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A method to define motion vectors for improving the rate-distortion performance of video coding

机译:定义运动矢量以改善视频编码的速率失真性能的方法

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摘要

In ordinary Block Matching Algorithms (BMA), motion vectors are defined at the point to minimize the Mean Squared Error (MSE) or the Mean Absolute Error (MAE) of the intensity. However, in certain background images, the motion vectors whose MSE is minimum may not yield the best rate-distortion performance. Therefore, we propose a method to define the motion vectors which yield the best rate-distortion performance which is composed of three elements, the bit rate required for motion compensated predictive coding, the bit rate required for prediction error transforming coding, and the reconstruction distortion. If the codec is H.263, the proposed method can reduce the total bit rate approximately 10%-50% with the same PSNR as compared to the conventional methods.
机译:在普通的块匹配算法(BMA)中,运动矢量是在该点定义的,以最小化强度的均方误差(MSE)或平均绝对误差(MAE)。但是,在某些背景图像中,MSE最小的运动矢量可能不会产生最佳的速率失真性能。因此,我们提出了一种定义运动矢量的方法,该运动矢量产生最佳的失真率性能,它由三个元素组成:运动补偿的预测编码所需的比特率,预测误差变换编码所需的比特率以及重构失真。如果编解码器为H.263,则与传统方法相比,该方法可以在相同的PSNR的情况下将总比特率降低大约10%-50%。

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