Multiview video plus depth transmission via virtual-view-assisted complementary down/upsampling.

IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Zhi Jin, Tammam Tillo, Jimin Xiao, Yao Zhao
{"title":"Multiview video plus depth transmission via virtual-view-assisted complementary down/upsampling.","authors":"Zhi Jin,&nbsp;Tammam Tillo,&nbsp;Jimin Xiao,&nbsp;Yao Zhao","doi":"10.1186/s13640-016-0119-4","DOIUrl":null,"url":null,"abstract":"<p><p>Multiview video plus depth is a popular 3D video format which can provide viewers a vivid 3D feeling. However, its requirements in terms of computational complexity and transmission bandwidth are more than that of conventional 2D video. To mitigate these limitations, some works have proposed to reduce the amount of transmitted data by adopting different resolutions for different views, and consequently, the transmitted video is called mixed resolution video. In order to further reduce the transmitted data and maintain good quality at the decoder side; in this paper, we propose a down/upsampling algorithm for 3D multiview video which systematically takes into account the video encoder and decoder. At the encoder side, the rows of the two adjacent views are downsampled following an interlacing and complementary fashion, whereas, at the decoder side, the discarded pixels are recovered by fusing the virtual view pixels with the directional interpolated pixels from the complementary downsampled views. Moreover, the patterns of the texture surrounding the discarded pixels are used to aid the data fusion, so as to enhance edges recovery. Meanwhile, with the assistance of virtual views, at the decoder side, the proposed approach can effectively recover the discarded high-frequency details. The experimental results demonstrate the superior performance of the proposed framework.</p>","PeriodicalId":54379,"journal":{"name":"Eurasip Journal on Image and Video Processing","volume":"2016 ","pages":"19"},"PeriodicalIF":2.0000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13640-016-0119-4","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eurasip Journal on Image and Video Processing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1186/s13640-016-0119-4","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2016/4/29 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 1

Abstract

Multiview video plus depth is a popular 3D video format which can provide viewers a vivid 3D feeling. However, its requirements in terms of computational complexity and transmission bandwidth are more than that of conventional 2D video. To mitigate these limitations, some works have proposed to reduce the amount of transmitted data by adopting different resolutions for different views, and consequently, the transmitted video is called mixed resolution video. In order to further reduce the transmitted data and maintain good quality at the decoder side; in this paper, we propose a down/upsampling algorithm for 3D multiview video which systematically takes into account the video encoder and decoder. At the encoder side, the rows of the two adjacent views are downsampled following an interlacing and complementary fashion, whereas, at the decoder side, the discarded pixels are recovered by fusing the virtual view pixels with the directional interpolated pixels from the complementary downsampled views. Moreover, the patterns of the texture surrounding the discarded pixels are used to aid the data fusion, so as to enhance edges recovery. Meanwhile, with the assistance of virtual views, at the decoder side, the proposed approach can effectively recover the discarded high-frequency details. The experimental results demonstrate the superior performance of the proposed framework.

Abstract Image

Abstract Image

Abstract Image

多视角视频加上深度传输通过虚拟视图辅助互补下行/上行采样。
多视点视频加深度是一种流行的3D视频格式,可以为观众提供生动的3D感觉。但是,它在计算复杂度和传输带宽方面的要求比传统的2D视频要高。为了缓解这些限制,一些研究提出通过对不同的视点采用不同的分辨率来减少传输的数据量,因此将传输的视频称为混合分辨率视频。为了在解码器侧进一步减少传输的数据量并保持良好的质量;本文提出了一种系统地考虑视频编码器和解码器的三维多视点视频下/上采样算法。在编码器侧,两个相邻视图的行按照交错和互补的方式进行下采样,而在解码器侧,通过将虚拟视图像素与来自互补下采样视图的方向插值像素融合来恢复丢弃的像素。此外,利用被丢弃像素周围的纹理模式来辅助数据融合,从而增强边缘恢复。同时,在虚拟视图的辅助下,在解码器侧,该方法可以有效地恢复被丢弃的高频细节。实验结果表明,该框架具有良好的性能。
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
Eurasip Journal on Image and Video Processing
Eurasip Journal on Image and Video Processing ENGINEERING, ELECTRICAL & ELECTRONIC-IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
CiteScore
7.80
自引率
0.00%
发文量
23
审稿时长
>12 weeks
期刊介绍: EURASIP Journal on Image and Video Processing is intended for researchers from both academia and industry, who are active in the multidisciplinary field of image and video processing. The scope of the journal covers all theoretical and practical aspects of the domain, from basic research to development of application.
×
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