Two-stage neural network for intra prediction mode decision
Yukiya Seki, Yoshiaki Shishikui, Shunsuke Iwamura · International Workshop on Advanced Image Technology (IWAIT) 2019 · 2019
In the H.265/HEVC video encoding standard, the reference software HEVC test model (HM) utilizes rate distortion (RD) optimization for intra prediction mode decision. Previously, there have been some trials to use neural networks to determine the prediction modes. However, networks with deep layers also pose a high calculation complexity. Therefore, a method has been proposed in this study to reduce the computational complexity by introducing two stage neural networks.