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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准则的视频编码最优速率控制

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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的速率控制问题。我们专注于找到恒定比特率(CBR)传输的离线最佳速率控制,其中编码器缓冲区的大小和通道速率是约束条件。为了确保在所有数据单元(例如宏块,视频帧或图片组)上获得最大的最小质量,我们针对此缓冲区受限问题使用了最小最大失真(MMAX)准则。我们表明,由于缓冲区限制,MMAX解决方案导致相对较低的平均失真,因为未完全利用总速率预算。因此,在找到MMAX解决方案之后,建议对平均失真准则进行额外的最小化,以通过使用剩余资源来提高数据序列的整体质量。提出的算法(表示为MMAX +,因为它同时包含MMAX和附加的平均质量优化阶段)导致相对于MMAX解决方案,平均质量有所提高,同时提供了比MMSE解决方案更稳定的质量。此外,我们展示了如何以低复杂度实现MMAX +方法。

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