A Progressive Fast CU Split Decision Scheme for AVS3

Yuyuan Chen, Songlin Sun, Jiaqi Zhang, Shanshe Wang
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Abstract

AVS3 is the newest video coding standard developed by AVS (Audio Video coding Standard) group. AVS3 adopted QTBT(Quad-tree and Binary-tree) plus EQT(Extended quad-tree) block partition scheme, which makes the split process more flexible. The CU split structure is determined by a brute-force rate-distortion optimization (RDO) search. After the whole RDO search, the CU partition with minimum RD cost is selected. The flexible block partition and thorough RDO search bring promising coding gain while extremely complicate the encoder. To reduce the computational complexity of the CU split decision process in AVS3, this paper proposed a spatial information based fast split decision algorithm. In the proposed algorithm, the predicted value of split complexity was calculated firstly according to the information of spatial neighboring blocks. Then the predicted value was used to decide whether to split current CU or not. The experimental results show that the proposed algorithm resulted in average 31.03% encoding time saving with average 0.54% BD-BR loss for Random Access (RA) configuration. The proposed algorithm can greatly reduce the computational complexity of the CU split decision process with negligible performance loss.
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AVS3的渐进式快速分块决策方案
AVS3是由AVS (Audio video coding standard)组织开发的最新视频编码标准。AVS3采用QTBT(四叉树和二叉树)+ EQT(扩展四叉树)块分区方案,使得拆分过程更加灵活。通过暴力破解率失真优化(RDO)搜索确定CU分裂结构。经过整个RDO搜索,选择RD开销最小的CU分区。灵活的分组划分和彻底的RDO搜索在使编码器极其复杂的同时带来了可观的编码增益。为了降低AVS3中CU分割决策过程的计算复杂度,提出了一种基于空间信息的快速分割决策算法。该算法首先根据空间相邻块的信息计算分割复杂度的预测值。然后用预测值来决定是否拆分当前CU。实验结果表明,该算法在随机存取(RA)配置下平均节省31.03%的编码时间,平均损失0.54%的BD-BR。该算法可以大大降低CU拆分决策过程的计算复杂度,而性能损失可以忽略不计。
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