Paper Info
Title
Transferring Adaptive Bit Rate Streaming Quality Models From H.264/Hd To H.265/4k-Uhd
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 10 sec to 3 min, 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.
Year
DOI
Venue
2019
10.1587/transcom.2019EBP3045
IEICE TRANSACTIONS ON COMMUNICATIONS
Keywords
Field
DocType
quality of experience, adaptive bit rate streaming, audiovisual-quality-estimation models, subjective, monitoring, stalling
Computer science,Bit rate,Computer network,Computer hardware
Journal
Volume
Issue
ISSN
E102B
12
0916-8516
Citations 
PageRank 
References 
1
0.35
0
Authors
2
Name
Order
Citations
PageRank
Pierre R. Lebreton1346.01
Kazuhisa Yamagishi214319.48