A novel distortion criterion of rate-distortion optimization for depth map coding

In 3D video coding systems, depth maps are not displayed to the viewers, but provide the geometric information to generate virtual views. To ensure the quality of virtual views, the rate-distortion optimization (RDO) in depth map coding adopts the virtual view distortion as the distortion item. The...

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Main Authors: Zheng, Ziqi, Huo, Junyan, Li, Bingbing, Yuan, Hui, Lin, Weisi
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/142116
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1421162020-06-16T03:07:29Z A novel distortion criterion of rate-distortion optimization for depth map coding Zheng, Ziqi Huo, Junyan Li, Bingbing Yuan, Hui Lin, Weisi School of Computer Science and Engineering Engineering::Computer science and engineering Three Dimensional Video (3DV) Multiview Video Plus Depth (MVD) In 3D video coding systems, depth maps are not displayed to the viewers, but provide the geometric information to generate virtual views. To ensure the quality of virtual views, the rate-distortion optimization (RDO) in depth map coding adopts the virtual view distortion as the distortion item. The virtual view distortion comes from the reconstructed color video distortion and depth distortion. It is usually recognized that the virtual view distortion caused by reconstructed color video distortion is independent of that in depth map coding. Preliminary experiments reveal that the virtual view distortion in depth map coding is also influenced by the reconstructed color video distortion. Therefore, we proposed a novel distortion criterion of depth map coding in which the reconstructed color video distortion is modeled and joins into the virtual view distortion calculation. Correspondingly, the associated Lagrange multiplier is also proposed. Experimental results demonstrate that the method by integrating the proposed distortion criterion into RDO for depth map coding can achieve an average 12.72% bitrate saving compared with SSD based RDO method and can also lead a bitrate reduction (0.64%) compared with the existing distortion estimation method in the current 3D-HEVC reference software. With the associated Lagrange multiplier, the proposed distortion criterion can achieve 12.98% bitrate saving compared with SSD based RDO method on average. 2020-06-16T03:07:29Z 2020-06-16T03:07:29Z 2018 Journal Article Zheng, Z., Huo, J., Li, B., Yuan, H., & Lin, W. (2018). A novel distortion criterion of rate-distortion optimization for depth map coding. Journal of Visual Communication and Image Representation, 54, 145-154. doi:10.1016/j.jvcir.2018.05.010 1047-3203 https://hdl.handle.net/10356/142116 10.1016/j.jvcir.2018.05.010 2-s2.0-85047058139 54 145 154 en Journal of Visual Communication and Image Representation © 2018 Elsevier Inc. All rights reserved.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Computer science and engineering
Three Dimensional Video (3DV)
Multiview Video Plus Depth (MVD)
spellingShingle Engineering::Computer science and engineering
Three Dimensional Video (3DV)
Multiview Video Plus Depth (MVD)
Zheng, Ziqi
Huo, Junyan
Li, Bingbing
Yuan, Hui
Lin, Weisi
A novel distortion criterion of rate-distortion optimization for depth map coding
description In 3D video coding systems, depth maps are not displayed to the viewers, but provide the geometric information to generate virtual views. To ensure the quality of virtual views, the rate-distortion optimization (RDO) in depth map coding adopts the virtual view distortion as the distortion item. The virtual view distortion comes from the reconstructed color video distortion and depth distortion. It is usually recognized that the virtual view distortion caused by reconstructed color video distortion is independent of that in depth map coding. Preliminary experiments reveal that the virtual view distortion in depth map coding is also influenced by the reconstructed color video distortion. Therefore, we proposed a novel distortion criterion of depth map coding in which the reconstructed color video distortion is modeled and joins into the virtual view distortion calculation. Correspondingly, the associated Lagrange multiplier is also proposed. Experimental results demonstrate that the method by integrating the proposed distortion criterion into RDO for depth map coding can achieve an average 12.72% bitrate saving compared with SSD based RDO method and can also lead a bitrate reduction (0.64%) compared with the existing distortion estimation method in the current 3D-HEVC reference software. With the associated Lagrange multiplier, the proposed distortion criterion can achieve 12.98% bitrate saving compared with SSD based RDO method on average.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Zheng, Ziqi
Huo, Junyan
Li, Bingbing
Yuan, Hui
Lin, Weisi
format Article
author Zheng, Ziqi
Huo, Junyan
Li, Bingbing
Yuan, Hui
Lin, Weisi
author_sort Zheng, Ziqi
title A novel distortion criterion of rate-distortion optimization for depth map coding
title_short A novel distortion criterion of rate-distortion optimization for depth map coding
title_full A novel distortion criterion of rate-distortion optimization for depth map coding
title_fullStr A novel distortion criterion of rate-distortion optimization for depth map coding
title_full_unstemmed A novel distortion criterion of rate-distortion optimization for depth map coding
title_sort novel distortion criterion of rate-distortion optimization for depth map coding
publishDate 2020
url https://hdl.handle.net/10356/142116
_version_ 1681056944402464768