High-Definition Video Streams Analysis, Modeling, and Prediction

Al-Tamimi, Abdel-Karim; Jain, Raj; So-In, Chakchai

doi:10.1155/2012/539396

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…The short-term traffic analysis usually employs statistical methods such as regression [1,26], whereas the long-term traffic analysis is dominantly affected by the network technology used as well as by the various economic and demographic factors [2]. There are different methodologies to forecast broadband traffic [24,32,43].…”

Section: Building Long-term Traffic Modelsmentioning

confidence: 99%

Long-term drivers of broadband traffic in next-generation networks

et al. 2014

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This paper is concerned with long-term (20+years) forecasting of broadband traffic in next-generation networks. Such long-term approach requires going beyond extrapolations of past traffic data while facing high uncertainty in predicting the future developments and facing the fact that, in 20 years, the current network technologies and architectures will be obsolete. Thus, "order of magnitude" upper bounds of upstream and downstream traffic are deemed to be good enough to facilitate such long-term forecasting. These bounds can be obtained by evaluating the limits of human sighting and assuming that these limits will be achieved by future services or, alternatively, by considering the contents transferred by bandwidth-demanding applications such as those using embedded interactive 3D video streaming. The traffic upper bounds are a good indication of the peak values and, subsequently, also of the future network capacity demands. Furthermore, the main drivers of traffic growth including multimedia as well as non-multimedia applications are identified. New disruptive applications and services are explored that can make good use of the large bandwidth provided by next-generation networks. The results can be used to identify monetization opportunities of future services and to map potential revenues for network operators.

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Section: Building Long-term Traffic Modelsmentioning

confidence: 99%

Long-term drivers of broadband traffic in next-generation networks

et al. 2014

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“…Previous studies have considered long videos only for video coding standards preceding H.265/HEVC. For instance, the traffic of long H.264/AVC and H.264 SVC encoded videos has been studied in [ 15 – 17 ]. To the best of our knowledge, the traffic characteristics of H.265/HEVC for long videos are for the first time examined in this present study.…”

Section: Introductionmentioning

confidence: 99%

Video Traffic Characteristics of Modern Encoding Standards: H.264/AVC with SVC and MVC Extensions and H.265/HEVC

Seeling

Reisslein

2014

The Scientific World Journal

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Video encoding for multimedia services over communication networks has significantly advanced in recent years with the development of the highly efficient and flexible H.264/AVC video coding standard and its SVC extension. The emerging H.265/HEVC video coding standard as well as 3D video coding further advance video coding for multimedia communications. This paper first gives an overview of these new video coding standards and then examines their implications for multimedia communications by studying the traffic characteristics of long videos encoded with the new coding standards. We review video coding advances from MPEG-2 and MPEG-4 Part 2 to H.264/AVC and its SVC and MVC extensions as well as H.265/HEVC. For single-layer (nonscalable) video, we compare H.265/HEVC and H.264/AVC in terms of video traffic and statistical multiplexing characteristics. Our study is the first to examine the H.265/HEVC traffic variability for long videos. We also illustrate the video traffic characteristics and statistical multiplexing of scalable video encoded with the SVC extension of H.264/AVC as well as 3D video encoded with the MVC extension of H.264/AVC.

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High-Definition Video Streams Analysis, Modeling, and Prediction

Cited by 2 publications

References 21 publications

Long-term drivers of broadband traffic in next-generation networks

Long-term drivers of broadband traffic in next-generation networks

Video Traffic Characteristics of Modern Encoding Standards: H.264/AVC with SVC and MVC Extensions and H.265/HEVC

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