Low Complexity Hybrid View Synthesis Optimization for 3D-HEVC

Songchao Tan, Siwei Ma, Shiqi Wang, Shanshe Wang, Wen Gao
{"title":"Low Complexity Hybrid View Synthesis Optimization for 3D-HEVC","authors":"Songchao Tan, Siwei Ma, Shiqi Wang, Shanshe Wang, Wen Gao","doi":"10.1109/ICVRV.2017.00045","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a low complexity Hybrid View Synthesis Optimization (HVSO) scheme for 3D extension of high efficiency video coding (3D-HEVC). In particular, based on the analyses regarding the impact of depth map compression on the quality of synthesized view rendering, we locally classify the coding tree units (CTUs) of depth map into two categories, including synthesized view distortion change (SVDC) based and view synthesis distortion estimation (VSDE) based CTUs. This allows us to dynamically distinguish the rate-distortion optimization process of these CTUs and obtain the synthesized view distortion of the VSDE based ones in a high efficiency way. More specifically, a new interpolation-based distortion estimation algorithm dedicated for VSDE based CTUs is proposed such that the actual view rendering process can be successfully avoided. In this manner, a good trade-off between the rate-distortion performance and computational complexity in depth map compression is achieved. Experimental results show that with our proposed HVSO method, 75% of the computational complexity on average can be saved for the view synthesis optimization process with only 1.6% BD-rate loss compared with the state-of-the-art scheme in the 3D-HEVC platform.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVRV.2017.00045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, we propose a low complexity Hybrid View Synthesis Optimization (HVSO) scheme for 3D extension of high efficiency video coding (3D-HEVC). In particular, based on the analyses regarding the impact of depth map compression on the quality of synthesized view rendering, we locally classify the coding tree units (CTUs) of depth map into two categories, including synthesized view distortion change (SVDC) based and view synthesis distortion estimation (VSDE) based CTUs. This allows us to dynamically distinguish the rate-distortion optimization process of these CTUs and obtain the synthesized view distortion of the VSDE based ones in a high efficiency way. More specifically, a new interpolation-based distortion estimation algorithm dedicated for VSDE based CTUs is proposed such that the actual view rendering process can be successfully avoided. In this manner, a good trade-off between the rate-distortion performance and computational complexity in depth map compression is achieved. Experimental results show that with our proposed HVSO method, 75% of the computational complexity on average can be saved for the view synthesis optimization process with only 1.6% BD-rate loss compared with the state-of-the-art scheme in the 3D-HEVC platform.
3D-HEVC低复杂度混合视图合成优化
本文提出了一种低复杂度的混合视图合成优化(HVSO)方案,用于高效视频编码(3D- hevc)的三维扩展。在分析深度图压缩对合成视图渲染质量影响的基础上,将深度图的编码树单元局部划分为基于合成视图失真变化(SVDC)的编码树单元和基于视图合成失真估计(VSDE)的编码树单元。这使得我们可以动态区分这些ccu的率畸变优化过程,并以高效率的方式获得基于VSDE的ccu的综合视图畸变。更具体地说,提出了一种新的基于插值的失真估计算法,专门用于基于VSDE的ctu,从而成功地避免了实际的视图渲染过程。这种方法在深度图压缩的率失真性能和计算复杂度之间取得了很好的平衡。实验结果表明,与3D-HEVC平台上的现有方案相比,本文提出的HVSO方法在视图综合优化过程中平均节省了75%的计算复杂度,仅损失1.6%的BD-rate。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信