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Motion vector-based film mode detection for frame rate up-conversion

机译:基于运动矢量的电影模式检测,用于帧速率上转换

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This paper proposes a novel film mode detection method to improve the accuracy of frame rate up-conversion (FRUC). The existing methods need to calculate the field differences which are not necessary for FRUC. Furthermore, they prone to miss a non-film mode because they focus on detecting representative film modes, e.g., 3:2/2:2 pull-down. To avoid calculating field differences in film mode detection, the proposed method utilizes motion vectors which are already obtained from the FRUC. Furthermore, to improve the accuracy of detecting a non-film mode, the proposed method defines several features which use the variation of motion vectors for each frame. Then, it compares with the patterns of film modes. The proposed method can detect a non-film mode with 89.15% detection accuracy and increases the accuracy up to 10.93% for film modes compared to benchmark methods.
机译:本文提出了一种新颖的电影模式检测方法,以提高帧频上转换(FRUC)的准确性。现有方法需要计算对于FRUC不必要的场差。此外,由于它们专注于检测代表性的电影模式,例如3:2/2:2下拉,因此它们容易错过非电影模式。为了避免在胶片模式检测中计算场差,提出的方法利用了已经从FRUC获得的运动矢量。此外,为了提高检测非电影模式的准确性,所提出的方法定义了几个特征,这些特征使用每帧的运动矢量的变化。然后,将其与电影模式的模式进行比较。与基准方法相比,所提出的方法可以以89.15%的检测精度检测非胶片模式,并将胶片模式的精度提高到10.93%。

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