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Transferring Adaptive Bit Rate Streaming Quality Models from H.264/HD to H.265/4K-UHD
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In this paper the quality of adaptive bit rate video streaming is investigated and two state-of-the-art models, i.e., the NTT audiovisual quality-estimation and ITU-T P.1203 models, are considered. This paper shows how these models can be applied to new conditions, e.g., 4K ultra high definition (4K-UHD) videos encoded using H.265, considering that they were originally designed and trained for HD videos encoded with H.264. Six subjective evaluations involving up to 192 participants and a large variety of test conditions, e.g., durations from 10sec to 3min, coding-quality variation, and stalling events, were conducted on both TV and mobile devices. Using the subjective data, this paper addresses how models and coefficients can be transferred to new conditions. A comparison between state-of-the-art models is conducted, showing the performance of transferred and retrained models. It is found that other video-quality estimation models, such as VMAF, can be used as input of the NTT and ITU-T P.1203 long-term pooling modules, allowing these other video-quality-estimation models to support the specificities of adaptive bit-rate-streaming scenarios. Finally, all retrained coefficients are detailed in this paper allowing future work to directly reuse the results of this study.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E102-B No.12 pp.2226-2242
- Publication Date
- 2019/12/01
- Publicized
- 2019/06/25
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2019EBP3045
- Type of Manuscript
- PAPER
- Category
- Network
Authors
Pierre LEBRETON
NTT Corporation
Kazuhisa YAMAGISHI
NTT Corporation
Keyword
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Pierre LEBRETON, Kazuhisa YAMAGISHI, "Transferring Adaptive Bit Rate Streaming Quality Models from H.264/HD to H.265/4K-UHD" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 12, pp. 2226-2242, December 2019, doi: 10.1587/transcom.2019EBP3045.
Abstract: In this paper the quality of adaptive bit rate video streaming is investigated and two state-of-the-art models, i.e., the NTT audiovisual quality-estimation and ITU-T P.1203 models, are considered. This paper shows how these models can be applied to new conditions, e.g., 4K ultra high definition (4K-UHD) videos encoded using H.265, considering that they were originally designed and trained for HD videos encoded with H.264. Six subjective evaluations involving up to 192 participants and a large variety of test conditions, e.g., durations from 10sec to 3min, coding-quality variation, and stalling events, were conducted on both TV and mobile devices. Using the subjective data, this paper addresses how models and coefficients can be transferred to new conditions. A comparison between state-of-the-art models is conducted, showing the performance of transferred and retrained models. It is found that other video-quality estimation models, such as VMAF, can be used as input of the NTT and ITU-T P.1203 long-term pooling modules, allowing these other video-quality-estimation models to support the specificities of adaptive bit-rate-streaming scenarios. Finally, all retrained coefficients are detailed in this paper allowing future work to directly reuse the results of this study.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2019EBP3045/_p
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@ARTICLE{e102-b_12_2226,
author={Pierre LEBRETON, Kazuhisa YAMAGISHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Transferring Adaptive Bit Rate Streaming Quality Models from H.264/HD to H.265/4K-UHD},
year={2019},
volume={E102-B},
number={12},
pages={2226-2242},
abstract={In this paper the quality of adaptive bit rate video streaming is investigated and two state-of-the-art models, i.e., the NTT audiovisual quality-estimation and ITU-T P.1203 models, are considered. This paper shows how these models can be applied to new conditions, e.g., 4K ultra high definition (4K-UHD) videos encoded using H.265, considering that they were originally designed and trained for HD videos encoded with H.264. Six subjective evaluations involving up to 192 participants and a large variety of test conditions, e.g., durations from 10sec to 3min, coding-quality variation, and stalling events, were conducted on both TV and mobile devices. Using the subjective data, this paper addresses how models and coefficients can be transferred to new conditions. A comparison between state-of-the-art models is conducted, showing the performance of transferred and retrained models. It is found that other video-quality estimation models, such as VMAF, can be used as input of the NTT and ITU-T P.1203 long-term pooling modules, allowing these other video-quality-estimation models to support the specificities of adaptive bit-rate-streaming scenarios. Finally, all retrained coefficients are detailed in this paper allowing future work to directly reuse the results of this study.},
keywords={},
doi={10.1587/transcom.2019EBP3045},
ISSN={1745-1345},
month={December},}
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TY - JOUR
TI - Transferring Adaptive Bit Rate Streaming Quality Models from H.264/HD to H.265/4K-UHD
T2 - IEICE TRANSACTIONS on Communications
SP - 2226
EP - 2242
AU - Pierre LEBRETON
AU - Kazuhisa YAMAGISHI
PY - 2019
DO - 10.1587/transcom.2019EBP3045
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2019
AB - In this paper the quality of adaptive bit rate video streaming is investigated and two state-of-the-art models, i.e., the NTT audiovisual quality-estimation and ITU-T P.1203 models, are considered. This paper shows how these models can be applied to new conditions, e.g., 4K ultra high definition (4K-UHD) videos encoded using H.265, considering that they were originally designed and trained for HD videos encoded with H.264. Six subjective evaluations involving up to 192 participants and a large variety of test conditions, e.g., durations from 10sec to 3min, coding-quality variation, and stalling events, were conducted on both TV and mobile devices. Using the subjective data, this paper addresses how models and coefficients can be transferred to new conditions. A comparison between state-of-the-art models is conducted, showing the performance of transferred and retrained models. It is found that other video-quality estimation models, such as VMAF, can be used as input of the NTT and ITU-T P.1203 long-term pooling modules, allowing these other video-quality-estimation models to support the specificities of adaptive bit-rate-streaming scenarios. Finally, all retrained coefficients are detailed in this paper allowing future work to directly reuse the results of this study.
ER -
English
