Distributed Source Coding of Video with Non-Stationary Side-Information

In distributed video coding, the complexity of the video encoder is reduced at the cost of a more complex video decoder. Using the principles of Slepian and Wolf, video compression is then carried out using channel coding principles, under the assumption that the video decoder can temporally predict side-information that is correlated with the source video frames. In recent work on distributed video coding the application of turbo codes has been studied. Turbo codes perform well in typical (tele-)communications settings. However, in distributed video coding the dependency channel between source and side-information is inherently non-stationary, for instance due to occluded regions in the video frames. In this paper, we study the modeling of the virtual dependency channel, as well as the consequences of incorrect model assumptions on the turbo decoding process. We observe a strong dependency of the performance of the distributed video decoder on the model of the dependency channel