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Spatio-temporal binary video inpainting via threshold dynamics

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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.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.issn 2379-190X
dc.identifier.uri http://hdl.handle.net/10230/35822
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.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.title Spatio-temporal binary video inpainting via threshold dynamics
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.1109/ICASSP.2017.7952471
dc.subject.keyword Shape completion
dc.subject.keyword Binary video inpainting
dc.subject.keyword Threshold dynamics
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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