Enabling on-demand internet video streaming services to multi-terminal users in large scale

Chen, Zhijia; Chen, Lin; Wei, Xiaogang

doi:10.1109/tce.2009.5373760

Cited by 33 publications

(14 citation statements)

References 20 publications

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“…In [2], it presents the method of solution that provides 3 screens on multiple internet video streaming. This approach enables heterogeneous terminals to access manageable P2P framework and presents topology configuration for improved UDP transport and intelligent contents distribution.…”

Section: Related Workmentioning

confidence: 99%

Profile-based Service Continuity Framework for N-Screen Service

Chung

Paik²,

Rhee

2012

International Journal of Contents

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Section: Related Workmentioning

confidence: 99%

Profile-based Service Continuity Framework for N-Screen Service

Chung

Paik²,

Rhee

2012

International Journal of Contents

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“…To address these issues, the Telecommunication Standardization Sector of the International Telecommunication Union (ITU-T) and ISO/IECMPEG (Moving Picture Experts Group) have published a draft H.264/SVC (scalable video codec) standard. The main feature of H.264/ SVC is that it provides bandwidth-optimized transmission for video streaming by observing current network conditions [2,3]. There are three types of scalability for H.264/SVC: quality, spatial, and temporal.…”

Section: Introductionmentioning

confidence: 99%

H.264/SVC parameter optimization based on quantization parameter, MGS fragmentation, and user bandwidth distribution

Zhang

Liu

et al. 2013

EURASIP J. Adv. Signal Process.

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In the situation of limited bandwidth, how to improve the performance of scalable video coding plays an important role in video coding. The previously proposed scalable video coding optimization schemes concentrate on reducing coding computation or trying to achieve consistent video quality; however, the connections between coding scheme, transmission environments, and users' accesses manner were not jointly considered. This article proposes a H.264/SVC (scalable video codec) parameter optimization scheme, which attempt to make full use of limited bandwidth, to achieve better peak signal-to-noise ratio, based on the joint measure of user bandwidth range and probability density distribution. This algorithm constructs a relationship map which consists of the bandwidth range of multiple users and the quantified quality increments measure, QP e , in order to make effective use of the video coding bit-stream. A medium grain scalability fragmentation optimization algorithm is also presented with respect to user bandwidth probability density distribution, encoding bit rate, and scalability. Experiments on a public dataset show that this method provides significant average quality improvement for streaming video applications.

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“…With the penetration of broadband Internet to the home, video-on-demand (VoD) service has attracted much attention recently [1], [2]. This is evident from numerous deployed on-demand Internet movie applications, such as hulu.com, pplive.com and netflix.com.…”

Section: Introductionmentioning

confidence: 99%

“…1 As streaming servers, they stream their contents to their local users. 2 Each movie is divided into fixed-sized segments (say, 5-20 minutes). Each server can replicate any of the segments depending on their capacities.…”

Section: Introductionmentioning

confidence: 99%

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Joint optimization of content replication and server selection for video-on-demand

Huang

Xia

Chan

et al. 2012

2012 IEEE International Conference on Communications (ICC)

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Abstract-We study providing large-scale video-on-demand (VoD) service to distributed users. In order to achieve scalability in user capacity and reduce the load of the core network, local servers with heterogeneous storage are deployed. Each server replicates the movie segments depending on their access probabilities. Considering the realistic scenario that underlay delay is a function of the total traffic in the link (including crosstraffic), we address two important problems to achieve low user interactive delay: 1) Which segments should each server replicate under the constraints of their capacities to achieve network-wide good locality effect? This is the so-called content replication (CR) problem; and 2) Given a number of remote servers with the requested segment, which one should serve the user? This is the so-called server selection (SS) problem.CR and SS problems couple with each other. In this paper, we propose a simple and distributed algorithm which seeks to jointly optimize CR and SS. The algorithm, termed CR-SS, achieves good caching locality by adaptively replacing segments and selecting servers with a simple lookup. Simulation results on Internet-like topologies show that CR-SS outperforms existing and state-of-the-art approaches by a wide margin, achieving substantially lower user delay.

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Enabling on-demand internet video streaming services to multi-terminal users in large scale

Cited by 33 publications

References 20 publications

Profile-based Service Continuity Framework for N-Screen Service

Profile-based Service Continuity Framework for N-Screen Service

H.264/SVC parameter optimization based on quantization parameter, MGS fragmentation, and user bandwidth distribution

Joint optimization of content replication and server selection for video-on-demand

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