Statistics of video signals for viewphone-type pictures

Chin, Hin-Soon; Goodge, J.W.; Griffiths, Rachel; Parish, David J.

doi:10.1109/49.32346

Cited by 38 publications

(9 citation statements)

References 4 publications

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“…The results of relevant early studies [2], [3], [4], [5], [6], [7], [8], [9] concerning the statistical analysis of variable bit rate videoconference streams being multiplexed in ATM networks, indicate that the histogram of the videoconference frame-size sequence exhibits an asymmetric bell shape and that the autocorrelation function decays approximately exponentially to zero. An important body of knowledge, in videoconference traffic modeling, is the approach in [6] where the DAR(1) [1] model was proposed.…”

Section: Introductionmentioning

confidence: 99%

An Introduction to Videoconference Video Traffic

Domoxoudis

Kouremenos

Loumos

et al. 2010

Organizational, Business, and Technological Aspects of the Knowledge Society

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Abstract. This paper presents modeling results for H.26x video traffic generated by popular videoconference software applications. The analysis of videoconference data that were measured during realistic point-point videoconference sessions, led us to the general conclusion that the traffic can be distinguished into two categories: unconstrained and constrained. In the unconstrained traffic, there is a direct relation between the encoder and the form of the frequency histogram of the frame-size sequence. Moreover, for this type of traffic, strong correlations between successive video frames can be found. On the other hand, where bandwidth constraints are imposed during the encoding process, the generated traffic appears to exhibit similar characteristics for all the examined encoders with the very low autocorrelation values being the most notable one.

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Section: Introductionmentioning

confidence: 99%

An Introduction to Videoconference Video Traffic

Domoxoudis

Kouremenos

Loumos

et al. 2010

Organizational, Business, and Technological Aspects of the Knowledge Society

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“…Hence, the problem of modeling video traffic, in general, and videoconferencing, in particular, has been extensively studied in the literature. In [39], various differences in successive video frame sizes of VBR video traffic were investigated. In [35], [36], [37], different approaches are proposed for MPEG traffic, based on the lognormal, Gamma, and a hybrid Gamma/lognormal distribution model.…”

Section: Introductionmentioning

confidence: 99%

Dynamic versus Static Traffic Policing: A New Approach for Videoconference Traffic over Wireless Cellular Networks

Koutsakis

2009

IEEE Trans. on Mobile Comput.

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The subject of traffic policing for computer communication networks has been studied extensively in the literature. However, the constant development of new multimedia applications which are "greedy" in terms of bandwidth and Quality of Service requirements calls for new approaches to the traffic policing problem. In this work, we introduce a new video model for single H.263 videoconference sources and we use it in order to propose a new traffic policing approach for wireless videoconference traffic. We study well-known traffic policing mechanisms which still present interesting, unsolved problems when servicing video traffic and propose, to the best of our knowledge, for the first time in the relevant literature that the token generator is based on a traffic model and not on a fixed rate. The proposed approach shows significant improvement in the results obtained by all the traffic policing mechanisms, and hence, shows that dynamic traffic policing can provide much higher efficiency than the widely used static approach.

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“…The Gamma distribution has mean pμ and variance pμ 2 and by equating to the mean and sample variance, denoted as m and v respectively, it can be deduced that μ=v/m and p=m 2 /v. Table 3 contains the Gamma distribution parameters for each quantization scale and Figure 5 illustrates the frame histograms in conjunction with the corresponding Gamma models.…”

Section: Table 2: Variation Coefficients Of the Various Frame Typesmentioning

confidence: 99%

Analysis and Modeling of H.264 Unconstrained VBR Video Traffic

Koumaras

Skianis

Kourtis³

2009

International Journal of Mobile Computing and Multimedia Communications

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Abstract. In future communication networks, video is expected to represent a large portion of the total traffic, given that especially variable bit rate (VBR) coded video streams, are becoming increasingly popular. Consequently, traffic modeling and characterization of such video services is essential for the efficient traffic control and resource management. Besides, providing an insight of video coding mechanisms, traffic models can be used as a tool for the allocation of network resources, the design of efficient networks for streaming services and the reassurance of specific QoS characteristics to the end users. The new H.264/AVC standard, proposed by the ITU-T Video Coding Expert Group (VCEG) and ISO/IEC Moving Pictures Expert Group (MPEG), is expected to dominate in upcoming multimedia services, due to the fact that it outperforms in many fields the previous encoded standards. This paper presents both a frame and a layer (i.e. I, P and B frames) level analysis of H.264 encoded sources. Analysis of the data suggests that the video traffic can be considered as a stationary stochastic process with an autocorrelation function of exponentially fast decay and a marginal frame size distribution of approximately Gamma form. Finally, based on the statistical analysis, an efficient model of H.264 video traffic is proposed.

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Statistics of video signals for viewphone-type pictures

Cited by 38 publications

References 4 publications

An Introduction to Videoconference Video Traffic

An Introduction to Videoconference Video Traffic

Dynamic versus Static Traffic Policing: A New Approach for Videoconference Traffic over Wireless Cellular Networks

Analysis and Modeling of H.264 Unconstrained VBR Video Traffic

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