Resilient multicast conversational video

We propose a feedback-based protocol for resilient multicast videoconferencing in error-prone networks. Unlike previous approaches, our scheme not only improves video quality at error-prone receivers, but it also maximizes the overall video quality of the session and achieves efficient usage of the available bandwidth. This protocol uses a decentralized repair request algorithm with (i) a new multicast suppression technique that protects critical correction requests and eliminates duplicated or overlapped control packets, and (ii) a new error resilience scheme based on multicast repair packets that convey predictive correction information to the video session. We present experimental videoconferencing results that demonstrate the effectiveness of the protocol in ad hoc WLANs