Towards a Video QoE Definition in Converged Networks
Mukundan Venkataraman, Shubhashis Sengupta, Mainak Chatterjee, Raja Neogi · 2007
Most resource allocation decisions in converged multi-service networks are presently driven by QoS parameters and service level agreements. Network operators are real-izing that such policy decisions ought to be based on Qual-ity of Experience (QoE), which is a better measure of sub-jective video perception. Video QoE has two components: (a) Zapping and (b) Video Quality or Video Mean Opin-ion Score (MOS). Zapping anomalies are well understood and easily characterized, but there is no consensus on what the definition of a Video-MOS should be. This is largely be-cause there is little understanding of qualitative and quanti-tative subjective degradations caused by networking events like loss, delay, jitter, and error. In this work we conduct extensive experiments on a simulation testbed in a search for a good Video-MOS definition, with specific emphasis on quality degradations due to network transmission. We deploy “collector ” nodes that can gather various statistics of a given flow. We also identify key parameters that such collector nodes must maintain such that an overlay of such nodes can identity impairment points. Lightweight Video-MOS definition evolving out this work can be used in col-lector overlay networks to solve problems like root-cause analysis, capacity-planning and various network optimiza-tion problems. 1