Context-Aware Adaptive Video Streaming for Mobile Users

HTTP adaptive streaming (HAS) is the dominating type of video traffic in fixed and mobile networks. Although more and more mobile users stream videos over their cellular data connections, buffering is still a common problem due to fluctuating radio signal strength. We will demonstrate a new generation of context-aware HAS algorithms, which adapt video bit-rate based on location and radio information to the current coverage situation. Our demo will show an impressive reduction of buffering time compared to a conventional HAS algorithm. This outstanding quality gain can be directly observed by comparing the video streams on two Smartphones in diverse coverage scenarios such as buildings and elevators.