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The Impact of Adaptation Strategies on Perceived Quality of HTTP Adaptive Streaming

Authors:

Sebastian Egger,

Michael Seufert,

Raimund SchatzAuthors Info & Claims

VideoNext '14: Proceedings of the 2014 Workshop on Design, Quality and Deployment of Adaptive Video Streaming

Pages 31 - 36

https://doi.org/10.1145/2676652.2676658

Published: 02 December 2014 Publication History

Abstract

Changing network conditions like bandwidth fluctuations and resulting bad user experience issues (e.g. video freezes) pose severe challenges to Internet video streaming. To address this problem, an increasing number of video services utilizes HTTP adaptive streaming (HAS). HAS enables service providers to improve Quality of Experience (QoE) and resource utilization by incorporating information from different layers. However, these adaptation possibilities of HAS also introduce new perceivable impairments such as the fluctuation of audiovisual quality levels over time, which in turn lead to novel QoE-related research questions. The main contribution of this paper is the formulation of open research questions as well as a thorough systematic user-centric analysis of different quality adaptation dimensions and strategies. The underlying data has been acquired through two crowdsourcing and one lab study. The results provide guidance w.r.t. which encoding dimensions are combined best for the creation of the adaptation set and what type of adaptation strategy should be used. Furthermore it provides insights on the impact of adaptation frequency and the true QoE gain of adaptation over stallings.

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Cited By

Choi WYoon J(2023)CTC: Content-Aware Tailoring of Adaptive Video Streaming using Multi-Head Critic Network2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)10.1109/ICUFN57995.2023.10199483(709-712)Online publication date: 4-Jul-2023
https://doi.org/10.1109/ICUFN57995.2023.10199483
Rahman WHuh E(2023)Content-aware QoE optimization in MEC-assisted Mobile video streamingMultimedia Tools and Applications10.1007/s11042-023-15163-w82:27(42053-42085)Online publication date: 4-Apr-2023
https://doi.org/10.1007/s11042-023-15163-w
ur Rahman WAmin MHossain MSeon Hong CHuh E(2022)QoE optimization for HTTP adaptive streamingJournal of Visual Communication and Image Representation10.1016/j.jvcir.2021.10341582:COnline publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1016/j.jvcir.2021.103415
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Information & Contributors

Information

Published In

cover image ACM Conferences

VideoNext '14: Proceedings of the 2014 Workshop on Design, Quality and Deployment of Adaptive Video Streaming

December 2014

56 pages

ISBN:9781450332811

DOI:10.1145/2676652

Program Chairs:
Mahbub Hassan
University of New South Wales, Australia
,
Ali C. Begen
Cisco Canada
,
Christian Timmerer
Alpen-Adria-Universität Klagenfurt, Austria

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 December 2014

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CoNEXT '14

Sponsor:

SIGCOMM

CoNEXT '14: Conference on emerging Networking Experiments and Technologies

December 2, 2014

Sydney, Australia

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VideoNext '14 Paper Acceptance Rate 6 of 9 submissions, 67%;

Overall Acceptance Rate 6 of 9 submissions, 67%

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Cited By

Choi WYoon J(2023)CTC: Content-Aware Tailoring of Adaptive Video Streaming using Multi-Head Critic Network2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)10.1109/ICUFN57995.2023.10199483(709-712)Online publication date: 4-Jul-2023
https://doi.org/10.1109/ICUFN57995.2023.10199483
Rahman WHuh E(2023)Content-aware QoE optimization in MEC-assisted Mobile video streamingMultimedia Tools and Applications10.1007/s11042-023-15163-w82:27(42053-42085)Online publication date: 4-Apr-2023
https://doi.org/10.1007/s11042-023-15163-w
ur Rahman WAmin MHossain MSeon Hong CHuh E(2022)QoE optimization for HTTP adaptive streamingJournal of Visual Communication and Image Representation10.1016/j.jvcir.2021.10341582:COnline publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1016/j.jvcir.2021.103415
Taraghi BNguyen MAmirpour HTimmerer C(2021)Intense: In-Depth Studies on Stall Events and Quality Switches and Their Impact on the Quality of Experience in HTTP Adaptive StreamingIEEE Access10.1109/ACCESS.2021.31076199(118087-118098)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3107619
Rahman WSeon Hong CHuh E(2020)Performance Evaluation of Edge Computing Assisted Adaptive Streaming Algorithms2020 International Conference on Information Networking (ICOIN)10.1109/ICOIN48656.2020.9016583(226-231)Online publication date: Jan-2020
https://doi.org/10.1109/ICOIN48656.2020.9016583
Ghadiyaram DPan JBovik A(2019)A Subjective and Objective Study of Stalling Events in Mobile Streaming VideosIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2017.276854229:1(183-197)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1109/TCSVT.2017.2768542
Yaqoob ABi TMuntean G(2019)A DASH-based Efficient Throughput and Buffer Occupancy-based Adaptation Algorithm for Smooth Multimedia Streaming2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)10.1109/IWCMC.2019.8766648(643-649)Online publication date: Jun-2019
https://doi.org/10.1109/IWCMC.2019.8766648
Rahman WHong CHuh E(2019)Edge Computing Assisted Joint Quality Adaptation for Mobile Video StreamingIEEE Access10.1109/ACCESS.2019.29402927(129082-129094)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2940292
Barman NMartini M(2019)QoE Modeling for HTTP Adaptive Video Streaming - A Survey and Open ChallengesIEEE Access10.1109/ACCESS.2019.2901778(1-1)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2901778
Seufert MTran-Gia P(2018)Quality of experience and access network traffic management of HTTP adaptive video streamingNOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium10.1109/NOMS.2018.8406136(1-8)Online publication date: Apr-2018
https://doi.org/10.1109/NOMS.2018.8406136
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