Block-based spatio-temporal prediction for video coding
Block-based spatio-temporal prediction for video coding
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发表时间：
2010-08
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通讯作者：
I. Matsuda;Kyohei Unno;H. Aomori;S. Itoh
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作者：
I. Matsuda;Kyohei Unno;H. Aomori;S. Itoh
提出了一种基于块的视频时空预测方法。在该方法中，在每个像素处的预测值由线性3D预测器生成，该线性3D预测器使用当前帧和运动补偿的先前帧中的因果邻域。当因果邻域在要预测的块内时，递归地使用先前预测的值而不是重构的值。因此，它可以与基于DCT的残差编码算法结合，其中在逐块的基础上获得重构值。为了最小化预测误差的平方和，使用拟牛顿法迭代优化一组3D预测器。仿真结果表明，在所提出的方法的框架下，联合使用时空预测比单独使用空间或时间预测获得更高的PSNR。
This paper proposes a block-based spatio-temporal prediction method for video coding. In this method, a predicted value at each pel is generated by a linear 3D predictor which uses the causal neighborhood in both the current and motion-compensated previous frames. When the causal neighborhood is within the block to be predicted, previously predicted values instead of the reconstructed ones are recursively used. Therefore, it can be incorporated with DCT-based residual coding algorithms where the reconstructed values are obtained on a block-by-block basis. In order to minimize the sum of squared prediction errors, a set of 3D predictors is iteratively optimized using the quasi-Newton method. Simulation results indicate that joint use of spatio-temporal prediction attains higher PSNR than exclusive use of spatial or temporal prediction in a framework of the proposed method.