Error-Resilient Unequal Protection of Fine Granularity Scalable Video Bitstreams

This paper deals with the optimal packet loss protection issue for streaming the fine granularity scalable (FGS) video bitstreams over IP networks. Unlike many other existing protection schemes, we develop an error-resilient unequal protection (ER-UEP) method that adds redundant information optimally for loss protection and, at the same time, cancels completely the dependency among bitstream after loss recovery. In our ER-UEP method, the FGS enhancement-layer bitstream is first packetized into a group of independent data packets, while each packet can be truncated to represent the original video signal at any fidelity (i.e., scalability). Parity packets are then created with intrinsic UEP capabilities that can easily adapt to the current channel conditions. Unlike conventional UEP schemes that suffer from bitstream contamination due to the dependency among packets, our method guarantees the successful decoding of all received bits, thus leading to a better error resilience as well as higher robustness (under rying and/or unclean channel conditions).