Title :
Fast Global Motion Estimation
Author :
Lei, Liu ; ZhiLiang, Wang ; Jiwei, Liu ; Zhaohui, Cui
Author_Institution :
Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
Abstract :
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.
Keywords :
computational complexity; computational geometry; data compression; gradient methods; image matching; image sampling; least squares approximations; motion compensation; motion estimation; search problems; video coding; BMA search range; GMC algorithm; GME algorithm; IPA; MPEG-4 verification model; PSNR; block matching algorithm; coarsely block sampling technology; computational complexity; global motion compensation algorithm; global motion estimation algorithm; gradient descent method; integral projection algorithm; iterative least square method; translation estimation; video application system; video coding system; video compression; Computational complexity; Degradation; MPEG 4 Standard; Motion estimation; PSNR; Performance loss; Projection algorithms; Sampling methods; Video coding; Virtual manufacturing; Block Matching Algorithm; Global Motion Estimation; Gradient Descent; Integral Projection Algorithm; Iterative Least Square;
Conference_Titel :
Broadband Network & Multimedia Technology, 2009. IC-BNMT '09. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4590-5
Electronic_ISBN :
978-1-4244-4591-2
DOI :
10.1109/ICBNMT.2009.5348470