Oliver, MariaPalomares, Roberto P.Ballester, ColomaHaro Ortega, Gloria2018-11-222018-11-222017Oliver 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.2017.79524712379-190Xhttp://hdl.handle.net/10230/35822Comunicació presentada al congrés IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) celebrat del 5 al 9 de març a Nova Orleans (EUA).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.application/pdfeng© 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/7952471info:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ICASSP.2017.7952471Shape completionBinary video inpaintingThreshold dynamicsinfo:eu-repo/semantics/openAccess