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Video frame rate up conversion under inconsistent camera

机译:摄像机不一致时的视频帧率上转换

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摘要

In this paper, we address the problem of video frame rate up conversion (FRC) in compressed domain. FRC is often recognized as video temporal interpolation. The problem is very challenging when targeted for a video sequence with an inconsistent camera and object motion. A novel compressed domain motion compensation scheme is presented and applied in this paper. The proposed algorithm uses MPEG-2 compressed motion vectors to undergo a cumulative spatiotemporal interpolation over a temporal sliding window of frames. An iterative rejection scheme based on the affine motion model is exploited to detect the global camera motion. Subsequently, the foreground object separation is performed by examining the temporal consistency of the output of iterative rejections. This consistency check process helps to conglomerate the resulting foreground macroblocks and weeds out the unqualified blocks, thus further refines the crude segmentation results. Finally, different strategies for compensating the camera motion and the object motion are applied to interpolate the new frames. Illustrative examples are provided to demonstrate the efficacy of the proposed approach. Experimental results are compared with the popular block based frame interpolation approach.
机译:在本文中,我们解决了压缩域中的视频帧速率上转换(FRC)问题。 FRC通常被认为是视频时间插值。当针对摄像机和物体运动不一致的视频序列时,该问题非常具有挑战性。提出并应用了一种新颖的压缩域运动补偿方案。所提出的算法使用MPEG-2压缩运动矢量在帧的时间滑动窗口上进行累积时空插值。利用基于仿射运动模型的迭代拒绝方案来检测全局摄像机运动。随后,通过检查迭代拒绝的输出的时间一致性来执行前景对象分离。此一致性检查过程有助于将生成的前景宏块合并在一起,并剔除不合格的块,从而进一步细化粗分割结果。最后,用于补偿摄像机运动和物体运动的不同策略被应用于对新帧进行插值。提供了说明性示例以证明所提出方法的有效性。实验结果与流行的基于块的帧插值方法进行了比较。

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