Towards a Video QoE Definition in Converged Networks

Venkataraman,; Sengupta, Shamik; Neogi,

doi:10.1109/icdt.2007.36

Cited by 9 publications

(5 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Network service providers are already realizing the need to understand the health of their infrastructure in terms of Quality of Experience, which tells them how an end user perceives their service [11]. In this section, we devise a simple video MOS as an example of a plugin that can process the gathered statistics and provide interpretative data to service providers.…”

Section: Video-mosmentioning

confidence: 99%

A Collector Overlay Architecture for Fault Diagnosis in Access Networks

Venkataraman

Sengupta

Chatterjee

et al. 2009

2009 6th IEEE Consumer Communications and Networking Conference

Self Cite

View full text Add to dashboard Cite

To prevent subscriber churn, network service providers of VoD, SDV and IPTV have a pressing need to pro-actively detect, isolate and fix outages within an access network. Network induced degradations prove to be detrimental for streaming applications. This typically leads to a poor quality of experience (QoE) for subscribers. By monitoring key functional points of the access network for traces of degradation, service providers can devise mechanisms to mitigate the problem.In this work we propose a hierarchy of exporters, collectors and ANCON (ANalysis and CONtrol) nodes that can semiautonomously monitor, detect and isolate impairments within an access network. Exporters on the data plane gather and disseminate statistics for individual subnets, which are streamed onto "collector" nodes on an orthogonal plane. Collector nodes aggregate traffic from various exporters, and stream them onto the root of the tree (ANCON). With an even placement of exporters, root cause analysis can now take the granularity of loss rates or delay rates in individual segments or subnets of an access network. As an extension to our architecture, we show that the overlay can support instrumentations of quality evaluation for streaming video. As an example, we use a simple MOS model that is in part an extension of the ITU-T Erlang model to predict the quality of a video stream much before it reaches the end user. Extensive simulations are presented to justify the design choices made in the process.

show abstract

Section: Video-mosmentioning

confidence: 99%

A Collector Overlay Architecture for Fault Diagnosis in Access Networks

Venkataraman

Sengupta

Chatterjee

et al. 2009

2009 6th IEEE Consumer Communications and Networking Conference

Self Cite

View full text Add to dashboard Cite

show abstract

“…Opinion models for speech such as the E-model have been specified and widely used; however， modest consideration has been given to opinion models for video quality estimation. One of these research efforts is shown in [9]， where the authors tried to find a definition of a video-MOS definition by conducting several experiments on a simulation testbed.…”

Section: Related Workmentioning

confidence: 99%

“…Using equation (9) and taking the overhead and the probability of a block error into account， we can estimate the efficiency as:…”

Section: Pmpdu=l一(1-pm)b (9)mentioning

confidence: 99%

Optimal feedback-based adaptive WiMax MAC for improving quality of video

Villapol

Chatterjee

2010

2010 IEEE Latin-American Conference on Communications

Self Cite

View full text Add to dashboard Cite

WiMax based on IEEE 802.16 is an emerging wireless broadband communication technology for metropolitan area networking and is regarded as a strong competitor of cable access technologies. Among other functionalities， WiMax includes a rich set of MAC layer features that allows it to adapt to changing network and channel conditions. A well-known mechanism that has been incorporated in the physical layer of WiMax is the forward error correction (FEC). In this paper， we make use this feature to construct MAC protocol data units (MPDUs) in an adaptive manner based on the feedback about the channel conditions. We consider video as the application and use a well accepted mean opinion score (MOS) model for evaluating the video at the user end. We conduct simulation experiments to verify the performance of our adaptive MAC schemes. Simulation results reveal that the proposed adaptive scheme is able to adapt to the changing channel conditions， so the MOS for the video quality and network efficiency improve when the scheme is implemented no matter what the status of the channel IS.lndex Terms-forward error correction (FEC)， mean opinion score (MO剖， optimal MPDU size， video， quality of experience (QoE)

show abstract

“…The objective evaluation method is mainly to compare the uncompressed original video data with the compressed video data to obtain an evaluation index and then use the calculated index value to evaluate the video image quality. At present, the objective evaluation usually adopts two methods of PSNR (Peak Signal Noise Ratio) and PCA (Principal Component Analysis) [15,16]. The PSNR method mainly evaluates the distortion quality of video images, and the PCA mainly evaluates the quality of single-frame images.…”

Section: Related Workmentioning

confidence: 99%

Research on the Load Distribution Strategy to Meet the QoE Requirements for Conversational Real-Time HD Video Service

et al. 2020

View full text Add to dashboard Cite

A reliable transmission with QoE (Quality of Experience) guarantee is crucial for internet conversational service applications. However, due to the limited network bandwidth bottleneck effect and the drawback of transmission technology, there exists no mature and open QoE technical solution for this service. In this paper, we focused our attention on a load distribution strategy for multipath relay transmission to meet the QoE requirements of conversational real-time HD video services. It consisted of three stages: First, a series of relay nodes was deployed in the backbone network, and a software defined overlay network was constructed to perform the multipath relay transmission for the service. Second, by an analysis of the QoE feature, a bijection was built for each quantitative QoE and its MOS (Mean Opinion Score) score. Finally, considering the influence of the coupling relation between paths on the service quality in multipath relay transmission, fuzzy cooperative game theory was used to design the service load distribution strategy. Many experiments showed that compared with state-of-the-art methods in the single-path transmission scene, the strategy we designed can dynamically adjust the load distribution of each sub-path according to the change in QoS (Quality of Service) information of the transmission path in real time. While meeting the strict real-time constraints of the service, it can effectively avoid the impact of network random congestion on the service QoE.

show abstract

Towards a Video QoE Definition in Converged Networks

Cited by 9 publications

References 6 publications

A Collector Overlay Architecture for Fault Diagnosis in Access Networks

A Collector Overlay Architecture for Fault Diagnosis in Access Networks

Optimal feedback-based adaptive WiMax MAC for improving quality of video

Research on the Load Distribution Strategy to Meet the QoE Requirements for Conversational Real-Time HD Video Service

Contact Info

Product

Resources

About