Modeling of Cumulative QoE in On-Demand Video Services: Role of Memory Effect and Degree of Interest

Duc, Tho Nguyen; Tran, Chanh Minh; Tan, Phan Xuan; Kamioka, Eiji

doi:10.3390/fi11080171

Cited by 10 publications

(4 citation statements)

References 41 publications

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“…Sometimes also socio-economic status was checked (occupation, education level, family status [26]), and their experience in a field of interest (how long were they using mobile phones [25], [26] or are they interested in presented content [38], [39], [41]). For each category of papers we present tables (6,7,8) with goals of the studies and type of technical subjective data described in results.…”

Section: Results Presented In the Papersmentioning

confidence: 99%

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Long-Term Video QoE Assessment Studies: A Systematic Review

et al. 2022

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Although longitudinal studies are common in other disciplines, such as psychology, medicine, or User Experience, they are rarely used in Quality of Experience (QoE). However, observing users over time can provide useful information on the QoE and help to better understand its influencing factors. Here, we present a systematic review of the methodologies of longitudinal studies in the QoE domain. We review papers selected through a systematic search and discuss various aspects of described studies, such as methods of gathering subjective assessment or length of the studies. Our work recognizes common practices that can be used to reproduce and extend the proposed long-term study designs. Additionally, based on our review, we propose future work directions for the longitudinal QoE studies.

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Section: Results Presented In the Papersmentioning

confidence: 99%

“…Memory effects are very important for service providers, as the memory may affect users' motivation to change the provider, especially if they are annoyed with a service. According to [6] and [50], the memory of a negative experience at a specific time point depends on:…”

Section: B Longitudinal Studies In Qoementioning

confidence: 99%

Long-Term Video QoE Assessment Studies: A Systematic Review

et al. 2022

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“…Rebuffering event should be eliminated since it is the most serious video impairment that degrades the user's QoE [46]. In this evaluation, the total number of rebuffering events of all clients is collected.…”

Section: Number Of Rebuffering Events (Rebu F F )mentioning

confidence: 99%

FAURAS: A Proxy-Based Framework for Ensuring the Fairness of Adaptive Video Streaming over HTTP/2 Server Push

et al. 2020

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HTTP/2 video streaming has gotten a lot of attention in the development of multimedia technologies over the last few years. In HTTP/2, the server push mechanism allows the server to deliver more video segments to the client within a single request in order to deal with the requests explosion problem. As a result, recent research efforts have been focusing on utilizing such a feature to enhance the streaming experience while reducing the request-related overhead. However, current works only optimize the performance of a single client, without necessary concerns of possible influences on other clients in the same network. When multiple streaming clients compete for a shared bandwidth in HTTP/1.1, they are likely to suffer from unfairness, which is defined as the inequality in their bitrate selections. For HTTP/1.1, existing works have proven that the network-assisted solutions are effective in solving the unfairness problem. However, the feasibility of utilizing such an approach for the HTTP/2 server push has not been investigated. Therefore, in this paper, a novel proxy-based framework is proposed to overcome the unfairness problem in adaptive streaming over HTTP/2 with the server push. Experimental results confirm the outperformance of the proposed framework in ensuring the fairness, assisting the clients with avoiding rebuffering events and lowering bitrate degradation amplitude, while maintaining the mechanism of the server push feature.

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“…• Number of Rebuffering Events (Rebu f f ): Rebuffering event should be eliminated since it is the most serious video impairment that degrades the user's QoE [46]. In this evaluation, the total number of rebuffering events of all clients is collected.…”

Section: Evaluation Scenarios and Metricsmentioning

confidence: 99%

FAURAS: A Proxy-based Framework for Ensuring the Fairness of Adaptive Video Streaming over HTTP/2 Server Push

Tran¹,

Duc²,

Tan³

et al. 2020

Preprint

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HTTP/2 video streaming has caught a lot of attentions in the development of multimedia technologies over the last few years. In HTTP/2, the server push mechanism allows the server to deliver more video segments to the client within a single request in order to deal with the requests explosion problem. As a result, recent research efforts have been focusing on utilizing such a feature to enhance the streaming experience while reducing the request-related overhead. However, current works only optimize the performance of a single client, without necessary concerns of possible influences on other clients in the same network. When multiple streaming clients compete for a shared bandwidth in HTTP/1.1, they are likely to suffer from unfairness, which is defined as the inequality in their bitrate selections. For HTTP/1.1, existing works have proven that the network-assisted solutions are effective in solving the unfairness problem. However, the feasibility of utilizing such an approach for the HTTP/2 server push has not been investigated. Therefore, in this paper, a novel proxy-based framework is proposed to overcome the unfairness problem in adaptive streaming over HTTP/2 with the server push. Experimental results confirm the outperformance of the proposed framework in ensuring the fairness, assisting the clients to avoid rebuffering events and lower bitrate degradation amplitude, while maintaining the mechanism of the server push feature.

show abstract

Modeling of Cumulative QoE in On-Demand Video Services: Role of Memory Effect and Degree of Interest

Cited by 10 publications

References 41 publications

Long-Term Video QoE Assessment Studies: A Systematic Review

Long-Term Video QoE Assessment Studies: A Systematic Review

FAURAS: A Proxy-Based Framework for Ensuring the Fairness of Adaptive Video Streaming over HTTP/2 Server Push

FAURAS: A Proxy-based Framework for Ensuring the Fairness of Adaptive Video Streaming over HTTP/2 Server Push

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