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Frame-layer rate control algorithm for H.264 based on improved frame MAD

机译:基于改进帧MAD的H.264帧层速率控制算法

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In this paper, we present an improved frame layer rate control algorithm for H.264/AVC video coding standard. An important step in many existing rate control algorithms is to determine the target bits for each P frame. In the standard rate control scheme of H.264, the target bit number is a weighted combination of remaining bits and bits calculated from buffer regulation. The problem is that the remaining bits are allocated to all non-coded frames equally. This will cause non-uniform image quality over a video sequence. To overcome this disadvantage, first we define frame complexity ratio (FC_(ratio)) as a measure for global frame encoding complexity and then allocate initial target bit according to its FC_(ratio). We define FC_(ratio) as a weighted combination of motion complexity and texture complexity which can predict current frame complexity more accurately using the statistics of previously encoded frame and the texture information of current frame. Experiment results show that our improved algorithm can acquire more accurate quantization parameter (QP) for each P frame through the quadratic rate-distortion (R-D) model, achieve an average PSNR gain of about 0.28 dB and meanwhile effectively alleviate the buffer's fluctuating range and frame PSNR variation.
机译:在本文中,我们提出了一种针对H.264 / AVC视频编码标准的改进的帧层速率控制算法。许多现有速率控制算法中的重要步骤是确定每个P帧的目标位。在H.264的标准速率控制方案中,目标位数是剩余位数和从缓冲区调整中计算出的位数的加权组合。问题是剩余的比特平均分配给所有未编码的帧。这将导致视频序列中的图像质量不均匀。为了克服这个缺点,首先我们定义帧复杂度比(FC_(ratio))作为全局帧编码复杂度的度量,然后根据其目标FC_(ratio)分配初始目标位。我们将FC_(ratio)定义为运动复杂度和纹理复杂度的加权组合,可以使用先前编码的帧的统计信息和当前帧的纹理信息来更准确地预测当前帧的复杂度。实验结果表明,改进后的算法可以通过二次率失真模型获得每个P帧的更准确的量化参数(QP),平均PSNR增益约为0.28 dB,同时有效地减轻了缓冲器的波动范围和帧。 PSNR变化。

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