A Statistical Model for a Mixed Resolution Wyner-ziv Framework

In this paper we present a rate distortion analysis and a statistical model in order to select coding parameters for memoryless coset codes, for a spatial scalability based mixed resolution Wyner-Ziv framework. The mixed resolution framework, used in this work, is based on full resolution coding of the key frames and spatial 2-layer coding of the intermediate non-reference frames where the spatial enhancement layer is Wyner-Ziv coded. The framework enables reduced encoding complexity through reduced spatial-resolution encoding of the non-reference frames. The quantized transform coefficients of the Laplacian residual frame are mapped to cosets and sent to the decoder. A correlation estimation mechanism that guides the parameter choice process is proposed based on extracting edge information and residual error rate in co-located blocks from the low resolution base layer.