Efficient Video Cutout by Paint Selection

Video cutout refers to extracting moving objects from videos, which is an important step in many video editing tasks. Recent Mgorithms have limitations in terms of efficiency interaction style and robustness. This paper presents a novel method for progressive video cutout with less user interaction...

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Bibliographic Details
Published in:Journal of computer science and technology 2015-05, Vol.30 (3), p.467-477
Main Author: 张赟 唐延龙 成可立
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Artificial Intelligence
Coherence
Computer Science
Computer simulation
Data Structures and Information Theory
Digital video
Editing
Efficiency
Graph theory
Graphs
Information Systems Applications (incl.Internet)
Mathematical models
Moving object recognition
Optimization
Propagation
R&D
Regular Paper
Research & development
Robustness
Software Engineering
Studies
Tasks
Temporal logic
Theory of Computation
交互方式
优化使用
快速反馈
抠图
时间关系
油漆
用户交互
视频编辑
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Summary:Video cutout refers to extracting moving objects from videos, which is an important step in many video editing tasks. Recent Mgorithms have limitations in terms of efficiency interaction style and robustness. This paper presents a novel method for progressive video cutout with less user interaction and fast feedback. By exploring local and compact features, an optimization is constructed based on a graph model which establishes spatial and temporal relationship of neighboring patches in video frames. This optimization enables an efficient solution for progressive video cutout using graph cuts. Furthermore, a sampling-based method for temporally coherent matting is proposed to further refine video cutout results. Experiments demonstrate that our video cutout by paint selection is more intuitive and efficient for users than previous stroke-based methods, and thus could be put into practical use.
ISSN:1000-9000
1860-4749
DOI:10.1007/s11390-015-1537-y