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Optimal rate control for video coding based on a hybrid MMAX/MMSE criterion

机译:基于混合MMAX / MMSE标准的视频编码的最优速率控制

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In this paper, we consider the problem of rate control for video transmission. We focus on finding off-line optimal rate control for constant bit-rate (CBR) transmission, where the size of the encoder buffer and the channel rate are the constraints. To ensure a maximum minimum quality is obtained over all data units (e.g., macro blocks, video frames or group-of-pictures), we use a minimum maximum distortion (MMAX) criterion for this buffer-constrained problem. We show that, due to the buffer constraints, a MMAX solution leads to a relatively low average distortion, because the total rate budget is not completely utilized. Therefore, after finding a MMAX solution, an additional minimization of average distortion criterion is proposed to increase overall quality of the data sequence by using remaining resources. The proposed algorithm (denoted MMAX+ as it incorporates both MMAX and the additional average quality optimization stage) leads to an increase in average quality with respect to the MMAX solution, while providing a much more constant quality than MMSE solutions. Moreover we show how the MMAX+ approach can be implemented with low complexity.
机译:在本文中,我们考虑了视频传输速率控制问题。我们专注于找到恒定比特率(CBR)传输的离线最佳速率控制,其中编码器缓冲器的大小和信道速率是约束。为了确保通过所有数据单元获得最大最小质量(例如,宏块,视频帧或图像组),我们使用对该缓冲区受限的问题的最小最大失真(MMAX)标准。我们表明,由于缓冲约束,MMAX解决方案导致相对较低的平均失真,因为不完全使用总速率预算。因此,在找到MMAX解决方案之后,提出了平均失真标准的额外最小化,以通过使用剩余资源来提高数据序列的整体质量。所提出的算法(表示Mmax +,因为它包含MMAX和附加的平均质量优化阶段)导致相对于MMAX解决方案的平均质量增加,同时提供比MMSE解决方案更恒定的质量。此外,我们展示了MMAX +方法如何以低复杂性实现。

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