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Communication Dans Un Congrès Année : 2017

Motion-consistent video inpainting

Résumé

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 par-allelization 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.
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Dates et versions

hal-01492536 , version 1 (20-03-2017)

Identifiants

Citer

Thuc Trinh Le, Andrés Almansa, Yann Gousseau, Simon Masnou. Motion-consistent video inpainting. ICIP 2017: IEEE International Conference on Image Processing, Sep 2017, Beijing, China. ⟨10.1109/ICIP.2017.8296651⟩. ⟨hal-01492536⟩
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