Recent advances in computer vision technologies have made possible the development of
intelligent monitoring systems for video surveillance and ambient-assisted living. By using …

In this digital day and age, we are becoming increasingly dependent on multimedia content,
especially digital images and videos, to provide a reliable proof of occurrence of events …

High-quality video inpainting that completes missing regions in video frames is a promising
yet challenging task. State-of-the-art approaches adopt attention models to complete a frame …

Video inpainting, which aims at filling in missing regions in a video, remains challenging due
to the difficulty of preserving the precise spatial and temporal coherence of video contents. In …

Video inpainting aims to fill spatio-temporal holes with plausible content in a video. Despite
tremendous progress of deep neural networks for image inpainting, it is challenging to …

As a promising way for analyzing data, sparse modeling has achieved great success
throughout science and engineering. It is well known that the sparsity/low-rank of a …

Higher-order low-rank tensors naturally arise in many applications including hyperspectral
data recovery, video inpainting, seismic data recon-struction, and so on. We propose a new …

We propose an automatic video inpainting algorithm which relies on the optimization of a
global, patch-based functional. Our algorithm is able to deal with a variety of challenging …

Current 3-D video (3DV) technology is based on stereo systems. These systems use stereo
video coding for pictures delivered by two input cameras. Typically, such stereo systems …

Video inpainting remains a challenging problem to fill with plausible and coherent content in
unknown areas in video frames despite the prevalence of data-driven methods. Although …