Recently, an emerging video coding standard called Versatile Video Coding (VVC) is established using quadtree with nested multi-type tree structure to improve the coding efficiency. However, the coding complexity increases dramatically due to the flexible block partition structure. To tackle this issue, a fast CU size decision algorithm is proposed to speed up the intra coding process utilizing the coding information and the texture information, which consists of a fast quadtree decision method (FQD) and a fast multi-type tree decision method (FMD). Firstly, the correlation of the depths of the neighboring CUs is analyzed, which can predict the quadtree depth of the current CU early to skip unnecessary depths. Then, the distribution of the Rate-Distortion (RD) cost of the multi-type tree combined with the texture information is utilized to make an early decision on the splits of the binary-tree (BT) and ternary-tree (TT). Experimental results demonstrate that the proposed algorithm can reduce the coding complexity by 51.89% on average, with negligible loss of coding performance. Compared with state-of-the-art methods, the proposed algorithm can obtain an additional time saving from 6% to 17%, while keeps a better coding performance.

最近，一种新兴的视频编码标准称为通用视频编码（VVC），它使用具有嵌套多类型树结构的四叉树来提高编码效率。然而，由于灵活的块分区结构，编码复杂度急剧增加。为了解决这个问题，提出了一种快速 CU 大小决策算法，以利用编码信息和纹理信息加速帧内编码过程，该算法由快速四叉树决策方法（FQD）和快速多类型树决策方法组成（口蹄疫）。首先分析相邻CU深度的相关性，可以提前预测当前CU的四叉树深度，跳过不必要的深度。然后，利用多类型树的 Rate-Distortion (RD) cost 的分布结合纹理信息对二叉树 (BT) 和三叉树 (TT) 的分裂做出早期决策。实验结果表明，该算法平均可降低编码复杂度51.89%，编码性能损失可忽略不计。与最先进的方法相比，所提出的算法可以额外节省 6% 到 17% 的时间，同时保持更好的编码性能。