Sporadic frame dropping impact on quality perception

Pastrana-Vidal, Ricardo R.; Gicquel, Jean Charles; Colomes, Catherine; Cherifi, Hocine

doi:10.1117/12.525746

Cited by 75 publications

(53 citation statements)

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“…Already back in 2004, the study in [18] has shown that QoE is influenced by both the duration and the frequency of stalling events. Particularly, subjects prefer a single stalling of longer duration compared to multiple short freezes (confirmed by the study in [8]) and regular (e.g.…”

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)

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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%

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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“…Although psychoacoustic experiments are not the object of this research, we use the available publications to determine the optimal thresholds for the minimum duration of the silence and the minimum noticeable amplitude of the waveform [16]. …”

Section: Resultsmentioning

confidence: 99%

“…This way, the related research work [16] describes how different lengths, contents and local activity levels affect the quality perceived. It should be noted that the goal of the MOAVI project is to develop a set of metrics that will work without analysing the content.…”

Section: Algorithmmentioning

confidence: 99%

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Monitoring of audio visual quality by key indicators

Fernández¹,

Leszczuk

2017

Multimed Tools Appl

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Over 10 billion hours of video are watched online every month. Together with high definition television broadcasting and the rise in high quality video on demand, this makes quality assessment a key task in the global multimedia market. Automating quality checking is currently based on finding major audiovisual artefacts. The Monitoring Of Audio Visual quality by key Indicators (MOAVI) subgroup of the Video Quality Experts Group (VQEG) is an open collaborative project for developing No-Reference models for monitoring audiovisual service quality. The purpose of this paper is to report on the development of the audiovisual part of this project, which includes the detection of muting, clipping and lip synchronization (also known as lip sync) artefacts.

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“…Based on the relevant literature [18], a video signal may suffer several forms of degradation at any stage of the transmission chain, resulting in severe motion discontinuities in video streaming that the end-user may perceive as jerky motion and instantaneous fluidity breaks. Packet loss (or delay jitter as another aspect of the packet loss effect) in the transmitted networks is the main cause of this perceived jerkiness/break since they cause the discarding of sporadic frames during the decoding process because of the limited buffering time.…”

Section: Theoretical Layered Mapping Approachmentioning

confidence: 99%

A novel monitoring architecture for media services adaptation based on network QoS to perceived QoS mapping

Sidibe¹,

Koumaras

Kofler

et al. 2008

SIViP

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Abstract-One of the future visions of multimedia networking is the provision of multimedia content at a variety of quality and price levels. Of the many approaches to this issue, one of the most predominant techniques is the concept of Perceived Quality of Service (PQoS), which extends the traditional engineering-based QoS concept to the perceptual satisfaction that the user receives from the reception of multimedia content. In this context, PQoS monitoring is becoming crucial to media service providers (SPs) for providing not only quantified PQoS-based services, but also service assurance based on multimedia content adaptation across heterogeneous networks. This work proposes a novel cross-layer monitoring architecture that utilizes a new Network QoS (NQoS) to PQoS mapping framework at the application level. The resulting QoS monitoring should allow the content delivery system to take sophisticated actions for real time media content adaptation, and aims to provide perceived service performance verification with respect to the QoS guarantees that have been specified in contractual agreements between providers and end-users. A subsequent performance evaluation of the proposed model conducted using a real test-bed environment demonstrates both the accuracy and feasibility of the network level measurements, the NQoS to PQoS mapping and the overall feasibility of the proposed end-to-end monitoring solution.

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Sporadic frame dropping impact on quality perception

Cited by 75 publications

References 0 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

Monitoring of audio visual quality by key indicators

A novel monitoring architecture for media services adaptation based on network QoS to perceived QoS mapping

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