A Model Predictive Controller for Frame-Level Rate Control in Multiview Video Coding

B. Vizzotto, B. Zatt, M. Shafique, S. Bampi, J. Henkel
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引用次数: 11

Abstract

In this work, we present a novel frame-level Rate Control algorithm for Multiview Video Coding encoder that adopts the Model Predictive Control technique in order to provide low bitrate fluctuation and high video quality. Our Model Predictive Rate Control (MPRC) predicts the bitrate for a frame by employing (i) inter-view inter-GOP (Group of Pictures) phase-based bitrate prediction, and (ii) temporal (intra-GOP) target bitrate linear weighting. Moreover, the MPRC also defines an optimal control action through frame-level QP value selection. Experimental results demonstrate that our MPRC bitrate prediction incurs a Mean Bit Estimation Error (MBEE) of 1.13% compared to 2.46% provided by single view-based Rate Control and 1.61% provided by the state-of-the-art MVC Rate Control. Our solution also provides on average 0.876dB BD-PSNR increase and 28.92% BD-Bitrate reduction while providing smoother quality and bitrate variations when compared to state-of-the-art.
多视点视频编码中帧级速率控制的模型预测控制器
本文针对多视点视频编码编码器,提出一种新的帧级速率控制算法,该算法采用模型预测控制技术,以提供低比特率波动和高视频质量。我们的模型预测率控制(MPRC)通过采用(i)视点间gop(图片组)基于相位的比特率预测和(ii)时间(gop内)目标比特率线性加权来预测帧的比特率。此外,MPRC还通过帧级QP值选择定义了最优控制动作。实验结果表明,我们的MPRC比特率预测产生的平均比特估计误差(MBEE)为1.13%,而基于单视图的速率控制提供的平均比特估计误差为2.46%,最先进的MVC速率控制提供的平均比特估计误差为1.61%。我们的解决方案还提供了平均0.876dB的BD-PSNR提高和28.92%的bd -比特率降低,同时提供更平滑的质量和比特率变化相比,最先进的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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