Alternate Structural-Textural Video Inpainting for Spot Defects Correction in Movies
hal.structure.identifier | Real Expression Artificial Life [IRIT-REVA] | |
dc.contributor.author | RENAUDEAU, Arthur | |
hal.structure.identifier | Department of Computer Science [Copenhagen] [DIKU] | |
dc.contributor.author | LAUZE, François | |
hal.structure.identifier | Laboratoire Lorrain de Recherche en Informatique et ses Applications [LORIA] | |
hal.structure.identifier | Augmentation visuelle d'environnements complexes [MAGRIT-POST] | |
dc.contributor.author | PIERRE, Fabien | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | AUJOL, Jean-François | |
hal.structure.identifier | Real Expression Artificial Life [IRIT-REVA] | |
dc.contributor.author | DUROU, Jean-Denis | |
dc.date.accessioned | 2024-04-04T02:57:46Z | |
dc.date.available | 2024-04-04T02:57:46Z | |
dc.date.issued | 2019 | |
dc.date.conference | 2019-06-30 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/192591 | |
dc.description.abstractEn | We propose a new video inpainting model for movies restoration application. Our model combines structural reconstruction with a diffusion-based method and textural reconstruction with a patch-based method. Both proposed energies (one for each method) are alternatively minimized in order to preserve the overall structure while adding textural refinement. While the structural reconstruction is obtained jointly with optical flow computation with several proximal approaches, the textural reconstruction is processed by a variational non-local approach. Preliminary results on different Middlebury frames show quality improvement in the reconstruction. | |
dc.language.iso | en | |
dc.title.en | Alternate Structural-Textural Video Inpainting for Spot Defects Correction in Movies | |
dc.type | Communication dans un congrès | |
dc.subject.hal | Informatique [cs]/Traitement des images | |
bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.conference.title | SSVM 2019 - Seventh International Conference on Scale Space and Variational Methods in Computer Vision | |
bordeaux.country | DE | |
bordeaux.conference.city | Hofgeismar | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-02433997 | |
hal.version | 1 | |
hal.invited | non | |
hal.proceedings | oui | |
hal.conference.end | 2019-07-04 | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-02433997v1 | |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2019&rft.au=RENAUDEAU,%20Arthur&LAUZE,%20Fran%C3%A7ois&PIERRE,%20Fabien&AUJOL,%20Jean-Fran%C3%A7ois&DUROU,%20Jean-Denis&rft.genre=unknown |
Fichier(s) constituant ce document
Fichiers | Taille | Format | Vue |
---|---|---|---|
Il n'y a pas de fichiers associés à ce document. |