Edge-detection based fast intra-mode selection for depth map coding in 3d-hevc - 文章详情页

作者：

Zhang, Ruyi (Zhang, Ruyi.) | Jia, Kebin (Jia, Kebin.) (学者：贾克斌) | Liu, Pengyu (Liu, Pengyu.) | Sun, Zhonghua (Sun, Zhonghua.)

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摘要：

3D-High　Efficiency　Video　Coding　(3D-HEVC)　contains　more　encoding　viewpoints　than　traditional　HEVC,　resulting　in　a　significant　increase　of　coding　complexity.　In　this　paper,　we　propose　a　low　complexity　intra-mode　selection　algorithm　to　reduce　the　number　of　intra-modes　by　detecting　the　flat　area　and　texture　direction　of　the　depth　map.　The　corresponding　intra-prediction　modes　are　skipped　when　the　flat　region　condition　is　satisfied.　Otherwise,　the　direction　of　the　edge　is　detected　to　decrease　the　number　of　angle　modes　in　RMD,　which　can　reduce　the　intra-coding　complexity　and　coding　time　cost.　Experimental　results　demonstrate　that　the　proposed　algorithm　achieves　on　average　36.48%　time　saving　with　negligible　degradation　of　coding　performance.　©　2019　IEEE.

关键词：

Edge detection Image coding Textures Video signal processing Visual communication

作者机构：

[ 1 ] [Zhang, Ruyi]Beijing University of Technology, Faculty of Information Technology, Beijing, China
[ 2 ] [Zhang, Ruyi]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China
[ 3 ] [Jia, Kebin]Beijing University of Technology, Faculty of Information Technology, Beijing, China
[ 4 ] [Jia, Kebin]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China
[ 5 ] [Liu, Pengyu]Beijing University of Technology, Faculty of Information Technology, Beijing, China
[ 6 ] [Liu, Pengyu]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China
[ 7 ] [Sun, Zhonghua]Beijing University of Technology, Faculty of Information Technology, Beijing, China
[ 8 ] [Sun, Zhonghua]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, China

通讯作者信息：

贾克斌
[jia, kebin]beijing university of technology, faculty of information technology, beijing, china;;[jia, kebin]beijing key laboratory of computational intelligence and intelligent system, beijing university of technology, beijing, china

电子邮件地址：

kebinj@bjut.edu.cn

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