E-GrabCut： an economic method of iterative video object extraction

Efficient, interactive foreground/background segmentation in video is of great practical importance in video editing. This paper proposes an interactive and unsupervised video object segmentation algorithm named E-GrabCut concentrating on achieving both of the segmentation quality and time efficienc...

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Vydáno v:Frontiers of Computer Science Ročník 11; číslo 4; s. 649 - 660
Hlavní autoři: DONG, Le, FENG, Ning, MAO, Mengdie, HE, Ling, WANG, Jingjing
Médium: Journal Article
Jazyk:angličtina
Vydáno: Beijing Higher Education Press 01.08.2017
Springer Nature B.V
Témata:
Algorithms
Clustering
Computer Science
Efficiency
GMM
GrabCut
interactive video object extraction
Iterative methods
Methods
Probabilistic models
Research Article
Segmentation
video segmentation
分割技术
提取
时间效率
经济法
视频分割算法
视频对象分割算法
非迭代
高斯混合模型
GrabCut
video segmentation
interactive video object extraction
GMM
ISSN:2095-2228, 2095-2236
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Popis
Shrnutí:Efficient, interactive foreground/background segmentation in video is of great practical importance in video editing. This paper proposes an interactive and unsupervised video object segmentation algorithm named E-GrabCut concentrating on achieving both of the segmentation quality and time efficiency as highly demanded in the related filed. There are three features in the proposed algorithms. Firstly, we have developed a powerful, non-iterative version of the optimization process for each frame. Secondly, more user interaction in the first frame is used to improve the Gaussian Mixture Model (GMM). Thirdly, a robust algorithm for the following frame segmentation has been developed by reusing the previous GMM. Extensive experiments demonstrate that our method outperforms the state-of-the-art video segmentation algorithm in terms of integration of time efficiency and segmentation quality.
Bibliografie:11-5731/TP
interactive video object extraction, video seg-mentation, GrabCut, GMM
Efficient, interactive foreground/background seg- mentation in video is of great practical importance in video editing. This paper proposes an interactive and unsupervised video object segmentation algorithm named E-GrabCut con- centrating on achieving both of the segmentation quality and time efficiency as highly demanded in the related filed. There are three features in the proposed algorithms. Firstly, we have developed a powerful, non-iterative version of the optimiza- tion process for each frame. Secondly, more user interaction in the first frame is used to improve the Gaussian Mixture Model （GMM）. Thirdly, a robust algorithm for the follow- ing frame segmentation has been developed by reusing the previous GMM. Extensive experiments demonstrate that our method outperforms the state-of-the-art video segmentation algorithm in terms of integration of time efficiency and seg- mentation quality.
GrabCut
Document received on :2015-12-26
Document accepted on :2016-06-17
video segmentation
interactive video object extraction
GMM
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2095-2228
2095-2236
DOI:10.1007/s11704-016-5558-7