This paper presents a novel algorithm for synthesizing animations of running water,such as water-falls and rivers,in the style of Chinese paintings,for applications such as cartoon making. All video frames are first registered in a common coordinate system,simultaneously segmenting the water from background and computing optical flow of the water. Taking artists’ advice into account,we produce a painting structure to guide painting of brush strokes. Flow lines are placed in the water following an analysis of variance of optical flow,to cause strokes to be drawn where the water is flowing smoothly,rather than in turbulent areas: this allows a few moving strokes to depict the trends of the water flows. A variety of brush strokes is then drawn using a template determined from real Chinese paintings. The novel contributions of this paper are:a method for painting structure generation for flows in videos,and a method for stroke placement,with the necessary temporal coherence.
ZHANG SongHaiCHEN TaoZHANG YiFeiHU ShiMinMARTIN Ralph
Video structure analysis is a basic requirement for most content-based video editing and process- ing systems. This paper presents a fast video structure analysis method based on image segmentation in each frame, with region matching between frames. The structure analysis decomposes the video into sev- eral moving objects, including information about their colors, positions, shapes, movements, and lifetimes. The method also supports user interactions to improve the results. The result shows that this method is fast and stable and can complete video analyzing interactively.
