Measuring perceived quality of speech and video in multimedia conferencing applications
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Towards a Video QoE Definition in Converged Networks
ICDT '07 Proceedings of the Second International Conference on Digital Telecommunications
An unequal packet loss resilience scheme for video over the Internet
IEEE Transactions on Multimedia
Modeling packet-loss visibility in MPEG-2 video
IEEE Transactions on Multimedia
An Overlay Architecture for High-Quality VoIP Streams
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
JitterPath: Probing Noise Resilient One-Way Delay Jitter-Based Available Bandwidth Estimation
IEEE Transactions on Multimedia
A study of real-time packet video quality using random neural networks
IEEE Transactions on Circuits and Systems for Video Technology
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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 semi-autonomously 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 plugin 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. We show that our overlay can support a wide variety of quality evaluation metrics. Through extensive simulations and an implementation, we discuss issues of engineering such an overlay, isolating impairments in access networks, instrumenting MOS plugins and predicting video quality of multimedia streams in transit.