research-article

Pippi Longstocking calculus for temporal stimuli pattern on YouTube QoE: 1+1=3 and 1·4≠4·1

Authors:

Tobias Hossfeld,

Dominik Strohmeier,

Alexander Raake,

Raimund SchatzAuthors Info & Claims

MoVid '13: Proceedings of the 5th Workshop on Mobile Video

Pages 37 - 42

https://doi.org/10.1145/2457413.2457422

Published: 27 February 2013 Publication History

Abstract

Video streaming over wireless broadband is currently accounting for half of the world-wide mobile data traffic, and its share is expected to increase even further. As a consequence, mobile operators need to understand how Quality of Experience (QoE) of mobile streamed video is impacted by the network delivery. With the HTTP-based video streaming used by video portals like YouTube or NetFlix, problems or insufficient resources in the networks manifest as stalling events during service consumption on the end user device. In this paper, we discuss the challenges for QoE monitoring of HTTP-based mobile video regarding three aspects. First, the QoE impact of different patterns in terms of stalling event frequency and length is quantified based on a study conducted for YouTube video. Second, we evaluate the prediction power of aggregated measures like the total stalling time. Third, we discuss the resulting consequences and remaining challenges for mobile video QoE modeling, monitoring and provisioning.

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Cited By

Raake ABorer SSatti SGustafsson JRao RMedagli SList PGoring SLindero DRobitza WHeikkila GBroom SSchmidmer CFeiten BWustenhagen UWittmann TObermann MBitto R(2020)Multi-Model Standard for Bitstream-, Pixel-Based and Hybrid Video Quality Assessment of UHD/4K: ITU-T P.1204IEEE Access10.1109/ACCESS.2020.30320808(193020-193049)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3032080
Bruneau-Queyreix JBatalla JLacaud MNegru D(2018)PMSACM Transactions on Multimedia Computing, Communications, and Applications10.1145/318351514:2s(1-25)Online publication date: 22-May-2018
https://dl.acm.org/doi/10.1145/3183515
Burger VZinner TDinh-Xuan LWamser FTran-Gia P(2018)A Generic Approach to Video Buffer Modeling Using Discrete-Time AnalysisACM Transactions on Multimedia Computing, Communications, and Applications10.1145/318351114:2s(1-23)Online publication date: 25-Apr-2018
https://dl.acm.org/doi/10.1145/3183511
Show More Cited By

Index Terms

Pippi Longstocking calculus for temporal stimuli pattern on YouTube QoE: 1+1=3 and 1·4≠4·1
1. Hardware
  1. Communication hardware, interfaces and storage
2. Networks

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Published In

cover image ACM Conferences

MoVid '13: Proceedings of the 5th Workshop on Mobile Video

February 2013

73 pages

ISBN:9781450318938

DOI:10.1145/2457413

Program Chairs:
Cheng-Hsin Hsu
National Tsing-Hua University, Taiwan
,
Shivajit Mohapatra
Motorola Research Labs

Copyright © 2013 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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SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 February 2013

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Research-article

Funding Sources

Austrian competence center program COMET, and the COST QUALINET Action IC1003
Deutsche Forschungsgemeinschaft
Österreichische Forschungsförderungsgesellschaft

Conference

MMSys '13

Sponsor:

SIGMM

MMSys '13: Multimedia Systems Conference 2013

February 27, 2013

Oslo, Norway

Acceptance Rates

MoVid '13 Paper Acceptance Rate 11 of 18 submissions, 61%;

Overall Acceptance Rate 18 of 32 submissions, 56%

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Cited By

Raake ABorer SSatti SGustafsson JRao RMedagli SList PGoring SLindero DRobitza WHeikkila GBroom SSchmidmer CFeiten BWustenhagen UWittmann TObermann MBitto R(2020)Multi-Model Standard for Bitstream-, Pixel-Based and Hybrid Video Quality Assessment of UHD/4K: ITU-T P.1204IEEE Access10.1109/ACCESS.2020.30320808(193020-193049)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3032080
Bruneau-Queyreix JBatalla JLacaud MNegru D(2018)PMSACM Transactions on Multimedia Computing, Communications, and Applications10.1145/318351514:2s(1-25)Online publication date: 22-May-2018
https://dl.acm.org/doi/10.1145/3183515
Burger VZinner TDinh-Xuan LWamser FTran-Gia P(2018)A Generic Approach to Video Buffer Modeling Using Discrete-Time AnalysisACM Transactions on Multimedia Computing, Communications, and Applications10.1145/318351114:2s(1-23)Online publication date: 25-Apr-2018
https://dl.acm.org/doi/10.1145/3183511
Le HPham Ngoc NTruong C(2018)Bitrate adaptation for seamless on-demand video streaming over mobile networksSignal Processing: Image Communication10.1016/j.image.2018.03.01465(154-164)Online publication date: Jul-2018
https://doi.org/10.1016/j.image.2018.03.014
Schmitt MBulterman DCesar P(2018)The contrast effect: QoE of mixed video-qualities at the same timeQuality and User Experience10.1007/s41233-018-0020-23:1Online publication date: 26-May-2018
https://doi.org/10.1007/s41233-018-0020-2
LE HVU TPHAM NGOC NPHAM ATHANG T(2017)Seamless Mobile Video Streaming over HTTP/2 with Gradual Quality TransitionsIEICE Transactions on Communications10.1587/transcom.2016EBP3250E100.B:5(901-909)Online publication date: 2017
https://doi.org/10.1587/transcom.2016EBP3250
Cofano GCicco LZinner TNguyen-Ngoc ATran-Gia PMascolo S(2017)Design and Performance Evaluation of Network-assisted Control Strategies for HTTP Adaptive StreamingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/309283613:3s(1-24)Online publication date: 28-Jun-2017
https://dl.acm.org/doi/10.1145/3092836
Bedogni LDi Felice MBononi L(2017)Dynamic segment size selection in HTTP based adaptive video streaming2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)10.1109/INFCOMW.2017.8116456(665-670)Online publication date: May-2017
https://doi.org/10.1109/INFCOMW.2017.8116456
Nam HKim KSchulzrinne H(2016)QoE matters more than QoS: Why people stop watching cat videosIEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications10.1109/INFOCOM.2016.7524426(1-9)Online publication date: Apr-2016
https://doi.org/10.1109/INFOCOM.2016.7524426
Yarnagula HTamarapalli V(2016)Score-based objective quality of experience assessment of DASH adaptation algorithms2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)10.1109/ANTS.2016.7947804(1-6)Online publication date: Nov-2016
https://doi.org/10.1109/ANTS.2016.7947804
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