QoE-aware Video Adaptive Streaming over HTTP

Dac, Chien T.; Tran, Huyen T. T.; Hương, Trương Thu; Tran, S.M.; Thanh, Nguyen Huu; Nam, Pham Ngoc; Thang, Truong Cong

doi:10.1109/icce48956.2021.9352077

Cited by 4 publications

(16 citation statements)

References 17 publications

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“…From another side, in the direction of mixed algorithms that take into account the QoE model, we can find several work such as [13] and researches [3]- [5], [21]. The authors in work [13] proposes to use game theory to allocate resource to improve QoE for multiple users.…”

Section: Related Workmentioning

confidence: 99%

“…However, fixing estimation for 2 segments makes work [4] not work quite well in the case there is a sharp bandwidth drop. Work [21] considers a new adaptive streaming algorithm based on the throughput status, buffer level, and the QoE perceived by users. Therefore, to obtain more stable and high versions and so the QoE, the proposed algorithm took more next segments into account.…”

Section: Related Workmentioning

confidence: 99%

“…Compute B e i+1,v 1 and B e i+2,v 2 and B e i+3,v 3 by ( 2), ( 4) and ( 5) Compute the overall quality QoE i+3 by the QoE model proposed in [17] if {(QoE i+3 > QoE max ) and (B e i+1,V i+1 > Bmin) and (B e i+2,V i+2 > Bmin + ∆Berr) and (B e i+3,V i+3 > Bmin + ∆Berr)} then QoE max ← QoE i+3 Vi+1 ← v1, Vi+2 ← v2 and Vi+3 ← v3 end end end end the algorithm -All-Buffer-Range-Adaptation ABRA. ABRA is an enhanced version of work [21]. ABRA flexibly calculates adapted versions either for the next 2 segments or 3 segments.…”

Section: V1 Domentioning

confidence: 99%

“…In case throughput decreases strongly, ABRA calculate adapted versions for next 3 segments, else for next 2 segments. If work [21] focuses more to find a solution for a medium buffer condition, still having a disadvantage of not working very well in the low and high buffer condition. With this ABRA, when buffer is low and throughput increases strongly, ABRA keeps the same version.…”

Section: V1 Domentioning

confidence: 99%

“…Based on that fact, in this paper, we propose a rate adaptation strategy on the client-side to improve QoE perceived by users (namely ABRA). This work is also considered the improved version of the adaptation algorithm previously proposed by work [21]. In ABRA, the client's buffer was divided into three levels, and the change in throughput measured from the client-side was divided into two different cases.…”

Section: Introductionmentioning

confidence: 99%

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Flexible QoE optimized Video Adaptive Streaming over HTTP for sudden bandwidth drops

Viet¹,

Ngoc²,

Hương³

2022

Preprint

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<p>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 at a constant level 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. </p>

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%