Context-Adaptive Modeling for Wavelet-Domain Distributed Video Coding
The authors propose a bit-level context-adaptive correlation model to exploit high-order statistical correlation for wavelet-domain distributed video coding (DVC). The magnitude and sign of each coefficient are coded separately in a bit-plane fashion. The context for magnitude bit plane are designed based on the side information (SI), the local neighborhood, and the parent coefficient. The sign bit plane takes the sign of the SI as the context. The authors also introduce SI binning to classify the SI based on its quality. The SI's class is then included in the contexts for both magnitude coding and sign coding. Experimental results show that the proposed scheme provides significant coding gain over existing DVC systems.