On enhancing H.264/AVC video rate control by PSNR-based frame complexity estimation

Minqiang Jiang, N. Ling
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引用次数: 62

Abstract

In this paper, we present a PSNR-based frame complexity estimation to improve H.264/AVC rate control. Our scheme is based on adding PSNR-based complexity estimation to the existing mean absolute difference based (MAD-based) complexity measure to form s combined frame complexity estimation. The aim is to allocate bits more accurately, especially for frames with scene changes and high motions. Bit allocation to each frame is not just computed by encoder buffer status but also by a combined frame complexity measure. The quadratic rate-quantization (R-Q) model is used to determine the quantization parameter (QP) for each frame and the computed QP is further adjusted in two special cases. We also propose a frame skipping decision scheme to improve the performance at high frame rates. Simulation results show that the H.264 coder, using our proposed scheme, achieves better visual performances with similar or smaller PSNR deviations when compared to that of the recent JMS.6 rate control.
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基于psnr的帧复杂度估计增强H.264/AVC视频速率控制
本文提出了一种基于psnr的帧复杂度估计方法,以改善H.264/AVC的速率控制。我们的方案是将基于psnr的复杂度估计加入到现有的基于平均绝对差(mad)的复杂度度量中,形成5个组合帧复杂度估计。目标是更准确地分配位,特别是对于有场景变化和高运动的帧。每个帧的位分配不仅由编码器缓冲状态计算,而且由组合的帧复杂度度量计算。采用二次率量化(R-Q)模型确定每帧的量化参数(QP),并在两种特殊情况下对计算得到的QP进行进一步调整。我们还提出了一种跳帧决策方案,以提高在高帧率下的性能。仿真结果表明,采用本文提出的方案的H.264编码器与现有的JMS.6码率控制相比,在相同或更小的PSNR偏差下获得了更好的视觉性能。
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