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Correlation-Based Motion Vector Processing With Adaptive Interpolation Scheme for Motion-Compensated Frame Interpolation

机译:基于相关性的运动矢量处理和自适应插值方案的运动补偿帧插值

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摘要

In this paper, we address the problems of unreliable motion vectors that cause visual artifacts but cannot be detected by high residual energy or bidirectional prediction difference in motion-compensated frame interpolation. A correlation-based motion vector processing method is proposed to detect and correct those unreliable motion vectors by explicitly considering motion vector correlation in the motion vector reliability classification, motion vector correction, and frame interpolation stages. Since our method gradually corrects unreliable motion vectors based on their reliability, we can effectively discover the areas where no motion is reliable to be used, such as occlusions and deformed structures. We also propose an adaptive frame interpolation scheme for the occlusion areas based on the analysis of their surrounding motion distribution. As a result, the interpolated frames using the proposed scheme have clearer structure edges and ghost artifacts are also greatly reduced. Experimental results show that our interpolated results have better visual quality than other methods. In addition, the proposed scheme is robust even for those video sequences that contain multiple and fast motions.
机译:在本文中,我们解决了运动矢量不可靠的问题,这些运动矢量会引起视觉伪像,但无法通过运动补偿帧插值中的高残留能量或双向预测差异来检测。提出了一种基于相关性的运动矢量处理方法,通过在运动矢量可靠性分类,运动矢量校正和帧插值阶段中明确考虑运动矢量相关性,来检测和校正那些不可靠的运动矢量。由于我们的方法基于其可靠性逐步纠正了不可靠的运动矢量,因此我们可以有效地发现无法使用可靠运动的区域,例如遮挡和变形结构。我们还基于对遮挡区域周围运动分布的分析,提出了一种针对遮挡区域的自适应帧插值方案。结果,使用所提出的方案的内插帧具有更清晰的结构边缘,并且也大大减少了重影伪影。实验结果表明,我们的插值结果比其他方法具有更好的视觉质量。另外,即使对于那些包含多个快速运动的视频序列,所提出的方案也是健壮的。

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