Flow-edge Guided Video Completion
We present a new flow-based video completion algorithm. Previous flow
completion methods are often unable to retain the sharpness of motion
boundaries. Our method first extracts and completes motion edges, and then uses
them to guide piecewise-smooth flow completion with sharp edges. Existing
methods propagate colors among local flow connections between adjacent frames.
However, not all missing regions in a video can be reached in this way because
the motion boundaries form impenetrable barriers. Our method alleviates this
problem by introducing non-local flow connections to temporally distant frames,
enabling propagating video content over motion boundaries. We validate our
approach on the DAVIS dataset. Both visual and quantitative results show that
our method compares favorably against the state-of-the-art algorithms.