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Phase-Based Modification Transfer for Video

Authors :
Markus Gross
Alexander Sorkine-Hornung
Simone Meyer
Source :
Computer Vision – ECCV 2016 ISBN: 9783319464862, ECCV (3)
Publication Year :
2016
Publisher :
Springer International Publishing, 2016.

Abstract

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.

Details

ISBN :
978-3-319-46486-2
ISBNs :
9783319464862
Database :
OpenAIRE
Journal :
Computer Vision – ECCV 2016 ISBN: 9783319464862, ECCV (3)
Accession number :
edsair.doi...........f62ad0b9e0e07624b33780d8e6f773e4
Full Text :
https://doi.org/10.1007/978-3-319-46487-9_39