Depth Trajectory-Aware Stereoscopic Video Retargeting

Abstract

The image/video retargeting (resolution adaptation) problem-adaption of source data (image/video) to different screen resolution-has garnered wide attention due to compelling applications in intelligent adaptive display. Most of the current image/video displaying application achieves the adaption through scaling source uniformly. Compared with traditional image/video retargeting, stereoscopic video retargeting poses new challenges that should preserve shape and depth of salient objects with temporal coherence. In this paper, we propose a depth trajectory-aware stereoscopic video retargeting method by imposing constraints to optimize the coordinates and depths simultaneously. To reduce visual discomfort induced by fast depth motion, our method uses a temporal depth distortion energy to optimize the depth trajectory in temporal direction. As a result, our solution can preserve shape, depth and temporal fidelity of salient objects simultaneously with comfortable visual experience.