Author : K. Ushasree 1
Date of Publication :7th December 2016
Abstract: Video inpainting is the process of repairing missing regions (holes) in videos. Most automatic techniques are computationally intensive and unable to repair large holes. To tackle these challenges, a computationally-efficient algorithm that separately inpaint foreground objects and background is proposed. Using Dynamic Programming, foreground objects are holistically inpainted with object templates that minimize a sliding-window dissimilarity cost function. Static background are inpainted by adaptive background replacement and image inpainting.In this propose a new video inpainting method which applies to both static or free-moving camera videos. The method can be used for object removal, error concealment, and background reconstruction applications. To limit the computational time, a frame is inpainted by considering a small number of neighboring pictures which are grouped into a group of pictures (GoP). This drastically reduces the algorithm complexity and makes the approach well suited for near real-time video editing applications as well as for loss concealment applications. Experiments with several challenging video sequences show that the proposed method provides visually pleasing results for object removal, error concealment, and background reconstruction context.