Video Quality of Experience through Emulated Mobile Channels

Abstract: Over the past few years, Internet traffic took a ramp increase. Of which, most of the traffic is video traffic. With the latest Cisco forecast it is estimated that, by 2017 online video will be highly adopted service with large customer base. As the networks are being increasingly ubiquitous, applications are turning equally intelligent. A typical video communication chain involves transmission of encoded raw video frames with subsequent decoding at the receiver side. One such intelligent codec that is gaining large research attention is H.264/SVC, which can adapt dynamically to the end device configurations and network conditions. With such a bandwidth hungry, video communications running over lossy mobile networks, its extremely important to quantify the end user acceptability. This work primarily investigates the problems at player user interface level compared to the physical layer disturbances. We have chosen Inter frame time at the Application layer level to quantify the user experience (player UI) for varying lower layer metrics like noise and link power with nice demonstrator telling cases. The results show that extreme noise and low link level settings have adverse effect on user experience in temporal dimension. The video are effected with frequent jumps and freezes.