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A no-reference optical flow-based quality evaluator for stereoscopic videos in curvelet domain
2017
Information Sciences
Most of the existing 3D video quality assessment (3D-VQA/SVQA) methods only consider spatial information by directly using an image quality evaluation method. In addition, a few take the motion information of adjacent frames into consideration. In practice, one may assume that a single data-view is unlikely to be sufficient for effectively learning the video quality. Therefore, integration of multi-view information is both valuable and necessary. In this paper, we propose an effective multiview
doi:10.1016/j.ins.2017.05.051
fatcat:snntqhddbzepjp7ztnvogim5y4