QoE management for video conferencing applications

Vakili, Ahmad; Grégoire, Jean-Charles

doi:10.1016/j.comnet.2013.03.002

Cited by 16 publications

(8 citation statements)

References 28 publications

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“…Video coding affects the quality perception of video streaming as stated in literature [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31]. A variety of video coding standards have been analysed in this context, such as H.264/ advanced video coding (AVC) or H.265/HEVC.…”

Section: Related Workmentioning

confidence: 99%

“…Higher bitrate enables higher degree of user satisfaction [16,34], but also requires higher resolution and more network resources which can be challenging when bandwidth is limited [15,21]. Furthermore, bitrate is related to the transmission efficiency.…”

Section: Related Workmentioning

confidence: 99%

“…Furthermore, high sampling rate increases the quality perception, but requires more resources and processing time. Therefore, it is necessary to take care of the price-quality ratio to find their optimal relationship [15,28,31].…”

Section: Related Workmentioning

confidence: 99%

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Impact of media-related SIFs on QoE for H.265/HEVC video streaming

Osmanovic¹,

Husić

Baraković

2018

JCOMSS

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Abstract-Long term evolution (LTE) has distinguished itself compared to other mobile broadband technologies in its ability to handle the growth of video traffic that has become an important part of user's mobile broadband experience. Growing trend of video consumption implies that that media-related system influence factors (SIFs) should be identified and well understood in order to determine how they affect the user's quality of experience (QoE). Therefore, this paper aims to provide a deeper understanding of media-related SIFs and their impact on QoE for video streaming. Experimental study has included two phases, i.e., H.265/ high efficiency video coding (HEVC) coded video streaming emulation over LTE network and end-user survey for collecting mean opinion score (MOS). The original scientific contribution of this study and its results is twofold. For the first time it has been shown that there exists strong and statistically significant impact of media-related SIFs and their interactions on QoE for H.265/HEVC video streaming, and a quantification of relation between QoE and selected media-related SIFs, i.e., prediction model has been provided. The knowledge of these impacts and interactions, as well as prediction model, contributes to increase the awareness of and improvement of video streaming service. This leads to better understanding of end user's QoE and provides a starting point for development of multidimensional QoE model.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Impact of media-related SIFs on QoE for H.265/HEVC video streaming

Osmanovic¹,

Husić

Baraković

2018

JCOMSS

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“…Although some applications generate smooth traffic, aggregate Internet traffic shows a bursty behaviour at all time scales [21]. In order to avoid this problem, some applications include smoothing features [3], which are able to modify the profile of the traffic generated.…”

Section: Problem Statementmentioning

confidence: 99%

“…These bursts may congest network devices if the amount of packets to be transmitted is significant with respect to the buffer size. On the other hand, some applications work to generate smooth traffic [3], with the aim of providing a certain QoS level and better user experience while not being detrimental for the network, at the cost of an increment in the processing capacity. The size of the packets generated by these applications may vary between different Internet services: while some of them (e.g.…”

Section: Introductionmentioning

confidence: 99%

The Effect of the Buffer Size in QoS for Multimedia and Bursty Traffic: When an Upgrade Becomes a Downgrade

2014

KSII TIIS

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This work presents an analysis of the buffer features of an access router, especially the size, the impact on delay and the packet loss rate. In particular, we study how these features can affect the Quality of Service (QoS) of multimedia applications when generating traffic bursts in local networks. First, we show how in a typical SME (Small and Medium Enterprise) network in which several multimedia flows (VoIP, videoconferencing and video surveillance) share access, the upgrade of the bandwidth of the internal network may cause the appearance of a significant amount of packet loss caused by buffer overflow. Secondly, the study shows that the bursty nature of the traffic in some applications traffic (video surveillance) may impair their QoS and that of other services (VoIP and videoconferencing), especially when a certain number of bursts overlap. Various tests have been developed with the aim of characterizing the problems that may appear when network capacity is increased in these scenarios. In some cases, especially when applications generating bursty traffic are present, increasing the network speed may lead to a deterioration in the quality. It has been found that the cause of this quality degradation is buffer overflow, which depends on the bandwidth relationship between the access and the internal networks. Besides, it has been necessary to describe the packet loss distribution by means of a histogram since, although most of the communications present good QoS results, a few of them have worse outcomes. Finally, in order to complete the study we present the MOS results for VoIP calculated from the delay and packet loss rate.

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