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The ACM Multimedia 2019 Live Video Streaming Grand Challenge

Authors:

Abdelhak Bentaleb,

Jiangchuan Liu,

Yong CuiAuthors Info & Claims

MM '19: Proceedings of the 27th ACM International Conference on Multimedia

Pages 2622 - 2626

https://doi.org/10.1145/3343031.3356083

Published: 15 October 2019 Publication History

Abstract

Live video streaming delivery over Dynamic Adaptive Video Streaming (DASH) is challenging as it requires low end-to-end latency, is more prone to stall, and the receiver has to decide online which representation at which bitrate to download and whether to adjust the playback speed to control the latency. To encourage the research community to come together to address this challenge, we organize the Live Video Streaming Grand Challenge at ACM Multimedia 2019. This grand challenge provides a simulation platform onto which the participants can implement their adaptive bitrate (ABR) logic and latency control algorithm, and then benchmark against each other using a common set of video traces and network traces. The ABR algorithms are evaluated using a common Quality-of- Experience (QoE) model that accounts for playback bitrate, latency constraint, frame-skipping penalty, and rebuffering penalty.

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Cited By

Ghosh MSinghal C(2025)A review on machine learning based user-centric multimedia streaming techniquesComputer Communications10.1016/j.comcom.2024.108011231(108011)Online publication date: Feb-2025
https://doi.org/10.1016/j.comcom.2024.108011
He DLin CYu XWestphal CMing ZCui LZhou XGarcia-Luna-Aceves JRizk AVega M(2024)VCApather: A Network as a Service Solution for Video Conference ApplicationsProceedings of the 34th edition of the Workshop on Network and Operating System Support for Digital Audio and Video10.1145/3651863.3651884(57-63)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3651863.3651884
Lee ABae HKim C(2024)COCKTAIL: Video streaming QoE optimization with chunk replacement and guided learningComputer Communications10.1016/j.comcom.2024.01.014219(204-215)Online publication date: Apr-2024
https://doi.org/10.1016/j.comcom.2024.01.014
Show More Cited By

Index Terms

The ACM Multimedia 2019 Live Video Streaming Grand Challenge
1. Information systems
  1. Information systems applications
    1. Multimedia information systems
      1. Multimedia streaming

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Information & Contributors

Information

Published In

cover image ACM Conferences

MM '19: Proceedings of the 27th ACM International Conference on Multimedia

October 2019

2794 pages

ISBN:9781450368896

DOI:10.1145/3343031

General Chairs:
Laurent Amsaleg
CNRS-IRISA, France
,
Benoit Huet
EURECOM, France
,
Martha Larson
Radboud University and TU Delft (Netherlands)
,
Program Chairs:
Guillaume Gravier
CNRS-IRISA, France
,
Hayley Hung
Delft University of Technology Netherlands
,
Chong-Wah Ngo
City University of Hong Kong Hong Kong
,
Wei Tsang Ooi
National University of Singapore Singapore

Copyright © 2019 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]

Sponsors

SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 October 2019

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Research-article

Funding Sources

National Research Foundation, Prime Minister?s Office, Singapore
National Nature Science Foundation of China
National Key R&D Program of China
Singapore Ministry of Education Academic Research Fund Tier 2

Conference

MM '19

Sponsor:

SIGMM

MM '19: The 27th ACM International Conference on Multimedia

October 21 - 25, 2019

Nice, France

Acceptance Rates

MM '19 Paper Acceptance Rate 252 of 936 submissions, 27%;

Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Citations

Cited By

Ghosh MSinghal C(2025)A review on machine learning based user-centric multimedia streaming techniquesComputer Communications10.1016/j.comcom.2024.108011231(108011)Online publication date: Feb-2025
https://doi.org/10.1016/j.comcom.2024.108011
He DLin CYu XWestphal CMing ZCui LZhou XGarcia-Luna-Aceves JRizk AVega M(2024)VCApather: A Network as a Service Solution for Video Conference ApplicationsProceedings of the 34th edition of the Workshop on Network and Operating System Support for Digital Audio and Video10.1145/3651863.3651884(57-63)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3651863.3651884
Lee ABae HKim C(2024)COCKTAIL: Video streaming QoE optimization with chunk replacement and guided learningComputer Communications10.1016/j.comcom.2024.01.014219(204-215)Online publication date: Apr-2024
https://doi.org/10.1016/j.comcom.2024.01.014
Zhu WSu WYang KChen H(2024)Improving the application performance of Loki via algorithm optimizationMultimedia Systems10.1007/s00530-023-01197-530:1Online publication date: 10-Jan-2024
https://dl.acm.org/doi/10.1007/s00530-023-01197-5
Meng ZXu MMeng ZXu M(2024)Application Layer on Data Path: Adaptive Frame RateLatency Optimization in Interactive Multimedia Streaming10.1007/978-981-97-6729-8_5(61-85)Online publication date: 30-Oct-2024
https://doi.org/10.1007/978-981-97-6729-8_5
Shende CPark CSen SWang BZimmermann RShirmohammadi SGriwodz CHefeeda MWang M(2023)Cross-layer Network Bandwidth Estimation for Low-latency Live ABR StreamingProceedings of the 14th Conference on ACM Multimedia Systems10.1145/3587819.3590990(183-193)Online publication date: 7-Jun-2023
https://dl.acm.org/doi/10.1145/3587819.3590990
O'Hanlon PAslam AZimmermann RShirmohammadi SGriwodz CHefeeda MWang M(2023)Latency Target based Analysis of the DASH.js PlayerProceedings of the 14th Conference on ACM Multimedia Systems10.1145/3587819.3590971(153-160)Online publication date: 7-Jun-2023
https://dl.acm.org/doi/10.1145/3587819.3590971
Naresh MSaxena PGupta M(2023)Deep Reinforcement Learning with Importance Weighted A3C for QoE enhancement in Video Delivery Services2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)10.1109/WoWMoM57956.2023.00024(97-106)Online publication date: Jun-2023
https://doi.org/10.1109/WoWMoM57956.2023.00024
Zhang GZhang JLiu YHu HLee JAggarwal V(2023)Adaptive Video Streaming With Automatic Quality-of-Experience OptimizationIEEE Transactions on Mobile Computing10.1109/TMC.2022.316135122:8(4456-4470)Online publication date: 1-Aug-2023
https://doi.org/10.1109/TMC.2022.3161351
Zhang GLiu KHu HAggarwal VLee J(2023)Post-Streaming Wastage Analysis – A Data Wastage Aware Framework in Mobile Video StreamingIEEE Transactions on Mobile Computing10.1109/TMC.2021.306976422:1(389-401)Online publication date: 1-Jan-2023
https://doi.org/10.1109/TMC.2021.3069764
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