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 trans- mission strategies. The paper present an MD coding and packet classification strategy that improves a traditional Mul- tiple 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 protec- tion 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.