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Adaptive Patch-Wise Depth Range Linear Scaling Method for MPEG Immersive Video Coding

delete2023-01-01
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OA
AI
S
Sung-Gyun Lim *
H
Hyunho Kim
Y
Yonghwan Kim
DOI:10.1109/ACCESS.2023.3336892delete
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Abstract

Abstract

En 中文
The Moving Picture Experts Group (MPEG) is responsible for standardizing MPEG immersive video (MIV) for immersive video coding and is involved in research and development focusing on providing six degrees of freedom through a reference software known as the test model for immersive video. To efficiently compress and transmit multiview videos with texture and depth pairings, the encoder part of the MIV codec framework reduces the pixel rate by removing redundancy between views and densely packing the remaining regions into an atlas as patches. The decoder part reconstructs multiview videos from the transmitted atlas to synthesize and render arbitrary viewports, and the depth information has a significant impact on the quality of the rendered viewport. However, the existing method of handling depth values in the MIV codec fails to adequately address the information loss that occurs during quantization or transmission. To preserve and transmit depth information more accurately, we propose a method for expanding the depth dynamic range using min-max linear scaling on a patch-by-patch basis. In addition, we efficiently encode the per-patch minimum and maximum values of depth required by the decoder to recover the original depth values and include them in the metadata. The experimental results indicate that for computer-generated sequences, the proposed method provides PSNR-based Bjontegaard delta-rate gains of 9.1% and 3.3% in the end-to-end performance for high- and low-bitrate cases, respectively. In addition, subjective quality improvements are observed by reducing the artifacts that primarily occur at the object boundaries in the rendered viewport.
Keywords:
Transform coding
Dynamic range
Decoding
Codecs
Encoding
Rendering (computer graphics)
Standards
Depth scaling
immersive video
MPEG immersive video
multiview video
virtual reality
6DoF video

Journal

IEEE Access cover
IEEE Access
IF:
3.6
Papers:
9.8W
Citations:
29.4W

Organization

No organization information available
Cited Papers

Cited Papers

MPEG Immersive Video Coding Standard
err2021-09-01
err61
errOAAI
errBoyce, Jill M.; Dore, Renaud; Dziembowski, Adrian; Fleureau, Julien; Jung, Joel; Kroon, Bart; Salahieh, Basel; Vadakital, Vinod Kumar Malamal; Yu, Lu
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Furion: Engineering High-Quality Immersive Virtual Reality on Today's Mobile Devices
err2020-07-01
err98
PREAI
errLai, Zeqi; Hu, Y. Charlie; Cui, Yong; Sun, Linhui; Dai, Ningwei; Lee, Hung-Sheng
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Nonlinear Depth Quantization Using Piecewise Linear Scaling for Immersive Video Coding
err2022-01-01
err9
errOAAI
errPark, Dohyeon; Lim, Sung-Gyun; Oh, Kwan-Jung; Lee, Gwangsoon; Kim, Jae-Gon
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Adaptive Patch-Wise Depth Range Linear Scaling Method for MPEG Immersive Video Coding
err2023-01-01
err0
errOAAI
errLim, Sung-Gyun; Kim, Hyun-Ho; Kim, Yong-Hwan
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