer Science
Foundation of Computer Science USA
ICRTITCS - Number 1
March 2012
Authors: S.K Singh, Mahendra Sharma, Priti Singh, Greta Dabre
7dd65511-77f3-4c63-b851-8593e11e89a7

S.K Singh, Mahendra Sharma, Priti Singh, Greta Dabre . Advanced Video Compression Technique of H.264 Codec Using SPIHT Algorithm. International Conference on Recent Trends in Information Technology and Computer Science. ICRTITCS, 1 (March 2012), 23-27.

@article{
author = { S.K Singh, Mahendra Sharma, Priti Singh, Greta Dabre },
title = { Advanced Video Compression Technique of H.264 Codec Using SPIHT Algorithm },
journal = { International Conference on Recent Trends in Information Technology and Computer Science },
issue_date = { March 2012 },
volume = { ICRTITCS },
number = { 1 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 23-27 },
numpages = 5,
url = { /proceedings/icrtitcs/number1/5173-1005/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Trends in Information Technology and Computer Science
%A S.K Singh
%A Mahendra Sharma
%A Priti Singh
%A Greta Dabre
%T Advanced Video Compression Technique of H.264 Codec Using SPIHT Algorithm
%J International Conference on Recent Trends in Information Technology and Computer Science
%@ 0975-8887
%V ICRTITCS
%N 1
%P 23-27
%D 2012
%I International Journal of Computer Applications
Abstract

The ever increasing bandwidth requirements for transmission of video signals in mobile and internet environment has necessitated video compression and attempts to compare the low bit rate characteristics of the major video compression methods. This paper makes use of H.264 using DCT and wavelet based video compression. Also attempts are made to compare the results of these methods. Initially the compressed signal / data is transmitted and the receiving end the video signals are reconstructed. This paper implements SPIHT(Set Partitioning in Hierarchical Trees) algorithm for video compression. The algorithm codes the most important wavelet transform coefficients first, and transmits the bits so that an increasingly refined copy of the original video can be obtained progressively.

References
  1. Antonini M, Barland M, Mathieu P, Daubechies I. “Image coding using the wavelet transform”. IEEE transactions on Image Processing 1992;2:205-20.
  2. Grgic S, Grgic M, Zovko-Cihlar B. “Performance analysis of image compression using wavlets” .IEEE Transaction on Indusrial Elecronics 2002;48:682-95.
  3. Grgic S, Kers K, Grgic M. Image compression using wavlets. Proceedings of the IEEE international symposium on industrial electronics, ISIE’99, Bled, Slovenia,12-16 July 1999.p.99-104.
  4. Hilton ML, Jawerth BO, Sengupta A. Compressing still and moving images with wavelet Multimedia Systems 1994;2:218-27.
  5. Lewis AS, Knowles G. Image compression using the 2-D wavlet transform. IEEE Transactions on image Processing 1992;2:244-50.
  6. Taubman D, Marcellin MW. JPEG2000 image compression: fundamentals, standards and practice. Dordrecht: Kluwer Academic Publishers; 2002
Index Terms

Computer Science
Information Sciences

Keywords

H.264 DCT SPIHT Video Compression Wavelet Low Bit Rate Matlab etc