dc.contributor.author
Oliver, Maria
dc.contributor.author
Palomares, Roberto P.
dc.contributor.author
Ballester, Coloma
dc.contributor.author
Haro Ortega, Gloria
dc.date.issued
2018-11-22T08:57:53Z
dc.date.issued
2018-11-22T08:57:53Z
dc.identifier
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
http://hdl.handle.net/10230/35822
dc.identifier
http://dx.doi.org/10.1109/ICASSP.2017.7952471
dc.description.abstract
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
application/pdf
dc.format
application/pdf
dc.publisher
Institute of Electrical and Electronics Engineers (IEEE)
dc.relation
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
info:eu-repo/semantics/openAccess
dc.subject
Shape completion
dc.subject
Binary video inpainting
dc.subject
Threshold dynamics
dc.title
Spatio-temporal binary video inpainting via threshold dynamics
dc.type
info:eu-repo/semantics/conferenceObject
dc.type
info:eu-repo/semantics/acceptedVersion
