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Phase-Based Modification Transfer for Video
- 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.
- Subjects :
- Pixel
Computer science
business.industry
Frame (networking)
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Phase (waves)
Optical flow
020207 software engineering
02 engineering and technology
Video processing
Computer Science::Computer Vision and Pattern Recognition
Compositing
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
Subjects
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