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Bitstream-Quality-Estimation Model for Tile-Based VR Video Streaming Services
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Summary :
Tile-based virtual reality (VR) video consists of high-resolution tiles that are displayed in accordance with the users' viewing directions and a low-resolution tile that is the entire VR video and displayed when users change their viewing directions. Whether users perceive quality degradation when watching tile-based VR video depends on high-resolution tile size, the quality of high- and low-resolution tiles, and network condition. The display time of low-resolution tile (hereafter delay) affects users' perceived quality because longer delay makes users watch the low-resolution tiles longer. Since these degradations of low-resolution tiles markedly affect users' perceived quality, these points have to be considered in the quality-estimation model. Therefore, we propose a bitstream-quality-estimation model for tile-based VR video streaming services and investigate the effect of bitstream parameters and delay on tile-based VR video quality. Subjective experiments on several videos of different qualities and a comparison between other video quality-estimation models were conducted. In this paper, we prove that the proposed model can improve the quality-estimation accuracy by using the high- and low-resolution tiles' quantization parameters, resolution, framerate, and delay. Subjective experimental results show that the proposed model can estimate the quality of tile-based VR video more accurately than other video quality-estimation models.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E105-B No.8 pp.1002-1013
- Publication Date
- 2022/08/01
- Publicized
- 2022/02/18
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2021EBP3163
- Type of Manuscript
- PAPER
- Category
- Multimedia Systems for Communications
Authors
Masanori KOIKE
NTT Corporation
Yuichiro URATA
NTT Corporation
Kazuhisa YAMAGISHI
NTT Corporation
Keyword
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Masanori KOIKE, Yuichiro URATA, Kazuhisa YAMAGISHI, "Bitstream-Quality-Estimation Model for Tile-Based VR Video Streaming Services" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 8, pp. 1002-1013, August 2022, doi: 10.1587/transcom.2021EBP3163.
Abstract: Tile-based virtual reality (VR) video consists of high-resolution tiles that are displayed in accordance with the users' viewing directions and a low-resolution tile that is the entire VR video and displayed when users change their viewing directions. Whether users perceive quality degradation when watching tile-based VR video depends on high-resolution tile size, the quality of high- and low-resolution tiles, and network condition. The display time of low-resolution tile (hereafter delay) affects users' perceived quality because longer delay makes users watch the low-resolution tiles longer. Since these degradations of low-resolution tiles markedly affect users' perceived quality, these points have to be considered in the quality-estimation model. Therefore, we propose a bitstream-quality-estimation model for tile-based VR video streaming services and investigate the effect of bitstream parameters and delay on tile-based VR video quality. Subjective experiments on several videos of different qualities and a comparison between other video quality-estimation models were conducted. In this paper, we prove that the proposed model can improve the quality-estimation accuracy by using the high- and low-resolution tiles' quantization parameters, resolution, framerate, and delay. Subjective experimental results show that the proposed model can estimate the quality of tile-based VR video more accurately than other video quality-estimation models.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBP3163/_p
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@ARTICLE{e105-b_8_1002,
author={Masanori KOIKE, Yuichiro URATA, Kazuhisa YAMAGISHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Bitstream-Quality-Estimation Model for Tile-Based VR Video Streaming Services},
year={2022},
volume={E105-B},
number={8},
pages={1002-1013},
abstract={Tile-based virtual reality (VR) video consists of high-resolution tiles that are displayed in accordance with the users' viewing directions and a low-resolution tile that is the entire VR video and displayed when users change their viewing directions. Whether users perceive quality degradation when watching tile-based VR video depends on high-resolution tile size, the quality of high- and low-resolution tiles, and network condition. The display time of low-resolution tile (hereafter delay) affects users' perceived quality because longer delay makes users watch the low-resolution tiles longer. Since these degradations of low-resolution tiles markedly affect users' perceived quality, these points have to be considered in the quality-estimation model. Therefore, we propose a bitstream-quality-estimation model for tile-based VR video streaming services and investigate the effect of bitstream parameters and delay on tile-based VR video quality. Subjective experiments on several videos of different qualities and a comparison between other video quality-estimation models were conducted. In this paper, we prove that the proposed model can improve the quality-estimation accuracy by using the high- and low-resolution tiles' quantization parameters, resolution, framerate, and delay. Subjective experimental results show that the proposed model can estimate the quality of tile-based VR video more accurately than other video quality-estimation models.},
keywords={},
doi={10.1587/transcom.2021EBP3163},
ISSN={1745-1345},
month={August},}
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TY - JOUR
TI - Bitstream-Quality-Estimation Model for Tile-Based VR Video Streaming Services
T2 - IEICE TRANSACTIONS on Communications
SP - 1002
EP - 1013
AU - Masanori KOIKE
AU - Yuichiro URATA
AU - Kazuhisa YAMAGISHI
PY - 2022
DO - 10.1587/transcom.2021EBP3163
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2022
AB - Tile-based virtual reality (VR) video consists of high-resolution tiles that are displayed in accordance with the users' viewing directions and a low-resolution tile that is the entire VR video and displayed when users change their viewing directions. Whether users perceive quality degradation when watching tile-based VR video depends on high-resolution tile size, the quality of high- and low-resolution tiles, and network condition. The display time of low-resolution tile (hereafter delay) affects users' perceived quality because longer delay makes users watch the low-resolution tiles longer. Since these degradations of low-resolution tiles markedly affect users' perceived quality, these points have to be considered in the quality-estimation model. Therefore, we propose a bitstream-quality-estimation model for tile-based VR video streaming services and investigate the effect of bitstream parameters and delay on tile-based VR video quality. Subjective experiments on several videos of different qualities and a comparison between other video quality-estimation models were conducted. In this paper, we prove that the proposed model can improve the quality-estimation accuracy by using the high- and low-resolution tiles' quantization parameters, resolution, framerate, and delay. Subjective experimental results show that the proposed model can estimate the quality of tile-based VR video more accurately than other video quality-estimation models.
ER -
English
