An architecture for federated video processing and online streaming

Abstract

Today access to video is available via numerous multimedia enabled devices through a wide variety of network types. What is required is a mechanism to ensure that users can receive different qualities of video proportional to their device capabilities and network conditions. In this thesis, we propose an online adaptive video streaming approach which uses the Peer-to-Peer (P2P) paradigm to not only distribute the content using peers' bandwidth, but also adapt the video using peers' processing power, while taking into account receiver heterogeneity, watermarking, and perceptual encryption.