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Backward Adaptive Pixel-based Fast Predictive Motion Estimation

delete2009-05-01
delete9
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OA
AI
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Xiaolin Chen *
N
Nishan Canagarajah
J
Jose Nunez‐Yanez
DOI:10.1109/LSP.2009.2016475delete
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摘要

摘要

En 中文
This letter presents a novel Backward Adaptive pixel-based fast Predictive Motion Estimation (BAPME) scheme for lossless video compression. Unlike the widely used block-matching motion estimation techniques, this method predicts the motion on a pixel-by-pixel basis by comparing a group of past observed pixels in two adjacent frames, eliminating the need of transmitting side information. Combined with prediction and a fast search technique, the proposed algorithm achieves better entropy results and significant reduction in computation than pixel-based full search for a set of standard test sequences. Experimental results also suggest that BAPME is superior to block-based full search in terms of speed and zero-order entropy.
Keyword:
Fast search
lossless video compression
motion estimation
pixel-based prediction
predictive search
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期刊

IEEE Signal Processing Magazine 封面图
IEEE Signal Processing Magazine
IF:
9.6
论文数:
1.1W
被引数:
1.7W

机构

U
University of Bristol
学者数:
3.1W
论文数: 3.0W
被引数: 5.3W
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