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Fast mode decision algorithm for intra prediction in H.264/AVC with integer transform and adaptive threshold - Springer

机译:H.264 / AVC中具有整数变换和自适应阈值的帧内预测快速模式决策算法-Springer

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Compared with other existing video coding standards, H.264/AVC can achieve a significant improvement in compression performances. A robust criterion named the rate distortion optimization (RDO) is employed to select the optimal coding modes and motion vectors for each macroblock (MB), which achieves a high compression ratio while leading to a great increase in the complexity and computational load unfortunately. In this paper, a fast mode decision algorithm for H.264/AVC intra prediction based on integer transform and adaptive threshold is proposed. Before the intra prediction, integer transform operations on the original image are executed to find the directions of local textures. According to this direction, only a small part of the possible intra prediction modes are tested for RDO calculation at the first step. If the minimum mean absolute error (MMAE) of the reconstructed block corresponding to the best mode is smaller than an adaptive threshold which depends on the quantization parameter (QP), the RDO calculation is terminated. Otherwise, more possible modes need to be tested. The adaptive threshold aims to balance the compression performance and the computational load. Simulation results with various video sequences show that the fast mode decision algorithm proposed in this paper can accelerate the encoding speed significantly only with negligible PSNR loss or bit rate increment.
机译:与其他现有视频编码标准相比,H.264 / AVC可以显着提高压缩性能。鲁棒性的标准称为速率失真优化(RDO),用于为每个宏块(MB)选择最佳编码模式和运动矢量,这实现了高压缩比,同时不幸地导致复杂性和计算量的极大增加。提出了一种基于整数变换和自适应阈值的H.264 / AVC帧内预测快速模式决策算法。在帧内预测之前,对原始图像执行整数变换操作以找到局部纹理的方向。根据该方向,在第一步中仅测试了可能的帧内预测模式的一小部分进行RDO计算。如果与最佳模式相对应的重构块的最小平均绝对误差(MMAE)小于取决于量化参数(QP)的自适应阈值,则RDO计算终止。否则,需要测试更多可能的模式。自适应阈值旨在平衡压缩性能和计算负荷。各种视频序列的仿真结果表明,本文提出的快速模式决策算法仅在PSNR损失或比特率增加可忽略不计的情况下,才能显着提高编码速度。

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