Spatio-temporal binary video inpainting via threshold dynamics

Simple item page
dc.contributor.authorOliver, Maria
dc.contributor.authorPalomares, Roberto P.
dc.contributor.authorBallester, Coloma
dc.contributor.authorHaro Ortega, Gloria
dc.date.accessioned2018-11-22T08:57:53Z
dc.date.available2018-11-22T08:57:53Z
dc.date.issued2017
dc.descriptionComunicació 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.abstractWe 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.mimetypeapplication/pdf
dc.identifier.citationOliver 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.doihttp://dx.doi.org/10.1109/ICASSP.2017.7952471
dc.identifier.issn2379-190X
dc.identifier.urihttp://hdl.handle.net/10230/35822
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof2017 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.accessRightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordShape completion
dc.subject.keywordBinary video inpainting
dc.subject.keywordThreshold dynamics
dc.titleSpatio-temporal binary video inpainting via threshold dynamics
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/acceptedVersion

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
oliver_icassp17_spatio.pdf
Size:
2.57 MB
Format:
Adobe Portable Document Format
Download

Collections