MOTION ESTIMATION SEARCH ALGORITHM USING NEW CROSS HEXAGON-DIAMOND SEARCH PATTERN

Authors

  • RAJAVELU T

DOI:

https://doi.org/10.20894/IJMSR.117.007.001.011

Keywords:

H.264, PSNR, Video compression, Efficiency, motion estimation.

Abstract

Motion estimation is the part of the most computational complexity and the greatest impact on the performance in H.264. Motion estimation is a very important part of video compression. H.264 Video coding standard provides improved bit rate reduction and coding efficiency when compared with other existing standards such as H.261, H.262/MPEG- 2,H.263.Various algorithm have been developed for the process of motion estimation to improve better quality and reduce less number of computational time. Cross, hexagon, diamond are adaptive search techniques for motion estimation. Simulation results show that the proposed motion estimation scheme achieves reducing 19.99% motion estimation time and PSNR value is 24.67dB. Motion estimation algorithms are developed and analyzed using MATLAB environment.

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Author Biography

RAJAVELU T

ECE Department, Anna University, Karpaga Vinayaga College of Engineering and Technology, Chennai, India.

References

[1]. Chen Zu-jue, Cao Jie, “Efficient Fast Motion Estimation Optimization Based on the Improved Cross Search Template for H.264” ISBN 978-1-4244- 7618-3 /10- 2010 IEEE.

[2]. QIU Xiao-bin, HUANG Chun-qing”an improved algorithm of fast motion estimation based on H.264” the 5th international conference on computer science and education hefel, China, August 24-27,2010.

[3]. Xiaoyue LIU, Xing LI “Research o H.264 motion estimation algorithm optimization in real time video” 2010 international conference on computer and communication technologies in agriculture engineering.

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[5]. dharmendra jha, fremin kannampuzha “motion estimation algorithms for baseline profile of h.264 video codec” international journal of engineering trends and technology(IJETT) volume4 isssue4-april 2013.

[6]. Vu Thanh Nguyen, Tran Xuan chien “An improvement of Unsymmetrical- cross Multi- Hexagon-Grid search algorithm” IJCSI international journal of computer science issues vol 9,issue 4, no 2, july 2012.

[7]. Geheng Chen, Zilin Cao “algorithm Research and Improvement of UMHexagons Based on H.264/AVC video Standard.978-1- 4244-4/10 2010 IEEE.

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Published

2015-12-16

Issue

Section

Articles