Increasing the user perceived quality for IPTV services

Degrande, Natalie; Laevens, Koenraad; Vleeschauwer, Danny De; Sharpe, Randy

doi:10.1109/mcom.2008.4473090

Cited by 72 publications

(53 citation statements)

References 5 publications

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“…In a similar manner, β is found as in (2). The maximum end-to-end delay threshold was set to 50 ms in tests, as this is the maximum recommended value for IPTV recommended by the ITU-T.…”

Section: Bvs Adaptation Extensionmentioning

confidence: 99%

“…In previous work [1], we proposed a transport scheme that selectively negatively acknowledged (NACKed) lost packets according to their importance. The scheme leveraged the anticipated reduced latency between server and client arising from the widespread use of content delivery networks [2]. However, in such networks packet loss may occur both from poor channel conditions and congestion.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive broadband video streaming using H.264 scalability across a tandem network

Ali

Al-Majeed

Fleury

et al. 2011

2011 4th Joint IFIP Wireless and Mobile Networking Conference (WMNC 2011)

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Abstract-As content management systems for IPTV reduce the latency between server and mobile device, real-time video streaming can tolerate single negative acknowledgments in the event of packet loss. However, the extent of packet retransmissions can be graduated and this paper proposes a scheme that is adaptive to whether network congestion or wireless channel degradation is most responsible for packet loss (or a mixture of both). By using the scalable variety of an H.264 codec, selective retransmission of base and enhancement layers is possible. The paper exhibits the trade-offs that arise as a result of adaptive wireless broadband video streaming. The scheme has been applied to a tandem network, i.e. a heterogeneous network with one part consisting of a wired IP network and the second part consisting of a broadband wireless access network.

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“…In a similar manner, β is found as in (2). The maximum end-to-end delay threshold was set to 50 ms in tests, as this is the maximum recommended value for IPTV recommended by the ITU-T.…”

Section: Bvs Adaptation Extensionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive broadband video streaming using H.264 scalability across a tandem network

Ali

Al-Majeed

Fleury

et al. 2011

2011 4th Joint IFIP Wireless and Mobile Networking Conference (WMNC 2011)

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“…In Degrande et al [6] a system is discussed where the interval between Iframes is much larger than this 460 ms such that the bit rate penalty is small, while still maintaining a small zapping delay. For that purpose the most recent video information is kept in a circular buffer in the network.…”

Section: Using Qoe For Designmentioning

confidence: 99%

Techniques for Measuring Quality of Experience

Kuipers

Kooij

Vleeschauwer³

et al. 2010

Lecture Notes in Computer Science

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Abstract. Quality of Experience (QoE) relates to how users perceive the quality of an application. To capture such a subjective measure, either by subjective tests or via objective tools, is an art on its own. Given the importance of measuring users' satisfaction to service providers, research on QoE took flight in recent years. In this paper we present an overview of various techniques for measuring QoE, thereby mostly focusing on freely available tools and methodologies.

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“…Note that the results in this paper can also be easily extended to the case when one frame is separated into multiple slices. 1 We assume that the channel losses can be characterized via a Gilbert model, and the channel drops or delivers the packet according to the current channel state. At the decoder, we assume that certain temporal error concealment strategy is applied when a P-frame is lost.…”

Section: A General Assumptionsmentioning

confidence: 99%

Modeling and Analysis of Distortion Caused by Markov-Model Burst Packet Losses in Video Transmission

Chakareski

Niu

et al. 2009

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-This paper addresses the problem of distortion modeling for video transmission over burst-loss channels characterized by a finite-state Markov chain. Based on a detailed analysis of the error propagation and the bursty losses, a distortion trellis model is proposed, enabling us to estimate at the both the frame level and sequence level the expected mean-square error (MSE) distortion caused by Markov-model burst packet losses. The model takes into account the temporal dependencies induced by both the motion-compensated coding scheme and the Markov-model channel losses. The model is applicable to most block-based motion-compensated encoders, and most Markovmodel lossy channels as long as the loss pattern probabilities for that channel is computable. Based on the study of the decaying behavior of the error propagation, a sliding window algorithm is developed to perform the MSE estimation with low complexity. Simulation results show that the proposed models are accurate for all tested average loss rates and average burst lengths. Based on the experimental results, the proposed techniques are used to analyze the impact of factors such as average burst length on the average decoded video quality. The proposed model is further extended to a more general form, and the modeled distortion is compared with the data produced from realistic networks loss traces. The experiment results demonstrate that the proposed model is also accurate in estimating the expected distortion for video transmission in real networks.Index Terms-Burst-loss channel, distortion modeling, error propagation, Markov-model loss process, video transmission.

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Increasing the user perceived quality for IPTV services

Cited by 72 publications

References 5 publications

Adaptive broadband video streaming using H.264 scalability across a tandem network

Adaptive broadband video streaming using H.264 scalability across a tandem network

Techniques for Measuring Quality of Experience

Modeling and Analysis of Distortion Caused by Markov-Model Burst Packet Losses in Video Transmission

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