Quality adaptation using Scalable Video Coding (SVC) in Peer-to-Peer (P2P) Video-on-Demand(VoD) streaming

Lahbabi, Youssef; Elhaj, El Hassan Ibn; Hammouch, Ahmed

doi:10.1109/icmcs.2014.6911236

Cited by 12 publications

(5 citation statements)

References 10 publications

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“…The authors in [16] proposed a quality adaption mechanism over the p2p network with the help of SVC. The quality adaption mechanism works in two different phases.…”

Section: Related Workmentioning

confidence: 99%

Achieving maximum utilization of peer’s upload capacity in p2p networks using SVC

Raheel

Raad

Ritz

2015

Peer-to-Peer Netw. Appl.

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We propose an algorithm that exploits the properties of Scalable Video Coding (SVC) in order to minimize the upload bandwidth at each peer. More specifically, we propose streaming different layers of the same video from different peers. The paper defines an optimization problem to handle the upload bandwidth at each peer. However, the solution to the proposed problem is NP complete. Therefore, we propose an approximation algorithm to solve this problem. In addition, seed servers are introduced in order to deal with extra load in the network. The proposed method provides better performance as compared to the current approaches that use single layer video in combination with SVC. We have compared our simulation results with the model proposed in Shabnam and Mohamed (2010). The simulation results show that the proposed model improves diversity, increases average video quality, reduces the effect of churn and manages flash crowds.

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“…The authors in [16] proposed a quality adaption mechanism over the p2p network with the help of SVC. The quality adaption mechanism works in two different phases.…”

Section: Related Workmentioning

confidence: 99%

Achieving maximum utilization of peer’s upload capacity in p2p networks using SVC

Raheel

Raad

Ritz

2015

Peer-to-Peer Netw. Appl.

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“…In Fig. 3, we present our model of quality adaptation, this model is extended from an existing model [10], by adding another parameter, which is the IP address of the user, in order to guarantee a continuity of service in the IMS P2P network, by ensuring an update of the list of peers after each change of IP address of the users following the model of Fig. 4, and we have created a C ++ code which simulates this model which aims to define the adequate quality (d, t, q) (spatial, temporal , qualitative) with the performance of the user, and we proceed as follows: 1) Executing the spatial adaptation, extracting the SVC levels that have the resolution of the appropriate video for the user according to the resolution parameter of the user's screen.…”

Section: Proposed Architecturementioning

confidence: 99%

Seamless Connectivity for Adaptive Multimedia Provisioning over P2P-enabled IP Multimedia Subsystem

Ghani¹,

Hassan²,

Hammouch³

et al. 2019

IJACSA

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The subsystem multimedia internet network (IMS) has been upgraded to support peer-to-peer content distribution services, the peer heterogeneity constraint imposes a challenge that is the guarantee of a certain level of QOS of the video for the different pairs, and the transfer poses a challenge for maintaining quality of service (QoS) in IMS. In this article, we we have extended a scalable Video Coding (SVC) peer-to-peer streaming adaptation model and our extension allows to add another parameter for this adaptation scheme which is the IP address of the peers, so to manage multiple network accesses to a peer when the user changes the type of access, due to a transfer or a loss of connectivity, this model is used to adapt the video quality to the static resources of the peers in order to avoid long start times, and to compare the results obtained for changing the type of network access, we performed two simulation scenarios, one with multiple peers that are connected to the network until the end of the video download by the peers and the other scenario with the change of the address of a peer during the operation of downloading the video sequence by peers. We quantified streaming performance using two metrics of evaluation (peak signal-to-noise ratio (PSNR)) and video quality metrics (VQM)), and also we extracted from the values of PLR (Packets loss rate). Our results show that our model has a better adaptation of the quality according to the network resources of the peers in term of bandwidth available in the network and the performances of the users (CPU, RAM, autonomy of the battery) and also allows a continuity of service in the network by ensuring that the list of peers is updated after each change. The results show a clear quality adaptation with heterogeneous terminals.

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“…An initial quality set with base layer quality level parameters , , and is populated at first. And then, the spatial scalability, temporal scalability, bitrate [28], quality scalability, complexity adaptation [29] and distributions video length relative battery Life [30][31] adaptation modules select out all compatible quality level based on screen resolution, bandwidth, and device power respectively considering the user preference limitations. All the compatible combinations are appended as candidates.…”

Section: A Layer Level Initialization (Lli)mentioning

confidence: 99%

Adaptive P2PTV with scalable video coding

Lahbabi

Elhaj

Hammouch

2014

2014 Third IEEE International Colloquium in Information Science and Technology (CIST)

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In this paper, we propose a novel quality adaptation mechanisms using Scalable Video Coding (SVC) over Peer-toPeer Television (P2PTV) architecture in order to provide maximum quality level. Our algorithms are based on the idea of dividing quality adaptation into two stages. The first stage, Layer Level Initialization (LLI), allows adapting to static resources at the peers. After streaming starts, another set of algorithms called the Layer Level Adjustment (LLA) is used to adapt the H.264/SVC streams with available real time resources of P2PTV. LLA is evaluated and compared with Progressive Quality Adaptation (PQA) on Quality of PSNR metric using PSIM simulator. Performance evaluation demonstrates that LLA outperforms PQA and provides a significant improvement in the PSNR value in term of adapting the Quantization Parameter (QP) with instantaneous throughput available at the peer .

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Quality adaptation using Scalable Video Coding (SVC) in Peer-to-Peer (P2P) Video-on-Demand(VoD) streaming

Cited by 12 publications

References 10 publications

Achieving maximum utilization of peer’s upload capacity in p2p networks using SVC

Achieving maximum utilization of peer’s upload capacity in p2p networks using SVC

Seamless Connectivity for Adaptive Multimedia Provisioning over P2P-enabled IP Multimedia Subsystem

Adaptive P2PTV with scalable video coding

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