@inproceedings{cfd47900bf064d4d87198ef27284d308,
title = "Motion-consistent video inpainting",
abstract = "We propose a fast and automatic inpainting technique for high-definition videos which works under many challenging conditions such as a moving camera, a dynamic background or a long lasting occlusion. Built upon the previous work by Newson et al. [1] which optimizes a global patch-based function, our method makes a significant improvement, especially in motion preservation, by incorporating the optical flow in several stages of the algorithm. Moreover, code parallelization and a modification in the process of patches pairwise matching yield a significant reduction of computation time. Experimental results on both classical and challenging datasets show that our algorithm outperforms other state-of-the-art approaches.",
keywords = "Optical flow, Patches, Video editing, Video inpainting, Video restoration",
author = "Le, \{Thuc Trinh\} and Andres Almansa and Yann Gousseau and Simon Masnou",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 24th IEEE International Conference on Image Processing, ICIP 2017 ; Conference date: 17-09-2017 Through 20-09-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ICIP.2017.8296651",
language = "English",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "2094--2098",
booktitle = "2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings",
}