The week's pick
Random Articles
Reseach Article
Adaptive Video Compression using PCA Method
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 44 - Number 21 |
| Year of Publication: 2012 |
| Authors: Mostafa Mofarreh-Bonab, Mohamad Mofarreh-Bonab |
10.5120/6393-8866
|
Mostafa Mofarreh-Bonab, Mohamad Mofarreh-Bonab . Adaptive Video Compression using PCA Method. International Journal of Computer Applications. 44, 21 ( April 2012), 6-11. DOI=10.5120/6393-8866
Abstract
In this paper, a new PCA based method for video compression is introduced. This method extracts the features of video frames and process them adaptively based on required accuracy. This idea improves the quality of compression effectively. In this paper, we focused on the fact that video is a composition of sequential and correlated frames, so we can apply the PCA to these high correlated frames. Most of other video compression methods use DCT transform to compression. DCT causes to large damage in the edges of frames which plays fundamental role in quality of video. Our method in this paper doesn't reduce the bandwidth of frequency response, so the edges of frames don't fade.
References
- Mostafa Mofarreh-Bonab and Mohamad Mofarreh-Bonab, "Face Database Compression By Hotelling Transform Using A New Method," 2nd World Conference on Information Technology, 23-27 Nov. 2011, Antalya, Turkey.
- Mohamad Mofarreh-Bonab and Mostafa Mofarreh-Bonab, "A New Technique For Image Compression Using PCA," International Journal of Computer Science and Communication Networks, IJCSCN, vol. 2, pp. 111-116, 2012.
- J. Yang, D. Zhang, A. F. Frangi and J. Y. Yang, "Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, No. 1, pp. 131-137, 2004
- Z. Gu, W. Lin, B. Lee, C. Lau, "Low-Complexity Video Coding Based on Two-Dimensional Singular Value Decomposition," IEEE Trans. Image Processing, vol. 21, No. 2, pp. 674-687, Feb 2012.
- A. M. Aznaveh, F. Torkamani Azar, A. Mansouri, "Face Database Compression by Hotelling Transform Using Segmentation, Signal Processing and Its Applications, 2007. ISSPA 2007.
- L. I. Smith, "A Tutorial on Principal Component Analysis [online], Available: csnet. otago. ac. nz/cosc453/student_tutorials/principal_components. pdf, 2002
- L. Sirovich and M. Kirby, " Low-Dimensional Procedure for Characterization of Human Faces," J. Optical Soc. Am. , vol. 4, pp. 519-524, 1987.
- M. Kirby and L. Sirovich, "Application of the KL Procedure for the Characterization of Human Faces," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 12, no. 1, pp. 103-108, Jan. 1990.
- X. Li, Y. Pang, Y. Yuan, "L1-Norm-Based 2DPCA," IEEE Trans. Systems Man and Cybernetics, vol. 40, No. 4, 2009.
- Y. Li, X. Lei, B. Bai and Y. Zhang, "Information Compression and Speckle Reduction for Multi Frequency Polarimetric SAR Images Based on Kernel PCA," Journal of Systems Engineering and Electronics, vol. 19, pp. 493-498, 2008.
- C. Yu, H. Qing and L. Zhang, "K2DPCA plus 2DPCA: An Efficient Approach for Appearance Based Object Recognition", 3rd International Conference on Bioinformatics and Biomedical Engineering, ICBBE, 2009.
Index Terms
Keywords