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 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
The week's pick
Responsive image
An Efficient Restoration Method for the Faint Dot Matrix Images

Ao Zhu Peng Cao
Random Articles
Reseach Article

Low complexity video coding on Block based Singular Value Decomposition (SVD) Algorithm

by M. Anto Bennet, I. Jacob Reglend, C. Nagarajan, P. Prakash
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 77 - Number 6
Year of Publication: 2013
Authors: M. Anto Bennet, I. Jacob Reglend, C. Nagarajan, P. Prakash
10.5120/13395-1037

M. Anto Bennet, I. Jacob Reglend, C. Nagarajan, P. Prakash . Low complexity video coding on Block based Singular Value Decomposition (SVD) Algorithm. International Journal of Computer Applications. 77, 6 ( September 2013), 1-8. DOI=10.5120/13395-1037

@article{ 10.5120/13395-1037,
author = { M. Anto Bennet, I. Jacob Reglend, C. Nagarajan, P. Prakash },
title = { Low complexity video coding on Block based Singular Value Decomposition (SVD) Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 77 },
number = { 6 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume77/number6/13395-1037/ },
doi = { 10.5120/13395-1037 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:49:31.421738+05:30
%A M. Anto Bennet
%A I. Jacob Reglend
%A C. Nagarajan
%A P. Prakash
%T Low complexity video coding on Block based Singular Value Decomposition (SVD) Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 77
%N 6
%P 1-8
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents analysis of video compression based on block SVD Algorithm. Compression is done to reduce the volume of data to be transmitted, to reduce the bandwidth required for transmission and to reduce the storage requirements. Video is a sequence of still images representing scenes in motion. Current video compression standards like MPEG, H. 26x series are highly computationally expensive and hence they are not suitable for real time applications. Current applications like video calling, video conferencing require low complexity video compression algorithms. In addition, the paper investigates the effect of rank in block SVD decomposition to measure the quality in terms of compression ratio and PSNR and also reduce the complexity. The advantage of using the block SVD is the property of energy compaction and its ability to adapt to the local statistical variations of an image.

References
  1. ZhouyeGu, WeisiLin,Bu-sung Lee, ChiewTong Lau( 2012) , " Low - Complexity Video Coding based On Two-Dimensional Singular Value Decomposition", IEEE Transactions on Image Processing, vol. 21, no. 2 , pp 674-687.
  2. Abomahara . M , Khalifa . O . O , Zaidan . A . A (2010) , " Video Compression Techiques an Overview " , Journal of applied sciences 10 (16) – pp. 1834 – 1840 ISSN 1812 – 5654 at asian network for scientific information.
  3. Liu . L . -M, Li . Z and Delp . E. J (2009) , " Efficient and Low - Complexity Surveillance Video compression using backward - channel aware Wyner – Ziv Video Coding," IEEE Trans. Circuits Syst. Video Technol. , vol. 19, no. 4, pp. 453– 465.
  4. Premkumar Elangova , Gaoyong Leo , Geoff Lawday ( 2007) , " Structurally Efficient Video Codec for Wireless Mobile Appilication ," ITNG '07 International Conference on Information Technology.
  5. Ching yeh chen , Shao yi chien, yi – wen huang , Tung Chien Chen (2006) , " Analysis and Architure Design of Variable Block Size Motion Estimation For H. 264/AVC ," IEEE Trans. Circuits System. , Vol. 53, no. 2.
  6. Dipiti Deodhare , NNR Ranga suri , Amit . R (2005)," Preprocessing and Image Enhancement Algorithms for a Form- based Intelligent Character Recognition System," International Journal of Computer Science and Applications, Vol . 2 , No. 2. pp. 131 -144.
  7. Yee L . Law and Truong Q. Nguyen ( 2004 ) , " Motion Wavelet Difference Reduction (MWDR) Video Codec ,"International Conference on Image Processing , pp. 2303 – 2306.
  8. Sanmati Kamath & joel R. Jackson ( 2004 ) , " Low Bit Rate Motion JPEG Using Differential Encoding ," IEEE, pp . 1723 – 1726.
  9. Enrico Magli , Massimo Mancin , Luca Merello (2003), " Low Complexity Compression for Wireless Sensor Network," IEEE Trans. Centre for Multimedia Radio Communications. , pp. 585 – 588.
  10. Yi – Jen Chiu Toby Berger (1999 ) , " A Software Only Video codec Using Pixelwise Conditional Differential Replenishment And Perceptual Enhancements ," IEEE. Trans. Circuits And Systems For Video Technology , Vol . 9, no. 3, pp. 438 – 450.
  11. Al - Asmari . Kh (1995) ," Optimum bit rate pyramid coding with low Computational and memory requirements ," IEEE Trans. Circuit and Syst . For video Tech. , Vol. 5, No. 3.
  12. Leonardo Chiariglione (1995 ) , " The Development of an Integrated Audiovisual Coding Standard MPEG ," IEEE Trans . Vol . 83 , No . 2.
  13. Hwang . W and Derin . H (1995), " Multi resolution multiresource progressive image transmission ," IEEE Trans. Image Processing , Vol. 4, No. 3. pp . 1128-1140.
  14. Pennebaker . W . B and Mitchel . J . L (1993)," JPEG still image data compression standard," Van Nostrand Reinhold, New York.
  15. Slepian . D and Wolf . J. K. (1973) ," Noiseless coding of correlated information Sources ," IEEE Transcation on Information Theory , Vol . 19, pp . 471 – 490.
Index Terms

Computer Science
Information Sciences

Keywords

Block SVD Low-Complexity video Compression.

Powered by PhDFocusTM