Robust and automatic video colorization via multiframe reordering refinement

In this paper, we propose a robust video colorization method automatically through limited color references in a video sequence. The proposed method first estimates motion vectors between a monochrome frame and colored reference frames for initial matching by optical flow. Then it transfers color information to matched points in the monochrome frame and further propagates color information of matched points to other parts of the monochrome frame. Furthermore, we design a multiframe reordering refinement to colorize video sequences robustly. Experimental results demonstrate that the proposed method achieves much better performance in video colorization than state-of-the-art methods.