A Template-Based Completion Framework for Videos with Dynamic Backgrounds

This paper presents a video completion framework with a novel foreground extraction method based on templates. Video completion is a process of filling in missing regions of a video with appropriate fragments from the input video. In existing video completion techniques, appropriate fragments are effectively detected by separating the video into foreground and background in advance. Any existing foreground/background separation used in the completion methods assumes that the moving objects are foreground. Accordingly, undesirable moving objects are detected as foreground. These moving objects are called "dynamic background". This paper proposes a novel foreground extraction method exploiting templates which are originally used to accelerate video completion itself. Both the efficiency and accuracy of the process are demonstrated over existing methods.