Spherical Position Dependent Rate-Distortion Optimization for 360-degree Video Coding

Yuyang Liu, Hongwei Guo, Ce Zhu, Yipeng Liu
{"title":"Spherical Position Dependent Rate-Distortion Optimization for 360-degree Video Coding","authors":"Yuyang Liu, Hongwei Guo, Ce Zhu, Yipeng Liu","doi":"10.1109/APSIPAASC47483.2019.9023222","DOIUrl":null,"url":null,"abstract":"360-degree video in spherical format cannot be well handled by the conventional video coding tools. Currently, most of the 360-degree video coding methods first project the spherical video content onto a 2-dimensional plane and then compress the projected video using a conventional video codec. However, the projection conversion process will cause an irreversible conversion error, which indicates that the reconstruction quality of the projected video cannot fully represent that of the spherical video. In view of this, this paper proposes a spherical position dependent rate-distortion optimization (RDO) approach for 360-degree video coding. During the RDO process, spherical reconstruction quality is taken into consideration and calculated according to the spherical position of the pixels in each coding unit (CU). Furthermore, the Lagrangian multiplier and quantization parameter are adjusted accordingly. The proposed method is implemented on HEVC reference software HM-16.7. Experimental results show that the proposed method can achieve better coding performance, compared with HM-16.7.","PeriodicalId":145222,"journal":{"name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSIPAASC47483.2019.9023222","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

360-degree video in spherical format cannot be well handled by the conventional video coding tools. Currently, most of the 360-degree video coding methods first project the spherical video content onto a 2-dimensional plane and then compress the projected video using a conventional video codec. However, the projection conversion process will cause an irreversible conversion error, which indicates that the reconstruction quality of the projected video cannot fully represent that of the spherical video. In view of this, this paper proposes a spherical position dependent rate-distortion optimization (RDO) approach for 360-degree video coding. During the RDO process, spherical reconstruction quality is taken into consideration and calculated according to the spherical position of the pixels in each coding unit (CU). Furthermore, the Lagrangian multiplier and quantization parameter are adjusted accordingly. The proposed method is implemented on HEVC reference software HM-16.7. Experimental results show that the proposed method can achieve better coding performance, compared with HM-16.7.
球面位置相关的360度视频编码率失真优化
传统的视频编码工具无法很好地处理球形格式的360度视频。目前,大多数360度视频编码方法首先将球形视频内容投影到二维平面上,然后使用传统的视频编解码器对投影视频进行压缩。然而,投影转换过程会产生不可逆的转换误差,这表明投影视频的重建质量不能完全代表球形视频的重建质量。鉴于此,本文提出了一种基于球面位置的360度视频编码率失真优化方法。在RDO过程中,考虑到球面重构质量,并根据每个编码单元(CU)中像素的球面位置计算球面重构质量。并对拉格朗日乘法器和量化参数进行了相应的调整。该方法在HEVC参考软件HM-16.7上实现。实验结果表明,与HM-16.7相比,该方法具有更好的编码性能。
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