Dynamic Video Texture Inpainting Using Improving LDS

Texture Inpainting Using Efficient Gaussian

Inpainting consists in computing a plausible completion of missing parts of an image 4 given the available content. In the restricted framework of texture images, the image can be seen as a 5 realization of a random field model, which gives a stochastic formulation of image inpainting: on the 6 masked exemplar one estimates a random texture model which can then be conditionally sampled in 7 ord...

Video Subject Inpainting: A Posture-Based Method

Despite recent advances in video inpainting techniques, reconstructing large missing regions of a moving subject while its scale changes remains an elusive goal. In this paper, we have introduced a scale-change invariant method for large missing regions to tackle this problem. Using this framework, first the moving foreground is separated from the background and its scale is equalized. Then, a ...

Video Inpainting

Video Inpainting

This Video inpainting is an important video enhancement technique used to facilitate the repair or editing of digital videos. In this paper, we propose a video inpainting algorithm for repairing damaged content in digitized video films, focusing on maintaining good spatiotemporal continuity. The proposed algorithm utilizes key techniques.

Robust Shot Boundary Detection from Video Using Dynamic Texture

Video boundary detection belongs to a basis subject in computer vision. It is more important to video analysis and video understanding. The existing video boundary detection methods always are effective to certain types of video data. These methods have relatively low generalization ability. We present a novel shot boundary detection algorithm based on video dynamic texture. Firstly, the two ad...