P2P scalable video streaming using data priority and FEC-based noncooperative multiple description

Recent years have assisted the proliferation of peer-to-peer (P2P) communications in streaming audio/visual contents over widely-distributed networks. This widespreading has also fostered the need for efficient video coding and transmission strategies. The paper present an MD coding and packet classification strategy that improves a traditional Multiple Description scheme basde on a scalable video coder and FEC codes via effective Unequal Error Protection and QoS classification. The proposed strategy uses a low-complexity packet prioritization strategy based on dependencies between video coding units to estimate the distortion associated to their loss. These data will be then used to tune the protection level of video packets and optimize the classification via Game Theory based approach. The paper compares the performance of the different configurations of the proposed approach with some state-of-the-art solutions (like srTCM) showing a quality improvement up to 6 dB.