Name
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 pair wise 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. |
Year | Venue | Keywords |
|---|---|---|
2017 | 2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | Video inpainting, video restoration, patches, optical flow, video editing |
DocType | ISSN | Citations |
Conference | 1522-4880 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thuc Trinh Le | 1 | 2 | 1.08 |
| Andrés Almansa | 2 | 199 | 23.22 |
| Yann Gousseau | 3 | 617 | 61.10 |
| Simon Masnou | 4 | 124 | 9.26 |