论文标题
视频编码中的时空预测通过最佳近似
Spatio-temporal prediction in video coding by best approximation
论文作者
论文摘要
在此贡献的范围内，我们提出了一种用于视频编码的新型有效时空预测算法。该算法分为两个阶段。首先，为了利用时间相关性，在旨在预测的块上进行运动补偿。之后，为了利用空间相关性，通过形成运动补偿块的联合模型并在空间相邻的已经解码的块上，可以在空间上进行初步估计。与较早的改进算法相比，新颖的算法只需要很少的迭代，从而加快了因子17。将该新算法实施到H.264/AVC中会导致所考虑序列的数据速率最大降低近13％。
Within the scope of this contribution we propose a novel efficient spatio-temporal prediction algorithm for video coding. The algorithm operates in two stages. First, motion compensation is performed on the block to be predicted in order to exploit temporal correlations. Afterwards, in order to exploit spatial correlations, this preliminary estimate is spatially refined by forming a joint model of the motion compensated block and spatially adjacent already decoded blocks. Compared to an earlier refinement algorithm, the novel one only needs very little iteration, leading to a speedup of factor 17. The implementation of this new algorithm into the H.264/AVC leads to a maximum reduction in data rate of up to nearly 13% for the considered sequences.
