LR-PET Optimization Strategy for Protection of Scalable Video with Unreliable Acknowledgement

The priority encoding transmission (PET) framework may be leveraged to exploit both unequal error protection and limited retransmission, for RD optimized delivery of streaming media. The resulting paradigm, known as LR-PET, has been shown to offer significant advantages over a variety of other approaches. This paper extends the existing LR-PET framework to allow for unreliable acknowledgement, providing both an efficient policy for retransmission, as well as an efficient optimization algorithm. The extension is non-obvious, yet retains the complexity benefits of LR-PET. Experimental results confirm that the extended LR-PET procedure also retains the protection benefits of LR-PET with the expected dependence on the acknowledgement probability.