本文關(guān)鍵詞： 視頻編碼 運動估計 彈性模型 高斯-牛頓法　出處：《軟件學(xué)報》2016年11期 　論文類型：期刊論文

【摘要】：運動估計是去除視頻時間維冗余的編碼技術(shù),而目前通用的平移運動模型無法有效地表示物體的局部非剛性復(fù)雜運動.為此,提出一種基于改進(jìn)高斯-牛頓法的彈性運動估計方法.首先,通過分析初始迭代點對高斯-牛頓迭代結(jié)果的影響,采用基于2bit深度像素的均勻搜索預(yù)測初始迭代點;其次,通過理論和實驗分析發(fā)現(xiàn),不同的迭代步長對彈性運動估計/補(bǔ)償性能有明顯的影響,采用離散余弦變換的低頻能量比率估計步長的上限,再利用黃金分割法對步長進(jìn)行求精.實驗結(jié)果表明,對于具有不同場景特點的視頻序列,該算法始終能夠保持較高的估計精度,運動補(bǔ)償?shù)钠骄逯敌旁氡?比基于塊平移模型的全搜索算法和傳統(tǒng)彈性運動估計算法分別提高1.73d B和1.42d B.并且,該算法具有更快的收斂速度,一般僅需1~3次迭代就能取得高于傳統(tǒng)彈性運動估計和塊平移全搜索的峰值信噪比.
[Abstract]:Motion estimation is a coding technique to remove the redundancy of video time dimension, but the current translational motion model can not effectively represent the local non-rigid complex motion of the object. A method of elastic motion estimation based on improved Gao Si Newton method is proposed. Firstly, the influence of initial iteration points on the result of Gao Si Newton iteration is analyzed. The initial iteration point is predicted by uniform search based on 2bit depth pixels. Secondly, through theoretical and experimental analysis, it is found that different iterative steps have a significant effect on the performance of elastic motion estimation / compensation, and the upper limit of the step size is estimated by using the low frequency energy ratio of discrete cosine transform. The experimental results show that the algorithm can always maintain high estimation accuracy and average peak signal to noise ratio (PSNR) of motion compensation for video sequences with different scene characteristics. Compared with the full search algorithm based on the block translation model and the traditional elastic motion estimation algorithm, the proposed algorithm is 1.73 dB and 1.42 dB, respectively. Moreover, the proposed algorithm has a faster convergence rate. Generally, it takes only one or three iterations to obtain a higher PSNR than the traditional elastic motion estimation and block translation full search.
【作者單位】： 遼寧師范大學(xué)計算機(jī)與信息技術(shù)學(xué)院;大連理工大學(xué)信息與通信工程學(xué)院;
【基金】：國家自然科學(xué)基金(61402214,41271422) 高等學(xué)校博士學(xué)科點專項科研基金(20132136110002) 遼寧省教育廳科學(xué)研究一般項目(L2013406) 大連市科學(xué)技術(shù)基金(2013J21DW027)~~
【分類號】：TN919.81
【正文快照】： Elastic Motion Estimation of Video Using Improved Gauss-Newton MethodSONG Chuan-Ming1,ZHAO Chang-Wei1,LIU Dan1,2,WANG Xiang-Hai11(School of Computer and Information Technology,Liaoning Normal University,Dalian 116029,China)2(School of Information and Com

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