Distributed Video Coding Based on Multiple-source Correlation Model

Distributed Video Coding (DVC) is a new video coding paradigm which has the ability to shift coding complexity from encoder to decoder. State-of-art DVC schemes are mainly based on two-source correlation model and only one correlation channel between side information and wyner-ziv frame is considered. In this paper, multiple-source correlation model is introduced into a famous DVC scheme, namely Transform Domain Wyner-Ziv video coder (TDWZ). A soft-input computing algorithm based on multiple-source correlation model is firstly proposed. The correlations a mong multiple side information are separately exploited. Then a new reconstruction function based on multiple source correlation model is also proposed to improve reconstructed image's quality. Experimental results show that the proposed algorithms can effectively improve the coding performance of systems.