A New Accordion Based Video Compression Method

Jaya Krishna Sunkara*, **
* Assistant Professor, PDCE, Sullurpet, India.
** Researcher, Sullurpet, India.
***-**** Bachelor of Technology in ECE, PDCE, Sullurpet, India.
Periodicity:June - August'2011
DOI : https://doi.org/10.26634/jele.1.4.1506

Abstract

Usually, a video signal has high temporal redundancies due to the high correlation between successive frames. This redundancy has not been exploited enough by current video compression techniques. In this pape44grr, we present a new video compression technique which tends to hard exploit the pertinent temporal redundancy in the video to improve processing efficiency with minimum processing complexity. It includes 3D to 2D transformation of the video that allows exploring the temporal redundancy of the video using 2D transforms and avoiding the computationally demanding motion compensation step. This transformation converts the spatial and temporal correlation of the video signal into a high spatial correlation. Indeed, this technique transforms each group of pictures into one picture eventually with high spatial correlation. Thus, the De-correlation of the resulting pictures by the DCT makes efficient energy compaction, and therefore produces a high video compression ratio. Many experimental tests had been conducted to prove the technique efficiency especially in high bit rate and with slow motion video.

Keywords

Video Compression, Frame Separation, 3D to 2D transformation, Accordion.

How to Cite this Article?

Jaya Krishna Sunkara, Kuruma Purnima, E Navaneetha Sagari and L Rama Subbareddy (2011). A New Accordion Based Video Compression Method. i-manager’s Journal on Electronics Engineering, 1(4), 14-21. https://doi.org/10.26634/jele.1.4.1506

References

[1]. E. Q. L. X. Zhou and Y. Chen, (2003). “Implementation of h.264 decoder on general purpose processors with media instructions,” In SPIE Conf. on Image and Video Communications and Processing, (Santa Clara, CA), pp. 224.235, Jan.
[2]. M. B. T. Q. N. A. Molino, F. Vacca, (2004). “Low complexity video codec for mobile video conferencing,” In Eur. Signal Processing Conf. (EUSIPCO), (Vienna, Austria), pp. 665.668, Sept.
[3]. S. B. Gokturk and A. M. Aaron, (2002). “Applying 3d techniques to video for compression”, In Digital Video Processing (EE392J) Projects Winter Quarter..
[4]. T. Fryza, (2002). Compression of Video Signals by 3DDCT Transform. Diploma thesis, Institute of Radio Electronics, FEKT Brno University of Technology, Czech Republic.
[5]. G. M.P. Servais, (1997). “Video compression using the three dimensional discrete cosine transform” In Proc.COMSIG, pp. 27.32.
[6]. R. A.Burg, (2000). “A 3d-dct real-time video compression system for low complexity singlechip vlsi implementation,” in the Mobile Multimedia Conf (MoMuC).
[7].A.N.N.T.R.K.R., (1974). “Discrete cosine transforms,” In IEEE transactions on computing, pp. 90.93.
[8]. T.Fryza and S.Hanus, (2003). “ Video signals transparency in consequence of 3d-dct transform,” In Radioelektronika 2003 Conference Proceedings, (Brno,Czech Republic), pp. 127.130.
[9]. N. Boinovi and J. Konrad, (2005). “Motion analysis in 3d dct domain and its application to video coding,” Vol. 20, pp. 510-528.
[10]. E. Y. Lam and J. W. Goodman, (2000). “A mathematical analysis of the dct coefficient distributions for images,” Vol. 9, pp. 1661-1666.
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