Symmetric Distributed Coding of Stereo Video Sequences

Abstract

In this paper we present a novel video coding scheme to compress stereo video sequences. We consider a wireless sensor network scenario, where the sensing nodes cannot communicate with each other and are characterized by limited computational complexity. The joint decoder exploits both the temporal and inter-view correlation to generate the side information. To this end, we propose a fusion algorithm that adaptively selects either the temporal or the inter-view side information on a pixel-by-pixel basis. In addition, the coding algorithm is symmetric with respect to the two cameras. We also propose a practical stopping criterion for turbo decoding that determines when decoding is successful. Experimental results on stereo video sequences show that a coding efficiency gain up to 4dB can be obtained by the proposed scheme at high bit-rates.

Stereo Image Transmission over Fading Channels with Multiterminal Source Coding

“…In [13], a fusion algorithm was proposed that adaptively exploits either temporal or inter-view correlation based on a pixel-to-pixel basis. In [14], [15], a method of combining temporal and homography inter-view side information was proposed for a particular setup with three cameras where only the central camera exploits low-complexity WZ video coding whereas the two side cameras use conventional intra-frame video coding.…”

Mixed resolution framework for distributed multiview coding

“…The decoder uses the key frames, and possibly motion estimation (and interview analysis for the DMC case), to create an estimate of the WZ frames (the so-called side information). DMC techniques [6][7][8][9] transfer to the decoder the tasks of interview disparity estimation, view rectification and interpolation, occlusion handling, and others. In order to increase or decrease decoder complexity, these techniques can only vary the proportion between key and WZ frames, i.e., temporal scalability.…”

Symmetric distributed multiview video coding

“…al [6] and Taglisacchi et. al [7] use source splitting and asymmetric Slepian-Wolf codes to realize symmetric distributed multiview video coding. However, source splitting might incur performance loss.…”