Provided is a method and apparatus for converting a video frame rate that interpolates frames at high quality and high speed while coping with various color image formats based on deep learning. An apparatus for converting a video frame rate according to an embodiment of the present invention includes an adjustment unit that adjusts a resolution for an image of each channel; A generation unit that generates an intermediate image from two consecutive images of t seconds and t+1 seconds whose resolution is adjusted by the adjusting unit; And an enhancement unit for improving the resolution of the intermediate image generated by the generation unit. As a result, in the deep learning-based video frame rate conversion, the input of deep learning can be applied to various color formats such as YCbCr as well as the RGB color format. Frame rate conversion becomes possible.
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