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Two-stage neural network for intra prediction mode decision
Author(s): Yukiya Seki; Yoshiaki Shishikui; Shunsuke Iwamura
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Paper 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.

Paper Details

Date Published: 22 March 2019
PDF: 6 pages
Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104924 (22 March 2019); doi: 10.1117/12.2521497
Show Author Affiliations
Yukiya Seki, Meiji Univ. (Japan)
Yoshiaki Shishikui, Meiji Univ. (Japan)
Shunsuke Iwamura, NHK Science and Technology Research Labs. (Japan)


Published in SPIE Proceedings Vol. 11049:
International Workshop on Advanced Image Technology (IWAIT) 2019
Qian Kemao; Kazuya Hayase; Phooi Yee Lau; Wen-Nung Lie; Yung-Lyul Lee; Sanun Srisuk; Lu Yu, Editor(s)

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