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 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.
Type de document :
Communication dans un congrès
ICIP 2017: IEEE International Conference on Image Processing, Sep 2017, Beijing, China. ICIP 2017: IEEE International Conference on Image Processing, ICIP 2017: IEEE International Conference on Image Processing. 〈http://2017.ieeeicip.org/〉
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01492536
Contributeur : Andrés Almansa <>
Soumis le : lundi 20 mars 2017 - 10:56:17
Dernière modification le : samedi 11 novembre 2017 - 01:12:34
Document(s) archivé(s) le : mercredi 21 juin 2017 - 12:46:01

Fichier

Template.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01492536, version 1

Citation

Thuc Le, Andrés Almansa, Yann Gousseau, Simon Masnou. MOTION-CONSISTENT VIDEO INPAINTING. ICIP 2017: IEEE International Conference on Image Processing, Sep 2017, Beijing, China. ICIP 2017: IEEE International Conference on Image Processing, ICIP 2017: IEEE International Conference on Image Processing. 〈http://2017.ieeeicip.org/〉. 〈hal-01492536〉

Partager

Métriques

Consultations de la notice

614

Téléchargements de fichiers

342