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View synthesis method for 3D video coding based on temporal and inter view correlation

机译:基于时间和视图间相关性的3D视频编码视图合成方法

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Recently, in three-dimensional (3D) television, the temporal correlation between consecutive frames of the intermediate view is used together with the inter-view correlation to improve the quality of the synthesised view. However, most temporal methods are based on the motion vector fields (MVFs) calculated by the optical flow or block-based motion estimation which has very high computational complexity. To alleviate this issue, the authors propose a temporal-disparity-based view synthesis (TDVS) method, which uses the MVFs extracted from the bitstreams of side views and motion warping technique to create the temporal correlation between views in the intermediate position. Then a motion compensation technique is used to create a temporal-based view. Finally, the temporal-based view is fused with a disparity-based view which is generated by a traditional depth image-based rendering technique to create the final synthesised view. The fusion of these views is performed based on the side information which is determined and encoded at the sender-side of the 3D video system using a dynamic programming algorithm and rate-distortion optimisation scheme. Experimental results show that the proposed method can achieve the synthesised view with appreciable improvements in comparison with the view synthesis reference software 1D fast (VSRS-1D Fast) for several test sequences.
机译:近来,在三维(3D)电视中,中间视图的连续帧之间的时间相关性与视图间相关性一起使用,以提高合成视图的质量。然而,大多数时间方法基于由光流或基于块的运动估计所计算出的运动矢量场(MVF),其具有非常高的计算复杂性。为了缓解这个问题,作者提出了一种基于时间视差的视图合成(TDVS)方法,该方法使用从侧视图的位流中提取的MVF和运动变形技术在中间位置创建视图之间的时间相关性。然后,使用运动补偿技术来创建基于时间的视图。最后,将基于时间的视图与基于视差的视图融合,该视差通过传统的基于深度图像的渲染技术生成,以创建最终的合成视图。这些视图的融合是基于边信息来执行的,该边信息是使用3D视频系统的发送方使用动态编程算法和速率失真优化方案确定并编码的。实验结果表明,与几种测试序列的视图合成参考软件1D fast(VSRS-1D Fast)相比,该方法可以实现合成视图的明显改进。

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