Subjective Impression of Variations in Layer Encoded Videos

Zink, Michael; Künzel, Oliver; Schmitt, Jens; Steinmetz, Ralf

doi:10.1007/3-540-44884-5_8

Cited by 84 publications

(100 citation statements)

References 12 publications

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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%

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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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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%

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)

View full text Add to dashboard Cite

show abstract

“…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: 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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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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“…Such behaviour will result in rapid oscillations of video quality, what will be negatively perceived by users [66,67]. For this reason, we introduce the second measure which sums the quality switches:…”

Section: Models Applicationmentioning

confidence: 99%

Analysis and modelling of traffic produced by adaptive HTTP-based video

Biernacki

2016

Multimed Tools Appl

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The increase of HTTP-based video popularity causes that broadband and Internet service providers' links transmit mainly multimedia content. Network planning, traffic engineering or congestion control requires an understanding of the statistical properties of network traffic; therefore, it is desirable to investigate the characteristic of traffic traces generated by systems which employ adaptive bit-rate streaming. Our first contribution is an investigation of traffic originating from 120 client-server pairs, situated in an emulated content distribution network, and multiplexed onto a single network link. We show that the structure of the traffic is distinct from the structure generated by the first and second generation of HTTP video systems, and furthermore, not similar to the structure of general Internet traffic. The obtained traffic exhibits negative and positive correlations, anti-persistence, and its distribution function is skewed to the right. Our second contribution is an approximation of the traffic by ARIMA/FARIMA processes blue and artificial neural networks. As we show, the obtained traffic models are able to enhance the performance of an adaptive streaming algorithm.

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Subjective Impression of Variations in Layer Encoded Videos

Cited by 84 publications

References 12 publications

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

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

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

Analysis and modelling of traffic produced by adaptive HTTP-based video

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