Finding the correlation among Quality of Experience (QoE) for video, measured Quality
of Service (QoS) parameters in the network, and objective video performance metrics
is a challenging task. This paper provides some analysis results on this issue. Our
motivation is that streaming media content gets dominant position in the global traffic
mix within the next few years. This is mostly due to the headway of broadband connections,
and the growing significance of mobile broadband. With the evolution of personal devices,
demand for High Definition (HD) resolution contents is dynamically increasing. Traversing
real-time media across public packet-switched networks is a complex task, especially
if quality of service should be sustained. The issue gets more complicated when the
traffic is forwarded through heterogeneous infrastructures. Media content with various
resolutions and bitrates show different sensitivity to transmission anomalies. Our
paper investigates the correlation between subjective quality assessment (i.e., Mean
Opinion Score, MOS evaluation), measured QoS parameters (packet loss, jitter) and
objective video performance metrics (Video Quality Metric - VQM, Structural Similarity
- SSIM, Peak Signal Noise Ration - PSNR) in the context of real-time HD video streaming
(i.e., IPTV and MobileTV). In twelve scenarios, packet-level perturbations were emulated
in our laboratory testbed during the transmission of short video sequences with three
different resolutions (480p, 720p and 1080p). Later the videos were evaluated using
subjective and objective assessment methods.