Dependency channel modeling for a LDPC-based Wyner-Ziv video compression scheme

Abstract

Research in distributed video coding for low complexity encoding has shown that without knowledge of the correlation between source and side information (i.e. the behavior of the dependency channel), the performance is substantially below that of well known state-of-the-art video coders. In a practical system the decoder needs to estimate the statistics in this dependency channel. In this paper we investigate the relation between the compression ratio and the sensitivity of the estimated channel model parameter at the decoder side. We observe that this is a hard task, but not unrealistic. We show that the tolerable parameter range is very dependent on the compression ratio and the (actual) statistics in the dependency channel.