论文标题
多个选择近似，以改善视频编码中的时空预测
Multiple Selection Approximation for Improved Spatio-Temporal Prediction in Video Coding
论文作者
论文摘要
在这一贡献中，引入了一种新型的视频编码时空预测算法。该算法利用了时间和空间冗余，以有效预测要编码的信号。为了实现这一目标，该算法分为两个阶段。最初，运动补偿预测应用于编码的块。之后，通过形成初始预测变量的联合模型和空间相邻的已经传输的块来完善此初步时间预测。这种新型算法能够在速度和预测质量方面优于早期的改进算法。与纯运动补偿预测相比，可以将平均数据速率降低15％，并且可以在PSNR中达到1.16 dB的增益。
In this contribution, a novel spatio-temporal prediction algorithm for video coding is introduced. This algorithm exploits temporal as well as spatial redundancies for effectively predicting the signal to be encoded. To achieve this, the algorithm operates in two stages. Initially, motion compensated prediction is applied on the block being encoded. Afterwards this preliminary temporal prediction is refined by forming a joint model of the initial predictor and the spatially adjacent already transmitted blocks. The novel algorithm is able to outperform earlier refinement algorithms in speed and prediction quality. Compared to pure motion compensated prediction, the mean data rate can be reduced by up to 15% and up to 1.16 dB gain in PSNR can be achieved for the considered sequences.
