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Journal of Electronic Imaging • Open Access

Adaptive search range adjustment and multiframe selection algorithm for motion estimation in H.264/AVC
Author(s): Yingzhe Liu; Jinxiang Wang; Fangfa Fu

Paper Abstract

The H.264/AVC video standard adopts a fixed search range (SR) and fixed reference frame (RF) for motion estimation. These fixed settings result in a heavy computational load in the video encoder. We propose a dynamic SR and multiframe selection algorithm to improve the computational efficiency of motion estimation. By exploiting the relationship between the predicted motion vector and the SR size, we develop an adaptive SR adjustment algorithm. We also design a RF selection scheme based on the correlation between the different block sizes of the macroblock. Experimental results show that our algorithm can significantly reduce the computational complexity of motion estimation compared with the JM15.1 reference software, with a negligible decrease in peak signal-to-noise ratio and a slight increase in bit rate. Our algorithm also outperforms existing methods in terms of its low complexity and high coding quality.

Paper Details

Date Published: 21 June 2013
PDF: 9 pages
J. Electron. Imag. 22(2) 023031 doi: 10.1117/1.JEI.22.2.023031
Published in: Journal of Electronic Imaging Volume 22, Issue 2
Show Author Affiliations
Yingzhe Liu, Harbin Institute of Technology (China)
Jinxiang Wang, Harbin Institute of Technology (China)
Fangfa Fu, Harbin Institute of Technology (China)

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