基于混沌序列的短视频图像帧间运动补偿方法

Research on Short Video Inter Frame Motion Compensation Based on Chaotic Sequence

为了解决传统短视频图像运动补偿方法中存在的补偿精度较低、补偿耗时较长等问题,提出了基于混沌序列的短视频图像帧间运动补偿方法。根据混沌序列中短视频图像时间属性,确定了线性特征和非线性特征短视频图像的特征,并将短视频图像的特征转化为模态函数分量,完成了短视频图像混沌特征的预处理;通过短视频图像帧间映射关系,构建了混沌特征向量概率模型,并将运动补偿模型的影射函数与图像中各像素点参数值相结合,不断更新位置参数,完成了短视频图像帧间图像的有效补偿。实验结果表明:基于混沌序列的短视频图像帧间运动补偿方法可有效提升短视频图像帧间运动补偿的精度,且补偿的速度较快。

In order to solve the problems of low compensation accuracy and long compensation time in traditional short video image motion compensation methods,a short video image inter frame motion compensation method based on chaotic sequence is proposed.According to the time attribute of short video image in chaotic sequence,the linear feature and nonlinear feature of very short video image are determined.And the feature of short video image is transformed into modal function component to complete the preprocessing of Chaotic Feature of short video image.Through the mapping relationship between short video image frames,the probability model of chaotic feature vector is constructed.Thus the mapping function of motion compensation model is combined with image in order to achieve the effective compensation of short video image between frames.The parameters of each pixel are combined to update the position parameters.Experimental results show that the proposed method can effectively improve the accuracy of short video inter frame motion compensation,and the compensation speed is faster.