In this paper, we demonstrate a new motion in painting technique to allow users to change the dynamic texture used in a video background for special effect production. For instance, the dynamic texture of fire, smoke, water, cloud, and others can be edited through a series of automatic algorithms. Motion estimations of global and local textures are used. Video blending techniques are used in conjunction with a color balancing technique. The editing procedure will search for suitable patches in irregular shape blocks, to reproduce a realistic dynamic background, such as large waterfall, fire scene, or smoky background. The technique is suitable for making science fiction movies. We demonstrate the original and the falsified videos in our website at http://163.13.127.36/www/AINA12. Although video falsifying may create a moral problem, our intension is to create special effects in movie industry.

Video forgery, also referred as video falsifying, is a technique for generating fake videos by altering, combining, or creating new video contents. For instance, the outcome of a 100 m race in the olympic game is forged as an example in this paper. We track objects and segment motions using a modified mean shift mechanism. The resulting video layers can be played in different speeds and from different reference points with respect to the original video. In order to obtain a smooth movement of target objects, a motion interpolation mechanism is proposed based on reference stick figures (i.e., a structure of human skeleton) and a video inpainting mechanism. The video inpainting mechanism is performed in a quasi-3-D space via guided 3-D patch matching. Interpolated target objects and background layers are then fused. The objective is to create a forged video, which is almost indistinguishable from the original video. We demonstrate the original and the forged videos in our Web site at http://member.mine.tku.edu.tw/www/TSMC09/. Although video forgery may create moral or legal issues, which is beyond the scope of this paper, our intension is to create special effects in video editing applications.

Face image partially occluded or damaged can be repaired automatically. We proposed a new inpainting algorithm, based on patch guidance deduced from an existing face database, to recover the damaged portions. This newly proposed concept of guided inpainting method produces seamless faces which are hardly seen drawbacks. Examples of our results can be retrieved from http://member.mine.tku.edu.tw/www/ISCAS09/.

Special effect production is an important technology for movie industry. Although sophisticated equipments can be used to produce scenery such as fire and smoke, usually, the approach is expensive and perhaps dangerous. Can sceneries be re-produced based on existing videos using digital technology? The answer is yes but it is difficult. In this video demonstration, we propose new mechanisms using motion inpainting technologies. Dynamic texture can be altered and reused under control. In addition, actors with repeated motion can be interpolated or extrapolated and incorporated into the falsified scenery. We demonstrate using our tool to produce realistic video narratives based on existing videos. Five sets of results as well as the source videos used are available at http://member.mine.tku.edu.tw/www/ACMMM09VideoDemo.

We change the behavior of actors in a video. For instance, the outcome of a 100-meter race in the Olympic game can be falsified. We track objects and segment motions using a modified mean shift mechanism. The resulting video layers can be played in different speeds and at different reference points with respect to the original video. In order to obtain a smooth movement of target objects, a motion interpolation mechanism is proposed based on continuous stick figures (i.e., a video of human skeleton) and video inpainting. The video inpainting mechanism is performed in a quasi-3D space via guided 3D patch matching for filling. Interpolated target objects and background layers are fused by using graph cut. It is hard to tell whether a falsified video is the original. We demonstrate the original and the falsified videos in our website at http://www.mine.tku.edu.tw/video_demo/). The proposed technique can be used to create special effects in movie industry.

We create video scenes using existing videos. A panorama is generated from background video, with foreground objects removed by video inpainting technique. A video planning script is provided by the user on the panorama with accurate timing of actors. Actions of these actors are extensions of existing cyclic motions, such as walking, tracked and extrapolated using our motion analysis techniques. Although the types of video story generated are limited, however, it is possible to use the mechanism proposed to generate forgery videos. Interested readers should visit our tool demonstration and forgery videos at http://member.mine.tku.edu.tw/www/ACMMM08-VideoPlanning.

Video Falsifying is a technique for generating fake video by altering, combining, or creating new video contents. For instance, the outcome of a 100-meter race can be changed. Alternatively, the winner of a horse race can be created from combined videos. The technique is for special effect production in movie industry. We demonstrate how to use our video falsifying techniques in special effects production. Interested readers should look at our demonstration website at http://member.mine.tku.edu.tw/www/ACMMM08VideoDemo.