Feedback-Free Free Binning Design for Mobile Wyner Wyner-Ziv Ziv Video Coding An Operational Duality between Source Distortion and Channel Capacity
Abstract: Most mobile video applications require the encoder to have low complexity. Wyner-Ziv (WZ) video coding removes complex motion estimation from the encoder, and provides error resilience from the embedded channel coding module. WZ video coding is regarded as a promising encoder for wireless video systems. Most WZ video coding based on chann channel el codes is a practical implementation of the binning schemes. In this work, we present a novel two-tier two binning scheme that consists of the inner and outer structure, for improving raterate distortion performance. First, we develop a Raptor coding with side information i to construct the inner binning structure, which provides a lower rate. Second, for the outer binning, we model the WZ video coding architecture as a multi-access multi channel, so that we can exploit the property of channel capacity. Third, we exploit the duality property of WZ video coding. Based on such a property, both the primal and dual solutions are subsequently provided in this study. For the primal problem of distortion minimization, we develop dynamic programming to find the optimal binning policy, licy, whereas for the dual problem of capacity maximization, we devise a near sum-capacity capacity binning algorithm. The objective is to lower the coding rate with lower complexity. Experimental results showed that when compared with the state-of of-the-art coding, the decoding performance and the quality of our proposed method were respectively enhanced. Besides, we