CU Partitioning Algorithm Based on Texture Complexity in VVC

Versatile Video Coding (VVC) uses Quadtree nested multi-type tree (QTMT) for CU partitioning. Compared with the previous generation coding standard High Efficiency Video Coding (HEVC), it can save about 50% of the bit rate while ensuring the same video quality, but the coding time is greatly increased. In order to solve the problem of high time complexity of Coding Unit (CU) partitioning in VVC, this paper proposes a CU partitioning method based on image texture complexity. This method analyzes the texture of CU and calculates relevant statistics to judge the texture complexity, and then determines the CU partitioning strategy. Experimental results show that the proposed method can reduce the video coding time with little loss of video quality, and has good coding efficiency. Compared with the reference software VTM22.2, the coding time is reduced by 15.44% and the BDBR is increased by 1.94%.