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Low Complexity Multiple Candidate Motion Estimation Based on Constrained One-bit Transforms

Authors:
Changryoul Choi
Jechang Jeong

Keywords: motion estimation; bit-wise matching; constrained one-bit transform

Abstract:
In this paper, we propose a low complexity multiple candidate motion estimation algorithm based on the constrained one-bit transform. We propose variations of constrained one-bit transform whose matching criteria are almost the same as the constrained one-bit transform. The motion estimation performances of the proposed variations are statistically similar to that of constrained one-bit transform in whole, but its local behaviors are very different. By adopting the multiple candidate search strategy into the typical constrained one-bit transform and its variation thereafter, we can efficiently determine two best motion vectors and enhance the overall motion estimation accuracy. Experimental results show that the proposed algorithm achieves peak-to-peak signal-to-noise ratio gains up to 0.66dB on average compared with the conventional constrained one-bit transform-based motion estimation with negligible complexity increase.

Pages: 10 to 13

Copyright: Copyright (c) IARIA, 2012

Publication date: April 29, 2012

Published in: conference

ISSN: 2308-4448

ISBN: 978-1-61208-195-3

Location: Chamonix, France

Dates: from April 29, 2012 to May 4, 2012