Spatio-temporal binary video inpainting via threshold dynamics
Mostra el registre complet Registre parcial de l'ítem
- dc.contributor.author Oliver, Maria
- dc.contributor.author Palomares, Roberto P.
- dc.contributor.author Ballester, Coloma
- dc.contributor.author Haro Ortega, Gloria
- dc.date.accessioned 2018-11-22T08:57:53Z
- dc.date.available 2018-11-22T08:57:53Z
- dc.date.issued 2017
- dc.description Comunicació presentada al congrés IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) celebrat del 5 al 9 de març a Nova Orleans (EUA).
- dc.description.abstract We propose a new variational method for the completion of moving shapes through binary video inpainting that works by smoothly recovering the objects into an inpainting hole. We solve it by a simple dynamic shape analysis algorithm based on threshold dynamics. The model takes into account the optical flow and motion occlusions. The resulting inpainting algorithm diffuses the available information along the space and the visible trajectories of the pixels in time. We show its performance with examples from the Sintel dataset, which contains complex object motion and occlusions.
- dc.format.mimetype application/pdf
- dc.identifier.citation Oliver M, Palomares RP, Ballester C, Haro G. Spatio-temporal binary video inpainting via threshold dynamics. In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); 2017 Mar 5-9; New Orleans, USA. Piscataway: IEEE; 2017. p. 1822-6. DOI: 10.1109/ICASSP.2017.7952471
- dc.identifier.doi http://dx.doi.org/10.1109/ICASSP.2017.7952471
- dc.identifier.issn 2379-190X
- dc.identifier.uri http://hdl.handle.net/10230/35822
- dc.language.iso eng
- dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
- dc.relation.ispartof 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); 2017 Mar 5-9; New Orleans, USA. Piscataway: IEEE; 2017.
- dc.rights © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The final published article can be found at https://ieeexplore.ieee.org/document/7952471
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.subject.keyword Shape completion
- dc.subject.keyword Binary video inpainting
- dc.subject.keyword Threshold dynamics
- dc.title Spatio-temporal binary video inpainting via threshold dynamics
- dc.type info:eu-repo/semantics/conferenceObject
- dc.type.version info:eu-repo/semantics/acceptedVersion