畳み込みニューラルネットワークを用いたHEVCブロック分割高速化の検討

抄録

In this paper, we propose a method for fast block partitioning in HEVC using convolutional neural network. To reduce encoding complexity, o ur method applies trained convolutional neural network model to dete rmine the shape of block partitioning from original image. W e achieved significant reductio n in encoding complexity with around 3% bitrate increase