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Alternate Structural-Textural Video Inpainting for Spot Defects Correction in Movies. / Renaudeau, Arthur; Lauze, François; Pierre, Fabien; Aujol, Jean François; Durou, Jean Denis.
Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Proceedings. ed. / Jan Lellmann; Jan Modersitzki; Martin Burger. Springer, 2019. p. 104-116 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11603 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Renaudeau, A
, Lauze, F, Pierre, F, Aujol, JF & Durou, JD 2019,
Alternate Structural-Textural Video Inpainting for Spot Defects Correction in Movies. in J Lellmann, J Modersitzki & M Burger (eds),
Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Proceedings. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11603 LNCS, pp. 104-116, 7th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019, Hofgeismar, Germany,
30/06/2019.
https://doi.org/10.1007/978-3-030-22368-7_9APA
Renaudeau, A.
, Lauze, F., Pierre, F., Aujol, J. F., & Durou, J. D. (2019).
Alternate Structural-Textural Video Inpainting for Spot Defects Correction in Movies. In J. Lellmann, J. Modersitzki, & M. Burger (Eds.),
Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Proceedings (pp. 104-116). Springer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11603 LNCS
https://doi.org/10.1007/978-3-030-22368-7_9Vancouver
Renaudeau A
, Lauze F, Pierre F, Aujol JF, Durou JD.
Alternate Structural-Textural Video Inpainting for Spot Defects Correction in Movies. In Lellmann J, Modersitzki J, Burger M, editors, Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Proceedings. Springer. 2019. p. 104-116. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11603 LNCS).
https://doi.org/10.1007/978-3-030-22368-7_9Author
Renaudeau, Arthur ; Lauze, François ; Pierre, Fabien ; Aujol, Jean François ; Durou, Jean Denis. / Alternate Structural-Textural Video Inpainting for Spot Defects Correction in Movies. Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Proceedings. editor / Jan Lellmann ; Jan Modersitzki ; Martin Burger. Springer, 2019. pp. 104-116 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11603 LNCS).
Bibtex
@inproceedings{bb9f2ab9cd994ddeb526d9fc8601e2c5,
title = "Alternate Structural-Textural Video Inpainting for Spot Defects Correction in Movies",
abstract = "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.",
author = "Arthur Renaudeau and Fran{\c c}ois Lauze and Fabien Pierre and Aujol, {Jean Fran{\c c}ois} and Durou, {Jean Denis}",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 7th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019 ; Conference date: 30-06-2019 Through 04-07-2019",
year = "2019",
doi = "10.1007/978-3-030-22368-7_9",
language = "English",
isbn = "9783030223670",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "104--116",
editor = "Jan Lellmann and Jan Modersitzki and Martin Burger",
booktitle = "Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Proceedings",
address = "Switzerland",
}
RIS
TY - GEN
T1 - Alternate Structural-Textural Video Inpainting for Spot Defects Correction in Movies
AU - Renaudeau, Arthur
AU - Lauze, François
AU - Pierre, Fabien
AU - Aujol, Jean François
AU - Durou, Jean Denis
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85068464312&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-22368-7_9
DO - 10.1007/978-3-030-22368-7_9
M3 - Article in proceedings
AN - SCOPUS:85068464312
SN - 9783030223670
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 104
EP - 116
BT - Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Proceedings
A2 - Lellmann, Jan
A2 - Modersitzki, Jan
A2 - Burger, Martin
PB - Springer
T2 - 7th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019
Y2 - 30 June 2019 through 4 July 2019
ER -
