快速全局运动估计

2009 2nd IEEE International Conference on Broadband Network & Multimedia Technology Pub Date : 2009-12-04 DOI:10.1109/ICBNMT.2009.5348470

Liu Lei, Wang Zhiliang, L. Jiwei, Cui Zhaohui

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引用次数: 6

摘要

全局运动估计(GME)在视频编码系统MPEG-4等视频应用系统中起着重要的作用。然而，它的计算复杂度非常高。需要快速算法。在本文中，我们提出了对GME算法的改进。我们通过引入两种技术来实现这一点。首先，利用积分投影算法(IPA)进行首次平移估计，减小块匹配算法(BMA)的搜索范围;其次，粗块采样技术直接降低了计算复杂度。GME复合性能实验证明，与MPEG-4验证模型(VM)相比，我们的GME方法的PSNR仅降低了- 0.13dB，而每帧速度为5.93ms，比VM快73.3倍。全局运动补偿编码实验表明，与MPEG-4虚拟机全局运动补偿编码相比，全局运动补偿编码的精度和压缩效率没有下降。

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Fast Global Motion Estimation

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 −0.13dB in PSNR compared with the MPEG-4 verification model (VM), while it gets a 5.93ms 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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来源期刊

2009 2nd IEEE International Conference on Broadband Network & Multimedia Technology

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