Packet level video quality evaluation of extensive H.264/AVC and SVC transmission simulation

Skupin, Robert; Hellge, Cornelius; Schierl, Thomas; Wiegand, Thomas

doi:10.1007/s13174-011-0025-z

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…There are other approaches different to objective metrics. Singh et al (2011) Similarly, Skupin et al (2011) propose a packet level analysis of SVC stream through a new metric, PLVQE, to speed up large simulations. The QoE values of sample sequences are recorded in a database.…”

Section: Related Workmentioning

confidence: 99%

A Framework to Measure and Estimate Video Quality in SVC Real-Time Adaptive Systems

Álvarez

Pozueco

Cabrero

et al. 2014

International Journal of Business Data Communications and Networking

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Effectively adapting the content to network conditions in real-time is an important matter in best-effort networks like the Internet. Scalable Video Coding (SVC) is an interesting alternative to implement such systems. However, some problems of the performance evaluation of SVC based adaptive systems have not been solved. The authors review the main efforts directed to measure video quality on SVC related systems and discuss the limitations of each one. This paper elaborates a framework to measure video quality metrics in real adaptive SVC based streams. An estimation method for full reference video quality metrics is proposed. This method reduces reference information required and it is able to provide real-time accurate results simply using metadata regarding the video quality of the reference layers. The video quality of several streams that have been generated using a real-time adaptive system is first measured with the elaborated framework and then estimated with the proposed method.

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Section: Related Workmentioning

confidence: 99%

A Framework to Measure and Estimate Video Quality in SVC Real-Time Adaptive Systems

Álvarez

Pozueco

Cabrero

et al. 2014

International Journal of Business Data Communications and Networking

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“…America-USA, CTI-Greece, and from universities such as UC Davis-University of California-USA, Kumamoto university-Japan, Lisbon University InstitutePortugal, ITS Surabaya and Universitas Nusa CendanaIndonesia. We have received quite a high citation by quality external research works such as [8], [9], [10], [11], [12] as well as our college's research works such as [13], [14], [15], [16]. Regretting of not having enough resources to fully support the public's concerns about the EvalSVC platform, the first contribution of this paper is to give a full and detailed descriptions of this tool-set so that people can handle EvalSVC, integrate it into their research work, enrich it upon their needs and requirements to make it a real community's platform for researchers and developers of SVC-based multimedia services.…”

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confidence: 99%

End-to-end transmission of scalable video contents: performance evaluation over EvalSVC—a new open-source evaluation platform

Le¹,

Nguyen²

2013

Multimed Tools Appl

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Nevertheless, multimedia service research and industry community have not been able to fully utilize the entire potential of this video coding standard because of the lack of a platform for evaluating the end-to-end transmission of SVC-contents. EvalSVC aims to foster SVC-based applications and research in multimedia services. It is capable of evaluating the end-to-end transmission of SVC bit-streams encoded with enhanced features (spatial, temporal, SNR, combined scalability). The output results are both objective and subjective metrics of the video transmission. Interfaces with real networks and an overlay simulation platform are presented. Through these interfaces, the transmission performance of different types of SVC scalability and AVC bit-streams on bottle-neck conditions and overlay network will be evaluated. This evaluation is new because it is conducted on the end-to-end transmission of SVC contents and not on the coding performance. The bottleneck network environment is set up for evaluation because this realistic and very common network condition usually causes serious problems for video transmission and multimedia services. The overlay network is used for evaluation because it is a future transportation environment for multimedia content delivery. The results show that, both in bottle-neck network conditions and on the overlay network environment, SVC transmission outperforms AVC transmission and SNR scalability has the highest transmission performance. Through these end-toend transmission performance evaluations over EvalSVC, we can conclude that, indeed SVC achieves its objectives of improving video transmission over realistic network conditions.

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A Framework for Evaluation of Video Quality of Service in Wireless Networks

Singh

Bishnoi

2017

Advances in Wireless Technologies and Telecommunication

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Today's IEEE 802.11n WLAN are capable of delivering the essential bandwidth for video by using MPEG-4 or H.264 codec compression. However, 802.11n devices are popular for delivering wireless video transmission. Even though there are some challenges for these devices specifically severe network congestion that degrade the quality of video transmission. For assessing the video transmission quality during a simulation on 802.11n WLAN technology, we extended a framework and toolset (802.11nMyEvalVid) which can be used to measures the QoS constraints in wireless networks, such as throughput, delays, and end-to-end delay. However, it also supports PSNR, which is a received video quality measuring technique based on a comparison of frame-by-frame. This chapter focused on a framework 802.11nMyEvalVid that can be used for research and evaluating new techniques for MAC-layer optimizations for simulating MPEG-4, H.264/AVC and H.264/SVC video over 802.11n WLAN in a more efficient and reliable way.

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Packet level video quality evaluation of extensive H.264/AVC and SVC transmission simulation

Cited by 3 publications

References 27 publications

A Framework to Measure and Estimate Video Quality in SVC Real-Time Adaptive Systems

A Framework to Measure and Estimate Video Quality in SVC Real-Time Adaptive Systems

End-to-end transmission of scalable video contents: performance evaluation over EvalSVC—a new open-source evaluation platform

A Framework for Evaluation of Video Quality of Service in Wireless Networks

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