QoE Assessment of Mobile Multiparty Audiovisual Telemeetings

The expectations of modern mobile users are increasingly moving towards being able to access demanding services regardless of context or system influence factors, such as network conditions, service topology, and device processing capabilities. Multiparty audiovisual telemeetings are an example of a...

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Main Authors: Dunja Vucic, Lea Skorin-Kapov
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9109273/
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author Dunja Vucic
Lea Skorin-Kapov
author_facet Dunja Vucic
Lea Skorin-Kapov
author_sort Dunja Vucic
collection DOAJ
description The expectations of modern mobile users are increasingly moving towards being able to access demanding services regardless of context or system influence factors, such as network conditions, service topology, and device processing capabilities. Multiparty audiovisual telemeetings are an example of a real-time, delay sensitive, and heavy load service, demanding to run on smartphones that are limited in display size, processing power, and battery capacity. In this paper, we first provide an overview of multiparty audiovisual calls established via mobile devices and key aspects influencing Quality of Experience (QoE). We then report on the results of five user studies conducted over the course of the past 4 years, focused on investigating the impact of video quality in terms of different video encoding parameter configurations (namely bitrate, frame rate, and resolution) on subjective QoE scores for WebRTC-based video calls. We identify lower and upper bounds on video configuration parameters when used in the context of three-party calls. Results have shown that in certain cases it is better to provide constant lower objective video quality than to switch between higher and lower qualities, since participants start to perceive impairments. Finally, we investigate the relationship between objectively measured video quality impairments (blurriness and blockiness) and subjective user scores. Obtained results indicate that the Birnbaum-Saunders distribution for blockiness and the Burr and Gamma distributions for blurriness provide good fits for quality ratings. Gathered results aim to provide input for deriving QoE-aware service adaptation strategies, enabling increased resource allocation efficiency while maintaining acceptable end-user QoE.
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spelling doaj.art-b876d82397a646da9e8e13903d7bd8212022-12-21T18:13:43ZengIEEEIEEE Access2169-35362020-01-01810766910768410.1109/ACCESS.2020.30004679109273QoE Assessment of Mobile Multiparty Audiovisual TelemeetingsDunja Vucic0https://orcid.org/0000-0002-5604-2205Lea Skorin-Kapov1Ericsson Nikola Tesla d.d., Zagreb, CroatiaFaculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, CroatiaThe expectations of modern mobile users are increasingly moving towards being able to access demanding services regardless of context or system influence factors, such as network conditions, service topology, and device processing capabilities. Multiparty audiovisual telemeetings are an example of a real-time, delay sensitive, and heavy load service, demanding to run on smartphones that are limited in display size, processing power, and battery capacity. In this paper, we first provide an overview of multiparty audiovisual calls established via mobile devices and key aspects influencing Quality of Experience (QoE). We then report on the results of five user studies conducted over the course of the past 4 years, focused on investigating the impact of video quality in terms of different video encoding parameter configurations (namely bitrate, frame rate, and resolution) on subjective QoE scores for WebRTC-based video calls. We identify lower and upper bounds on video configuration parameters when used in the context of three-party calls. Results have shown that in certain cases it is better to provide constant lower objective video quality than to switch between higher and lower qualities, since participants start to perceive impairments. Finally, we investigate the relationship between objectively measured video quality impairments (blurriness and blockiness) and subjective user scores. Obtained results indicate that the Birnbaum-Saunders distribution for blockiness and the Burr and Gamma distributions for blurriness provide good fits for quality ratings. Gathered results aim to provide input for deriving QoE-aware service adaptation strategies, enabling increased resource allocation efficiency while maintaining acceptable end-user QoE.https://ieeexplore.ieee.org/document/9109273/Mobile multiparty telemeetingsquality of experienceuser studiesvideo encoding parametersadaptation strategiesblockiness
spellingShingle Dunja Vucic
Lea Skorin-Kapov
QoE Assessment of Mobile Multiparty Audiovisual Telemeetings
IEEE Access
Mobile multiparty telemeetings
quality of experience
user studies
video encoding parameters
adaptation strategies
blockiness
title QoE Assessment of Mobile Multiparty Audiovisual Telemeetings
title_full QoE Assessment of Mobile Multiparty Audiovisual Telemeetings
title_fullStr QoE Assessment of Mobile Multiparty Audiovisual Telemeetings
title_full_unstemmed QoE Assessment of Mobile Multiparty Audiovisual Telemeetings
title_short QoE Assessment of Mobile Multiparty Audiovisual Telemeetings
title_sort qoe assessment of mobile multiparty audiovisual telemeetings
topic Mobile multiparty telemeetings
quality of experience
user studies
video encoding parameters
adaptation strategies
blockiness
url https://ieeexplore.ieee.org/document/9109273/
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