We present a novel phase-based method for propagating modifications of one video frame to an entire sequence. Instead of computing accurate pixel correspondences between frames, e.g. extracting sparse features or optical flow, we use the assumption that small motion can be represented as the phase shift of individual pixels. In order to successfully apply this idea to transferring image edits, we propose a correction algorithm, which adapts the phase shift as well as the amplitude of the modified images. As our algorithm avoids expensive global optimization and all computational steps are performed per-pixel, it allows for a simple and efficient implementation. We evaluate the flexibility of the approach by applying it to various types of image modifications, ranging from compositing and colorization to image filters.
CITATION STYLE
Meyer, S., Sorkine-Hornung, A., & Gross, M. (2016). Phase-based modification transfer for video. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9907 LNCS, pp. 633–648). Springer Verlag. https://doi.org/10.1007/978-3-319-46487-9_39
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