论文标题
通过空间精制运动补偿的视频编码中的时空预测
Spatio-temporal prediction in video coding by spatially refined motion compensation
论文作者
论文摘要
此贡献的目的是引入视频编码中的新信号预测方法。与大多数使用时间或使用空间相关性生成预测信号的预测方法不同，该方法同时使用空间和时间相关性。时空预测是通过首先执行宏观块的运动补偿来获得的，然后进行了改进步骤，该步骤注意大小写及其周围环境之间的相关性。在解码器上，可以以相同的方式执行改进步骤，因此无需传输其他侧面信息。与纯运动补偿预测相比，将空间完善步骤的实施到H.264/AVC视频编解码器导致数据速率降低到近15％，PSNR的增加高达0.75 dB。
The purpose of this contribution is to introduce a new method of signal prediction in video coding. Unlike most existent prediction methods that either use temporal or use spatial correlations to generate the prediction signal, the proposed method uses spatial and temporal correlations at the same time. The spatio-temporal prediction is obtained by first performing motion compensation for a macroblock, followed by a refinement step that pays attention to the correlations between the macroblock and its surroundings. At the decoder, the refinement step can be performed in the same manner, thus no additional side information has to be transmitted. Implementation of the spatial refinement step into the H.264/AVC video codec leads to reduction in data rate of up to nearly 15% and increase in PSNR of up to 0.75 dB, compared to pure motion compensated prediction.
