用HEVC、VVC和MV-HEVC实现立体视频的深度量化和多视点深度编码

Y. Al-Obaidi, T. Grajek, M. Domański
{"title":"用HEVC、VVC和MV-HEVC实现立体视频的深度量化和多视点深度编码","authors":"Y. Al-Obaidi, T. Grajek, M. Domański","doi":"10.1109/PCS48520.2019.8954539","DOIUrl":null,"url":null,"abstract":"Virtual reality, free-viewpoint television, virtual navigation, 360º video are the areas of research and technology that need efficient compression of multiview video plus depth acquired by cameras with arbitrary positions. Astonishingly, proliferation of 3D extensions of AVC and HEVC technology is very low. Therefore, in this paper, we present a study on independent coding of views and depth maps. A simple technique is proposed to estimate quantization step for depth as a function of the quantization step for multiview video. This technique is studied in the context of multiview video plus depth acquired using cameras located around a scene. The approach is based on simple modeling of the relation between quantization parameters for depth and multiview video. The experimental results are obtained for stereoscopic video with two respective depth maps. For standard MPEG test sequences, the results demonstrate usefulness of the approach for HEVC, VVC, MV-HEVC codecs.","PeriodicalId":237809,"journal":{"name":"2019 Picture Coding Symposium (PCS)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Quantization of Depth in Simulcast and Multiview Coding of Stereoscopic Video plus Depth Using HEVC, VVC and MV-HEVC\",\"authors\":\"Y. Al-Obaidi, T. Grajek, M. Domański\",\"doi\":\"10.1109/PCS48520.2019.8954539\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Virtual reality, free-viewpoint television, virtual navigation, 360º video are the areas of research and technology that need efficient compression of multiview video plus depth acquired by cameras with arbitrary positions. Astonishingly, proliferation of 3D extensions of AVC and HEVC technology is very low. Therefore, in this paper, we present a study on independent coding of views and depth maps. A simple technique is proposed to estimate quantization step for depth as a function of the quantization step for multiview video. This technique is studied in the context of multiview video plus depth acquired using cameras located around a scene. The approach is based on simple modeling of the relation between quantization parameters for depth and multiview video. The experimental results are obtained for stereoscopic video with two respective depth maps. For standard MPEG test sequences, the results demonstrate usefulness of the approach for HEVC, VVC, MV-HEVC codecs.\",\"PeriodicalId\":237809,\"journal\":{\"name\":\"2019 Picture Coding Symposium (PCS)\",\"volume\":\"87 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Picture Coding Symposium (PCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCS48520.2019.8954539\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Picture Coding Symposium (PCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCS48520.2019.8954539","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

虚拟现实,自由视点电视,虚拟导航,360º视频是研究和技术领域,需要有效压缩多视点视频以及任意位置摄像机获取的深度。令人惊讶的是,AVC和HEVC技术的3D扩展的扩散非常低。因此,在本文中,我们对视图和深度图的独立编码进行了研究。提出了一种简单的方法来估计深度量化步长作为多视点视频量化步长的函数。该技术在多视点视频和深度的背景下进行了研究,这些视频是使用位于场景周围的摄像机获取的。该方法基于深度量化参数与多视点视频之间关系的简单建模。对具有两种不同深度图的立体视频进行了实验。对于标准的MPEG测试序列,结果证明了该方法对HEVC、VVC、MV-HEVC编解码器的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantization of Depth in Simulcast and Multiview Coding of Stereoscopic Video plus Depth Using HEVC, VVC and MV-HEVC
Virtual reality, free-viewpoint television, virtual navigation, 360º video are the areas of research and technology that need efficient compression of multiview video plus depth acquired by cameras with arbitrary positions. Astonishingly, proliferation of 3D extensions of AVC and HEVC technology is very low. Therefore, in this paper, we present a study on independent coding of views and depth maps. A simple technique is proposed to estimate quantization step for depth as a function of the quantization step for multiview video. This technique is studied in the context of multiview video plus depth acquired using cameras located around a scene. The approach is based on simple modeling of the relation between quantization parameters for depth and multiview video. The experimental results are obtained for stereoscopic video with two respective depth maps. For standard MPEG test sequences, the results demonstrate usefulness of the approach for HEVC, VVC, MV-HEVC codecs.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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