Name
Abstract | ||
|---|---|---|
Video texture is an appealing method to extract and replay natural human motion from video shots. There have been much research on video texture analysis, generation and interactive control. However, the video sprites created by existing methods are typically restricted to constant depths, so that the motion diversity is strongly limited. In this paper, we propose a novel depth-varying human video sprite synthesis method, which significantly increases the degrees of freedom of human video sprite. A novel image distance function encoding scale variation is proposed, which can effectively measure the human snapshots with different depths/scales and poses, so that aligning similar poses with different depths is possible. The transitions among non-consecutive frames are modeled as a 2D transformation matrix, which can effectively avoid drifting without leveraging markers or user intervention. The synthesized depth-varying human video sprites can be seamlessly inserted into new scenes for realistic video composition. A variety of challenging examples demonstrate the effectiveness of our method. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-29050-3_4 | T. Edutainment |
Keywords | Field | DocType |
human video sprite synthesis,replay natural human motion,realistic video composition,synthesized depth-varying human video,different depth,video texture analysis,video texture,video shot,human video sprite,human snapshot | Computer vision,Block-matching algorithm,Video post-processing,Computer graphics (images),Sprite (lightning),Motion compensation,Human video,Multiview Video Coding,Video tracking,Artificial intelligence,Geography,Video compression picture types | Journal |
Volume | Issue | Citations |
7 | null | 0 |
PageRank | References | Authors |
0.34 | 16 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| wei hua | 1 | 255 | 19.27 |
| Wenzhuo Yang | 2 | 14 | 3.02 |
| Zilong Dong | 3 | 114 | 7.40 |
| Guofeng Zhang | 4 | 561 | 41.50 |