research-article

Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video Streaming Quality

Authors:

Leonardo Peroni,

Sergey Gorinsky,

Farzad Tashtarian,

Christian TimmererAuthors Info & Claims

Proceedings of the ACM on Networking, Volume 1, Issue CoNEXT3

Article No.: 17, Pages 1 - 27

https://doi.org/10.1145/3629139

Published: 28 November 2023 Publication History

Abstract

Quality of Experience (QoE) and QoE models are of an increasing importance to networked systems. The traditional QoE modeling for video streaming applications builds a one-size-fits-all QoE model that underserves atypical viewers who perceive QoE differently. To address the problem of atypical viewers, this paper proposes iQoE (individualized QoE), a method that employs explicit, expressible, and actionable feedback from a viewer to construct a personalized QoE model for this viewer. The iterative iQoE design exercises active learning and combines a novel sampler with a modeler. The chief emphasis of our paper is on making iQoE sample-efficient and accurate. By leveraging the Microworkers crowdsourcing platform, we conduct studies with 120 subjects who provide 14,400 individual scores. According to the subjective studies, a session of about 22 minutes empowers a viewer to construct a personalized QoE model that, compared to the best of the 10 baseline models, delivers the average accuracy improvement of at least 42% for all viewers and at least 85% for the atypical viewers. The large-scale simulations based on a new technique of synthetic profiling expand the evaluation scope by exploring iQoE design choices, parameter sensitivity, and generalizability.

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Cited By

Peroni LGorinsky S(2024)Quality of Experience in Video Streaming: Status Quo, Pitfalls, and Guidelines2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)10.1109/COMSNETS59351.2024.10427330(558-567)Online publication date: 3-Jan-2024
https://doi.org/10.1109/COMSNETS59351.2024.10427330

Index Terms

Empowerment of Atypical Viewers via Low-Effort Personalized Modeling of Video Streaming Quality
1. Networks
  1. Network protocols
    1. Application layer protocols

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cover image Proceedings of the ACM on Networking

Proceedings of the ACM on Networking Volume 1, Issue CoNEXT3

PACMNET

December 2023

446 pages

EISSN:2834-5509

DOI:10.1145/3635164

Editors:
Marco Mellia
Politecnico di Torino, Italy
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Peter Steenkiste
Carnegie Mellon University, United States

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Published: 28 November 2023

Published in PACMNET Volume 1, Issue CoNEXT3

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Austrian Federal Ministry for Digital and Economic Affairs, National Foundation for Research, Technology and Development, and Christian Doppler Research Association
Spanish Ministry of Science and Innovation

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Peroni LGorinsky S(2024)Quality of Experience in Video Streaming: Status Quo, Pitfalls, and Guidelines2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)10.1109/COMSNETS59351.2024.10427330(558-567)Online publication date: 3-Jan-2024
https://doi.org/10.1109/COMSNETS59351.2024.10427330

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