Composition and Transmission of Videos Generated by Multiple Users

We present major results from our research on user-generated video streaming for transition-enabled networks, i.e., networks with mechanisms for smooth transitions under changing conditions. We concentrate on the application layer with multiple real-time videos as our source. Algorithms are presented to select the best video source at any given time and to transmit only that video to a set of receivers. A novel video composition component is proposed that receives the input videos and sends only one output video to the viewers. An example for an application would be a concert with an audience where many persons transmit video at the same time, from different perspectives. The transitions in the network are performed in real-time in order to always stream the highest-quality video to the receivers.