Einstein International Journal Organization(EIJO)

ABSTRACT 

In this paper a new video in painting 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 in painted by considering a small number of neighboring pictures which are grouped into a group of pictures (GoP). This is achieved by a region-based computation method which allows us to strengthen the spatial consistency of aligned frames. Then, from the stack of aligned frames, an energy function based on both spatial and temporal coherency terms is globally minimized. Experiments with several challenging video sequences show that the proposed method provides visually pleasing results for object removal, error concealment, and background reconstruction context.

 Keywords: Object, Camera, In Painting, Homography, Video, Pixels.

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