A Study on Fast Block Partitioning in HEVC using Convolutional Neural Network

Abstract

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