Flow and color inpainting for video completion
Strobel M, Diebold J, Cremers D (2014)
Publication Type: Conference contribution
Publication year: 2014
Journal
Publisher: Springer Verlag
Book Volume: 8753
Pages Range: 293-304
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Münster, DEU
ISBN: 9783319117515
DOI: 10.1007/978-3-319-11752-2_23
Abstract
We propose a framework for temporally consistent video completion. To this end we generalize the exemplar-based inpainting method of Criminisi et al. [7] to video inpainting. Specifically we address two important issues: Firstly, we propose a color and optical flow inpainting to ensure temporal consistency of inpainting even for complex motion of foreground and background. Secondly, rather than requiring the user to hand-label the inpainting region in every single image, we propose a flow-based propagation of user scribbles from the first to subsequent video frames which drastically reduces the user input. Experimental comparisons to state-of-the-art video completion methods demonstrate the benefits of the proposed approach.
Involved external institutions
Germany (DE)How to cite
APA:
Strobel, M., Diebold, J., & Cremers, D. (2014). Flow and color inpainting for video completion. In Joachim Hornegger, Xiaoyi Jiang, Joachim Hornegger, Joachim Hornegger, Reinhard Koch (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 293-304). Münster, DEU: Springer Verlag.
MLA:
Strobel, Michael, Julia Diebold, and Daniel Cremers. "Flow and color inpainting for video completion." Proceedings of the 36th German Conference on Pattern Recognition, GCPR 2014, Münster, DEU Ed. Joachim Hornegger, Xiaoyi Jiang, Joachim Hornegger, Joachim Hornegger, Reinhard Koch, Springer Verlag, 2014. 293-304.
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