Title
Flow Video Synthesis From An Image
Abstract
A new method of image based flow analysis and synthesis from a still image is presented. We analyze the flow parts from a still image in order to get continuous video by image matting, image inpainting, projecting flow field onto the image and modulation. We construct and project 3D flow models onto still images and propose 2D modulation methods that are more suitable and practical to our synthesis. Our technique can edit still images that have flow parts. The experiments show the method is effective.
Year
DOI
Venue
2010
10.1142/S0218001410007981
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Keywords
Field
DocType
Still images, image based flow analysis, video synthesis, image matting and inpainting, 3D flow models
Computer vision,Image warping,Pattern recognition,Feature detection (computer vision),Image texture,Computer science,Flow (psychology),Image processing,Modulation,Inpainting,Artificial intelligence,Image restoration
Journal
Volume
Issue
ISSN
24
3
0218-0014
Citations 
PageRank 
References 
0
0.34
6
Authors
3
Name
Order
Citations
PageRank
Yutao Zhao121.38
Ming Zhang28918.62
Yuncai Liu31234185.16