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Fast CU Partition Decision Based on Texture for H.266/VVC

机译:基于H.266 / VVC纹理的快速Cu分区决策

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摘要

With the development of multimedia equipment and the increasing demand for high-quality video applications, the traditional video coding standard, H.265/High Efficiency Video Coding (HEVC), can no longer effectively satisfy the requirements. To promote the development of high-quality video, a new generation video coding standard, H.266/Versatile Video Coding (H.266/VVC), is established, and it is the inheritance and development of H.265/HEVC. It not only retains many mature technologies and methods in HEVC but also adds some new coding tools, such as wide-angle prediction and Multitype Tree (MTT) partition structure. The MTT partition structure brings a more flexible partition method of Coding Unit (CU), but the accompanying increase in computational complexity is unacceptable. In order to ensure an effective balance between coding efficiency and coding quality, a fast CU partition algorithm based on texture is proposed in this paper. First, the texture complexity of the neighboring CU is used as a threshold for evaluating the complexity of the current CU, so as to skip the unpromising depth. Then, the gradient features are extracted to determine whether the Quad-Tree (QT) partition is executed. Finally, the improved Canny operator is used to extract edge features, and the partition mode in the horizontal or vertical direction is excluded. The algorithm was embedded in VTM7.0, and the video sequences with different resolutions were tested under general experimental configuration. Simulation experiment results show that the average time saving of this method reached 50.56% compared with the anchor algorithm. At the same time, the average BDBR is increased by 1.31%.
机译:随着多媒体设备的发展和对高质量视频应用的不断增加,传统的视频编码标准,H.265 /高效视频编码(HEVC),不能再有效地满足要求。为促进高质量视频的发展,建立了新一代视频编码标准,H.266 /多功能视频编码(H.266 / VVC),是H.265 / HEVC的继承和开发。它不仅保留了HEVC中的许多成熟技术和方法,还可以添加一些新的编码工具,例如广角预测和多重图像(MTT)分区结构。 MTT分区结构带来了更灵活的编码单元(CU)的分区方法,但是伴随的计算复杂性的增加是不可接受的。为了确保编码效率和编码质量之间的有效平衡,本文提出了一种基于纹理的快速Cu分区算法。首先,将相邻Cu的纹理复杂性用作评估当前Cu的复杂性的阈值,以跳过不妥协的深度。然后,提取梯度特征以确定是否执行了Quad-Tree(Qt)分区。最后,改进的Canny运算符用于提取边缘特征,并且排除了水平或垂直方向上的分区模式。该算法嵌入在VTM7.0中,并在一般实验配置下测试具有不同分辨率的视频序列。仿真实验结果表明,与锚算法相比,该方法的平均时间达到50.56%。与此同时,平均BDBR增加1.31%。

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