A Cross-Layer Approach with Adaptive Rate Allocation and Quantization for Return Channel Suppression in Wyner-Ziv Video Coding Systems
In this paper, we present a novel technique for the suppression of the return channel in a multisensor distributed Wyner-Ziv video coding system. The proposed technique relies on a cross-layer approach that takes into account the transmission channel conditions on one hand, and the content of the captured video scenes on the other, in order to allocate different transmission rates and dynamically vary the quantization parameter for each user. Simulation results show significant improvement in the average system performance compared to a traditional system where all users are assigned equal channel resources and a fixed number of quantization levels.