We present a two stage framework for automatic video text removal to detect and remove
embedded video texts and fill-in their remaining regions by appropriate data. In the video …

In this paper, we address the video completion problem for two general cases: 1) filling-in
the missing regions of videos captured by a non-stationary camera, and 2) filling-in the …

We present a bandlet-based framework for video inpainting in order to complete missing
parts of a video sequence. The framework applies spatio-temporal geometric flows extracted …

Video completion is an active subject in video processing, which deals with the recovery of
the damaged data. Reconstruction of damaged parts after object removal of digital video is …

Reconstructing and repairing of corrupted or missing parts after object removal in digital
video is an important trend in artwork restoration. Video inpainting is an active subject in …

Recovering and restoring the missing information after static video object removal is an
active area in video processing. Reconstructions of damaged video parts are the main …

Predicting a given pixel from surrounding neighboring pixels is of great interest for several
image processing tasks. To model images, many researchers use Gaussian distributions …

Predicting a given pixel from surrounding neighbouring pixels is of great interest for several
image processing tasks. Previous works focused on develo** different Gaussian based …

Video completion refers to automatically restoring damaged or removed objects in a video
sequence, with applications ranging from sophisticated video removal of undesired static or …