A study on Quality of Experience for adaptive streaming service

Liu, Yitong; Shen, Yun; Mao, Yinian; Liu, Jing; Qi, Lin; Yang, Dacheng

doi:10.1109/iccw.2013.6649320

Cited by 47 publications

(31 citation statements)

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“…In the same time, the study presented in [3] indicates that if the duration spent on the high quality level is sufficiently long, higher switching frequencies do not significantly degrade the QoE. Considering the switching amplitude, most of the previous studies [3][4][5][6][7] conclude that gradual multiple variations are preferred over rapid variations. Nevertheless, as highlighted in [4], this conclusion may not be applied to the scenarios where the quality levels' difference is very small.…”

Section: Introductionmentioning

confidence: 89%

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Quality of Experience of adaptive video streaming: Investigation in service parameters and subjective quality assessment methodology

Tavakoli

Brunnström

Gutiérrez

et al. 2015

Signal Processing: Image Communication

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The usage of HTTP adaptive streaming (HAS) has become widely spread in multimedia services. Because it allows the service providers to improve the network resource utilization and user's Quality of Experience (QoE). Using this technology, the video playback interruption is reduced since the network and server status in addition to capability of user device, all are taken into account by HAS client to adapt the quality to the current condition. Adaptation can be done using different strategies. In order to provide optimal QoE, the perceptual impact of adaptation strategies from point of view of the user should be studied. However, the time-varying video quality due to the adaptation which usually takes place in a long interval introduces a new type of impairment making the subjective evaluation of adaptive streaming system challenging. The contribution of this paper is two-fold: first, it investigates the testing methodology to evaluate HAS QoE by comparing the subjective experimental outcomes obtained from ACR standardized method and a semi-continuous method developed to evaluate the long sequences. In addition, influence of using audiovisual stimuli to evaluate the video-related impairment is inquired. Second, impact of some of the adaptation technical factors including the quality switching amplitude and chunk size in combination with high range of commercial content type is investigated. The results of this study provide a good insight toward achieving appropriate testing method to evaluate HAS QoE, in addition to designing switching strategies with optimal visual quality.

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Section: Introductionmentioning

confidence: 89%

“…About the switching frequency, results presented in [2][3][4][5][6] show that frequency of the adaptation should be kept as low as possible. In the same time, the study presented in [3] indicates that if the duration spent on the high quality level is sufficiently long, higher switching frequencies do not significantly degrade the QoE.…”

Section: Introductionmentioning

confidence: 99%

Quality of Experience of adaptive video streaming: Investigation in service parameters and subjective quality assessment methodology

Tavakoli

Brunnström

Gutiérrez

et al. 2015

Signal Processing: Image Communication

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“…Considering the amplitude of the switch, most of the studies in the literature [8][9][10][11][12] come to the conclusion that gradual multiple variations are preferred over abrupt variations. Neverthless, as highlighed in [8], this conclusion may not be generalizable to scenarios where quality levels exhibit a small degree of separation.…”

Section: What We Do Knowmentioning

confidence: 99%

“…Switching frequency also impacts QoE, as highly frequent quality variations may be annoying to the user [8][9][10][11][12][13]. Additionally, there is an interaction between frequency and amplitude of switches.…”

Section: What We Do Knowmentioning

confidence: 99%

“…Many studies have addressed the "to switch or not to switch" dilemma [8][9][10][11][12][13][14][15][16], with the result that constant quality is usually preferred to varying quality. In particular: short-term spikes may severely degrade the perceived quality [12]; constant (even lower) quality is preferred to decreasing quality (from higher to lower) [10]; constant or nearly constant quality is preferable to frequently varying quality, even if mean quality is lower [9,13]. In general, providing a bitrate as high as possible does not necessarily lead to the highest QoE [11].…”

Section: What We Do Knowmentioning

confidence: 99%

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Quality of experience and HTTP adaptive streaming: A review of subjective studies

Garcia

Simone

Tavakoli

et al. 2014

2014 Sixth International Workshop on Quality of Multimedia Experience (QoMEX)

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HTTP adaptive streaming technology has become widely spread in multimedia services because of its ability to provide adaptation to characteristics of various viewing devices and dynamic network conditions. There are various studies targeting the optimization of adaptation strategy. However, in order to provide an optimal viewing experience to the end-user, it is crucial to get knowledge about the Quality of Experience (QoE) of different adaptation schemes. This paper overviews the state of the art concerning subjective evaluation of adaptive streaming QoE and highlights the challenges and open research questions related to QoE assessment.

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Network-Dependent Server Performance Analysis of HTTP Adaptive Streaming

Gramatikov¹

2017

ICT Innovations 2017

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A study on Quality of Experience for adaptive streaming service

Cited by 47 publications

References 1 publication

Quality of Experience of adaptive video streaming: Investigation in service parameters and subjective quality assessment methodology

Quality of Experience of adaptive video streaming: Investigation in service parameters and subjective quality assessment methodology

Quality of experience and HTTP adaptive streaming: A review of subjective studies

Network-Dependent Server Performance Analysis of HTTP Adaptive Streaming

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