A comparative study of compressed sensing video encoding GOP patterns for stereo distributed video coding

In this study, compressed sensing concepts are applied to multi-view video coding. Existing work from single view video is utilized to develop efficient GOP patterns and reference framing for stereo coding. It has been observed that the most typical choice of pattern improved the characteristics 0.4 dB with respect to the model that do not benefit from interview sparsity for all frames. Alternatives for future work are proposed.