Two-stage neural network for intra prediction mode decision

Yukiya Seki; Yoshiaki Shishikui; Shunsuke Iwamura

doi:10.1117/12.2521497

22 March 2019 Two-stage neural network for intra prediction mode decision

Yukiya Seki, Yoshiaki Shishikui, Shunsuke Iwamura

Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 1104924 (2019) https://doi.org/10.1117/12.2521497
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

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.

Citation Download Citation

Yukiya Seki, Yoshiaki Shishikui, and Shunsuke Iwamura "Two-stage neural network for intra prediction mode decision", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104924 (22 March 2019); https://doi.org/10.1117/12.2521497

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