Accurate correlation modeling for transform-domain Wyner-Ziv video coding

In Wyner-Ziv (WZ) video coding, low-complexity encoding is achieved by generating the prediction signal only at the decoder. An accurate model of the correlation between the original frame and its prediction is necessary for efficient coding. Firstly, we propose an improvement for the pixel-domain correlation estimation. In transform-domain WZ video coding current models estimate the necessary correlation parameters directly in the transform domain. We propose an alternative approach, where an accurate estimation in the pixel domain is followed by a novel method of transforming the pixel-domain estimation into the transform domain. The experimental results show that our model leads to average bit-rate gain of 3.5-8%