标题: 变动取样率之低功率移动估测设计
On Power-Saving Motion Estimation using Variable Subsample Ratios
作者: 叶松树
Sung-Shu Yeh
董兰荣
Lan-Rong Dung
电控工程研究所
关键字: 取样率;低功率;移动估测;影像压缩;Subsample;Motion Estimation;Power-Saving;H.264/MPEG-4 AVC
公开日期: 2004
摘要: 最新的影像压缩规格中,如MPEG-1,MPEG-2,MPEG-4 and H.264/MPEG-4 AVC,移动位移估测需要庞大的计算量与能量消耗。因此,移动位移估测主导了在影像压缩中的计算量与能量需求。针对位移估测,很多论文已经提出了不同的快速演算法,可是他们并没有考虑到影像内容的影响。所以,我们提出了一种新的快速演算法,称为“变动取样率之低功率位移估测演算法”,这个演算法可以针对不同性质的影像内容,选取最适合的取样率来完成位移估测,以达到节省能量且画质衰退在可以容许的范围之内。针对不同性质的影像内容,动态的选择四组不同的取样率,分别为16:16、16:8、16:4、16:2。我们提出的这个演算法已经成功的实现在H.264/MPEG-4 AVC的软体模型JM9.2中,实验结果显示这个演算法不只可以动态的依照不同的影像内容来选择适合的取样率,而且可以维持最多0.36 dB的画质衰退,在固定的传输频率下,平均可以节省69.9%的能量损失。这个演算法的另一个好处是可以轻易的与其他位移估测快速演算法结合,而达到进一步减少所需的计算量,我们结合JM9.2中的FME快速演算法,可以维持最多0.33 dB的画质衰退且节省73.6%的能量损失。因此,对于我们所提出的“变动取样率之低功率位移估测演算法”,是适合实现在高画质的即时影像压缩应用上。
In modern video standard, such as MPEG-1, MPEG-2, MPEG-4 and H.264/MPEG-4 AVC, motion estimation requires the heaviest computational load and hence dominates main power requirement in video compression. Lots of published papers have presented efficient algorithms for motion estimation. But they don’t consider the influence of the video content. An adaptive motion estimation algorithm with variable subsample ratios has been presented. This proposed algorithm can adaptively select the compatible subsample ratio for each current group of picture (GOP). This proposed algorithm has been successful implemented in H.264/MPEG-4 AVC with software model JM9.2. Experimental results have shown that the proposed algorithm can not only adaptively select the suitable subsample ratio to various video sequences but also maintain ΔPSNRY of 0.36 dB at most to save about 69.6% power consumption of motion estimation in a fixed bit rate control on average. The proposed algorithm can also easily combine with other fast algorithms which reduce the computational complexity of FSBM. For FME in JM 9.2, we save 73.6% power consumption and keep quality degradation under 0.33 dB. Hence the proposed algorithm is suitable for real-time implementation of high quality and power-saving video applications using a powerful CPU.
URI: http://140.113.39.130/cdrfb3/record/nctu/#GT009212520
http://hdl.handle.net/11536/68157
显示于类别:Thesis


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