Proceedings ArticleDOI
Evaluating Quality of Experience for Streaming Video in Real Time
Mukundan Venkataraman,Mainak Chatterjee,Siddhartha Chattopadhyay +2 more
- pp 4279-4284
TLDR
A scalable, lightweight, no-reference framework to infer video QoE, which shows that the MOS predictions are in close agreement with subjective perceptions and an implementation of the framework on standard Linux PC shows it can compute 20 MOS calculations per second with 3 parameters and 18 partitions of the QeE space.Abstract:
We present a scalable, lightweight, no-reference framework to infer video QoE. Our framework revolves around a one time offline construction of a k-dimensional space, which we call the QoE space. The k-dimensions accommodate k parameters (network-dependent/independent) that potentially affect video quality. The k-dimensional space is partitioned to N representative zones, each with a QoE index. Instantaneous parameter values are matched with the indices to infer QoE. To validate our framework, we construct a 3-dimensional QoE space with bit-rate, loss, and delay as the principal components. We create 18 video samples with unique combinations of the 3 parameters. 77 human subjects rated these video samples on a scale of 1 to 5 to create the QoE space. In a second set of survey, our predicted MOS was compared to 49 human responses. Results show that our MOS predictions are in close agreement with subjective perceptions. An implementation of our framework on standard Linux PC shows we can compute 20 MOS calculations per second with 3 parameters and 18 partitions of the QoE space.read more
Citations
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Journal ArticleDOI
Mean opinion score (MOS) revisited: methods and applications, limitations and alternatives
TL;DR: This paper critically examine MOS and the various ways it is being used today and discusses a variety of alternative approaches that have been proposed for media quality measurement.
Journal ArticleDOI
QoE-Driven Cache Management for HTTP Adaptive Bit Rate Streaming Over Wireless Networks
TL;DR: This paper investigates the problem of how to cache a set of media files with optimal streaming rates, under HTTP adaptive bit rate streaming over wireless networks, and finds there is a fundamental phase change in the optimal solution as the number of cached files grows.
Proceedings ArticleDOI
QoE-driven cache management for HTTP adaptive bit rate (ABR) streaming over wireless networks
TL;DR: Numerical results suggest that, under optimal cache schemes, the maximum QoE measurement, i.e., mean-opinion-score (MOS), is a concave function of the allowable storage size, which can provide high expectedQoE with low complexity, shedding light on the design of HTTP ABR streaming services over wireless networks.
Journal ArticleDOI
Inferring video QoE in real time
TL;DR: MOS is presented: a lightweight, no-reference, loadable kernel module to infer the QoE of a video stream in transit and offer suggestions to improve it.
Proceedings ArticleDOI
Machine learning based QoE prediction in SDN networks
TL;DR: A novel method based on machine learning algorithms to obtain the quality of experience in an objective manner based on full reference parametric (SSIM, VQM) and application metrics (resolution, bit rate, frame rate) in SDN networks is proposed.
References
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Proceedings ArticleDOI
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Journal ArticleDOI
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