Perceptual Fast CU Size Decision Algorithm for AVS2 Intra Coding
Hao Xie, Guoqing Xiang, Dunshan Yu, Hong Jun Yu, Yuan Li, Wei Yan · 2019
AVS2 is a kind of video coding standard proposed by China, it adopts a flexible partition structure to improve coding performance, while the recursive quad-tree split coding unit (CU) structure brings a significant increase in coding complexity. In order to reduce the computational complexity of intra coding, a number of fast CU size decision algorithms have been studied. However, traditional algorithms have focused on reducing encoding time while remaining the objective performance without perceptual consideration. In order to obtain more time savings by taken of the subjective performance, therefore, in this paper, a perceptual CU size decision algorithm based on the spatial-temporal neighboring information and its internal perceptual texture information is proposed. Experimental results show that our approach can achieve 28.06% time complexity reduction on average under all intra testing configuration on RD17.0, while the BD-Rate loss is negligible with SSIM metric.