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Understanding the impact of inter-lens and temporal stereoscopic video compression

As we move toward more ubiquitous stereoscopic video, particularly with multiple (> 2) lenses, the need to understand the efficiency of compression will become increasingly important. In this paper, we explore the impact of spatial (between lenses) and temporal (over time) compression for stereoscopic video images. In particular, because stereoscopic images are taken at the same time, there is expected to be a high correlation between pixels in the horizontal direction due to the fixed nature of the multiple lenses. We propose a vertically reduced search window in order to take advantage of this correlation. Starting with multiple stereoscopic video sequences shot using a production studio 3D camera, we explore the effectiveness of temporal and inter-lens motion compensation for stereoscopic video. Furthermore, the experiments use exhaustive search to remove the effects of heuristic-based motion-compensation techniques.