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

机译:基于改进框架的H.264帧速率控制算法

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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:本文介绍了一种改进的H.264 / AVC视频编码标准框架层速率控制算法。许多现有速率控制算法中的一个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,目标位数是从缓冲区调节计算的剩余比特和比特的加权组合。问题是剩余比特同等地分配给所有未编码帧。这将在视频序列中导致非均匀的图像质量。为了克服这个缺点,首先我们将帧复杂度比(FC_(比率))定义为全局帧编码复杂度的度量,然后根据其FC_(比率)分配初始目标位。我们将FC_(比率)定义为运动复杂度和纹理复杂度的加权组合,其可以使用先前编码的帧的统计和当前帧的纹理信息更准确地预测当前帧复杂度。实验结果表明,我们的改进算法可以通过二次速率 - 失真(RD)模型来获取每个P帧的更精确的量化参数(QP),达到约0.28dB的平均PSNR增益,同时有效地减轻缓冲区的波动范围和框架PSNR变异。

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