一种基于线性回归模型的运动矢量重估算法

A Motion Vector Re-estimation Algorithm Based on Linear Regression Model

针对H.264/AVC空间分辨率缩减的视频转码,提出一种基于线性回归模型的运动矢量重估计算法.它利用原始视频流的运动矢量与下采样视频流的运动矢量之间的相关性,运用线性回归模型建模,得到下采样视频的运动矢量.仿真实验结果表明:在保持率失真性能的同时,计算复杂度明显降低.

For the spatial resolution reduction of H.264/AVC stream,a motion re-estimation algorithm based on linear regression model was proposed.It exploits the correlation between the motion vectors of original video stream and those of down-sampled video,which is modelled by a linear regression model to obtain the estimated motion vectors.Experiment results demonstrate that the proposed approach can significantly reduce the computational complexity of the transcoder with only slight sacrifice of visual quality.