Derived Tree Block Partition for AVS3 Intra Coding AVS3 is the next generation video coding standard and is being developed by the audio and video standard (AVS) working group of China. As the successor of AVS2, AVS3 is designed to achieve a great coding efficiency beyond AVS2 as well as H.265HEVC. In this paper, we propose a novel block partition method for intra coding, named derived tree block partition (DTBP), based on the block partition structure in AVS3. By further splitting a leaf node of the partition tree to quad split types or asymmetric types, the signaling efficiency and the flexibility of partitioning asymmetric texture can be improved. When implemented on HPM3.1, up to 1.14% and an average 0.61% BDrates are achieved under AllIntra configuration.

Fast QTMT Partition Decision Algorithm in VVC Intra Coding based on Variance and Gradient Quadtree with nested multitype tree (QTMT) partition structure in Versatile Video Coding (VVC) contributes to superior encoding performance compared to the basic quadtree (QT) structure in High Efficiency Video Coding (HEVC). However, the improvement of performance leads to an unavoidable increase of computational complexity. To achieve a balance between coding efficiency and compression quality, we propose a fast intra partition algorithm based on variance and gradient to solve the rectangular partition problem in VVC. First, further splitting of smooth areas is terminated. Then, QT partition is chosen depending on the gradient features extracted by Sobel operator. Finally, one partition from five possible QTMT partitions is directly chosen by computing the variance of variance of subCUs. The theoretical basis of our method is that a homogeneous area tends to be predicted with a larger coding unit (CU), and subparts of a split CU are prone to have different textures from each other. To our knowledge, this is the first attempt to apply traditional method to accelerating the rectangular partition problem in VVC intra prediction. Experimental results show that the proposed method can save averagely 53.17% encoding time with only 1.62% BDBR increase and 0.09dB BDPSNR loss compared to anchor VTM4.0.