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Expediting Determination of Coding Unit Partition Based on Quantization Parameter and Frame Complexity

机译:基于量化参数和帧复杂度的编码单元划分快速确定

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Choosing current major video coding standard, called H.264, to compress ultra-high resolution videos will cause low performance of compression in bitrate because of fixed macroblocks in H.264. For solving the large bitrate problem, a new video coding standard called High Efficiency Video Coding (HEVC) includes a quadtree-based Coding Unit (CU) block partitioning structure is established. However, HEVC causes a significant increase in computational complexity, compared to H.264 due to the necessity of searching the optimal Largest Coding Unit (LCU) partition. In this paper, we propose the fast luma-based CU partition (FLCUP) for HEVC intra prediction coding, which reduces significant computational complexity with negligible distortion in rate-distortion performance. FLCUP performs two steps: 1) analyzing the complexity of an original frame and 2) predicting LCU partition. Current the complexity of an original frame of LCU is analyzed by Discrete Wavelet Transform and several thresholds are obtained from experimental results. After analyzing the complexity of an original frame, FLCUP could predict the LCU partition for encoder without the unnecessary depth searching. Experimental results show that compared to the standard HEVC, FLCUP reduces the computational complexity by 38.63% at the cost of increasing only 1.62% in BD rate.
机译:由于H.264中的固定宏块,选择当前的主要视频编码标准(称为H.264)来压缩超高分辨率视频将导致比特率压缩性能降低。为了解决大比特率问题,建立了一种新的称为高效视频编码(HEVC)的视频编码标准,其中包括基于四叉树的编码单元(CU)块分区结构。但是,由于必须搜索最佳的最大编码单元(LCU)分区,因此与H.264相比,HEVC导致计算复杂性显着增加。在本文中,我们提出了用于HEVC帧内预测编码的基于快速亮度的CU分区(FLCUP),该算法可降低速率失真性能中可忽略的失真,从而显着降低计算复杂性。 FLCUP执行两个步骤:1)分析原始帧的复杂性,以及2)预测LCU分区。目前,通过离散小波变换分析了LCU原始帧的复杂度,并从实验结果中获得了几个阈值。在分析了原始帧的复杂度之后,FLCUP可以预测编码器的LCU分区,而无需进行不必要的深度搜索。实验结果表明,与标准HEVC相比,FLCUP的计算复杂度降低了38.63%,而BD率仅增加了1.62%。

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