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Low Complexity Multiple Candidate Motion Estimation Using Gray Coded Bit-plane Matching

Authors:
Changryoul Choi
Jechang Jeong

Keywords: motion estimation; bit-plane matching; video coding

Abstract:
In this paper, we propose low complexity motion estimation algorithms based on the Gray-coded bit-plane matching. By exploiting almost identical operations among similar but different matching error criteria, we can efficiently determine the respective candidate motion vectors. And adopting multiple candidate motion estimation strategies into those candidate motion vectors and local searches around the best candidate motion vector dramatically enhance the motion estimation accuracy. Experiments were carried out for comparing the performances of the proposed algorithms with other bit-plane matching based motion estimation algorithms and full search block matching algorithm with the sum of absolute differences as well. Surprisingly, the peak signal to noise ratio difference between one of the proposed algorithms and the full search block matching algorithm is within 0.05dB on average.

Pages: 38 to 43

Copyright: Copyright (c) IARIA, 2016

Publication date: February 21, 2016

Published in: conference

ISSN: 2308-4448

ISBN: 978-1-61208-452-7

Location: Lisbon, Portugal

Dates: from February 21, 2016 to February 25, 2016