Fast Global Motion Estimation

Beijing(2009)

引用 11|浏览16
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摘要
Global motion estimation (GME) plays an important role in many video application systems such as video coding system MPEG-4. However, its computational complexity is very high. Fast algorithms are needed. In this paper, we propose an improvement to the GME algorithm. We achieve this by introduce two techniques. Firstly, integral projection algorithm (IPA) is used to get first translation estimation and reduce block matching algorithm (BMA) search range. Secondly, coarsely block sampling technology directly reduces the computation complexity. GME composite performance experiments prove that our GME method only degrades -0.13 dB in PSNR compared with the MPEG-4 verification model (VM), while it gets a 5.93 ms per frame speed and is 73.3 times faster than the VM. Global motion compensation (GMC) coding experiments also show no loss of GME accuracy and compression efficiency compared to the MPEG-4 VM GME method.
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关键词
bma search range,global motion compensation algorithm,motion compensation,gmc algorithm,psnr,iterative least square method,image matching,gradient descent,global motion estimation,gradient descent method,video compression,iterative least square,computational geometry,data compression,integral projection algorithm,translation estimation,search problems,motion estimation,gme algorithm,computational complexity,least squares approximations,image sampling,video application system,video coding,gradient methods,mpeg-4 verification model,video coding system,block matching algorithm,ipa,global motion estimation algorithm,coarsely block sampling technology,least square
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