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inis 23(2): e3

Research Article

Flexible HTTP-based Video Adaptive Streaming for good QoE during sudden bandwidth drops

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  • @ARTICLE{10.4108/eetinis.v10i2.2994,
        author={Nguyen Viet Hung and Trinh Dac Chien and Nam Pham Ngoc and Thu Huong Truong},
        title={Flexible HTTP-based Video Adaptive Streaming for good QoE during sudden bandwidth drops},
        journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems},
        volume={10},
        number={2},
        publisher={EAI},
        journal_a={INIS},
        year={2023},
        month={6},
        keywords={Video adaptive streaming, HTTP, Quality of Experience},
        doi={10.4108/eetinis.v10i2.2994}
    }
    
  • Nguyen Viet Hung
    Trinh Dac Chien
    Nam Pham Ngoc
    Thu Huong Truong
    Year: 2023
    Flexible HTTP-based Video Adaptive Streaming for good QoE during sudden bandwidth drops
    INIS
    EAI
    DOI: 10.4108/eetinis.v10i2.2994
Nguyen Viet Hung1,*, Trinh Dac Chien2, Nam Pham Ngoc2, Thu Huong Truong3
  • 1: Faculty of Information Technology, East Asia University of Technology, Vietnam
  • 2: VinUniversity
  • 3: Hanoi University of Science and Technology
*Contact email: hungnv@eaut.edu.vn

Abstract

We have observed a boom in video streaming over the Internet, especially during the Covid-19 pandemic, that could exceed the network resource availability. In addition to upgrading the network infrastructure, finding a way to smartly adapt the streaming system to the network and users’ conditions to satisfy clients’ perceptions is exceptionally critical, too. This paper proposes a new QoE-aware adaptive streaming scheme over HTTP - ABRA - to make flexible adaptations based on the network and the client’s current status. Besides, we propose a technique that can keep the buffer at an average high for more than 10s. We were limiting the phenomena of rebuffering due to unexpected and unpredictable bandwidth changes. The algorithm keeps the quality of subsequent versions’ quality constant even when the average bitrate decreases, increasing the QoE. Experimental results show that our method can improve QoE from 7.86% to 20.41% compared to state-of-the-art methods. ABRA can provide better performance in terms of QoE score in all buffer conditions compared to the existing solutions while maintaining a minimum secured buffer level for the worst case.

Keywords
Video adaptive streaming, HTTP, Quality of Experience
Received
2023-01-19
Accepted
2023-05-12
Published
2023-06-09
Publisher
EAI
http://dx.doi.org/10.4108/eetinis.v10i2.2994

Copyright © 2023 Nguyen Viet Hung et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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