Section: New Software and Platforms

Video Inpainting for Loss Concealment

Keywords: Video Inpainting - Motion informations - Loss concealment - BMFI (Bilinear Motion Field Interpolation)

Functional Description

From an input binary mask and a source video, the software performs an examplar-based inpainting. The motion information of the impaired areas is first recovered with a Bilinear Motion Field Interpolation (BMFI). The texture information is then recovered using a spatio-temporal examplar-based inpainting algorithm. The method to recover the texture proceeds in two steps: it first inpaints a low resolution version using an examplar-based method. Details of the inpainted corrupted areas of the input video are then retrieved using a nearest neighbor field (NNF) based super-resolution technique. A NNF is computed between an interpolated version of the concealed LR video and the known part of the received video at native resolution. In the same vein as in single-image super-resolution, the NNF is used to recover the high frequencies of the inpainted areas of the video.

• Participants: Ronan Le Boulch

• Contact: Olivier Le Meur