Skip to Main content Skip to Navigation
Theses

Video inpainting techniques : application to object removal and error concealment

Mounira Ebdelli 1
1 Sirocco - Analysis representation, compression and communication of visual data
Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : This thesis presents video inpainting tools to efficiently recover spacetime holes in different kinds of video sequences. Two categories of video inpainting approaches are particularly studied. The first category concerns exemplar-based approach. Several contributions have been proposed for this approach. Neighbor embedding techniques have been proposed for patch sampling using two data dimensionality reduction methods: non-negative matrix factorization (NMF) and locally linear embedding (LLE). The proposed framework have been also adapted to the error concealment application by using a preprocessing step of motion estimation. A multiresolution approach has been considered to reduce the computational time of the method. The experimental evaluations demonstrate the effectiveness of the proposed video inpainting approach in both object removal and error concealment applications. The video inpainting problem has been also solved using a second approach based on the optimization of a well-defined cost function expressing the global consistency of the recovered regions. The camera moving videos has later been takled by using a region-based homography. The neighboring frames in the sequence are aligned based on segmented planar regions. This method has been shown to give better performance compared to classical optimized pixel-based homography.
Document type :
Theses
Complete list of metadatas

Cited literature [124 references]  Display  Hide  Download

https://hal.inria.fr/tel-01093202
Contributor : Olivier Le Meur <>
Submitted on : Wednesday, December 10, 2014 - 12:54:00 PM
Last modification on : Friday, July 10, 2020 - 4:03:03 PM
Long-term archiving on: : Wednesday, March 11, 2015 - 11:00:20 AM

Identifiers

  • HAL Id : tel-01093202, version 1

Citation

Mounira Ebdelli. Video inpainting techniques : application to object removal and error concealment. Image Processing [eess.IV]. Université de Rennes 1, 2014. English. ⟨tel-01093202⟩

Share

Metrics

Record views

551

Files downloads

2255