Wyner-Ziv video coding using progressive encoding and decoding

In distributed single-view video coding (DSVC) or distributed multiview video coding (DMVC), the compression performance is greatly affected by the quality of side information (SI). Most existing DSVC or DMVC schemes generate SI by employing motion estimation (ME) at the decoder. Since the original frame is unavailable, the ME accuracy is low. In this paper we propose a novel distributed coding scheme for both single-view video and multi-view video. At the encoder, each Wyner-Ziv frame (WF) is sub-sampled using a block-based sub-sampling algorithm, and resulting sub-samples are successively encoded and transmitted. For the latter samples, adaptive intra prediction is employed with no intra mode bits transmitted. At the decoder, the current WF is progressively decoded, and thus the ME accuracy is iteratively improved. Experimental results demonstrate that the proposed DSVC and DMVC framework has achieved significant rate distortion (RD) gain.