Interactive visual object extraction based on belief propagation

Shiming Xiang; Feiping Nie; Changshui Zhang; Chunxia Zhang

doi:10.1007/978-3-540-69423-6_3

Interactive visual object extraction based on belief propagation

Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang

计算机学院

Tsinghua University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

Interactive foreground/background segmentation in a static image is a hot topic in image processing. Classical frameworks focus on providing one class label for the user to specify the foreground. This may be not enough in image editing. In this paper, we develop an interactive framework which can allow the user to label multiply foreground objects of interest. Our framework is constructed on belief propagation. The messages about the foreground objects and background are propagated between pixel grids. Finally, each pixel is assigned a class label after finishing the message propagation. Experimental results illustrate the validity of our method. In addition, some applications in color transfer, image completion and motion detection are given in this paper.

源语言	英语
主期刊名	Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings
页	24-33
页数	10
版本	PART 1
DOI	https://doi.org/10.1007/978-3-540-69423-6_3
出版状态	已出版 - 2007
活动	13th International Multimedia Modeling Conference, MMM 2007 - Singapore, 新加坡期限: 9 1月 2007 → 12 1月 2007

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编号	PART 1
卷	4351 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	13th International Multimedia Modeling Conference, MMM 2007
国家/地区	新加坡
市	Singapore
时期	9/01/07 → 12/01/07

访问文件

10.1007/978-3-540-69423-6_3

其它文件与链接

链接到 Scopus 的出版物

引用此

Xiang, S., Nie, F., Zhang, C., & Zhang, C. (2007). Interactive visual object extraction based on belief propagation. 在 Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings (PART 1 编辑, 页码 24-33). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 4351 LNCS, 号码 PART 1). https://doi.org/10.1007/978-3-540-69423-6_3

Xiang, Shiming ; Nie, Feiping ; Zhang, Changshui 等. / Interactive visual object extraction based on belief propagation. Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings. PART 1. 编辑 2007. 页码 24-33 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

@inproceedings{c7aad0b60e7a4e54bc3068116d7f1296,

title = "Interactive visual object extraction based on belief propagation",

abstract = "Interactive foreground/background segmentation in a static image is a hot topic in image processing. Classical frameworks focus on providing one class label for the user to specify the foreground. This may be not enough in image editing. In this paper, we develop an interactive framework which can allow the user to label multiply foreground objects of interest. Our framework is constructed on belief propagation. The messages about the foreground objects and background are propagated between pixel grids. Finally, each pixel is assigned a class label after finishing the message propagation. Experimental results illustrate the validity of our method. In addition, some applications in color transfer, image completion and motion detection are given in this paper.",

author = "Shiming Xiang and Feiping Nie and Changshui Zhang and Chunxia Zhang",

year = "2007",

doi = "10.1007/978-3-540-69423-6_3",

language = "English",

isbn = "9783540694212",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 1",

pages = "24--33",

booktitle = "Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings",

edition = "PART 1",

note = "13th International Multimedia Modeling Conference, MMM 2007 ; Conference date: 09-01-2007 Through 12-01-2007",

}

Xiang, S, Nie, F, Zhang, C & Zhang, C 2007, Interactive visual object extraction based on belief propagation. 在 Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings. PART 1 编辑, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 号码 PART 1, 卷 4351 LNCS, 页码 24-33, 13th International Multimedia Modeling Conference, MMM 2007, Singapore, 新加坡, 9/01/07. https://doi.org/10.1007/978-3-540-69423-6_3

Interactive visual object extraction based on belief propagation. / Xiang, Shiming; Nie, Feiping; Zhang, Changshui 等.
Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings. PART 1. 编辑 2007. 页码 24-33 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 4351 LNCS, 号码 PART 1).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Interactive visual object extraction based on belief propagation

AU - Xiang, Shiming

AU - Nie, Feiping

AU - Zhang, Changshui

AU - Zhang, Chunxia

PY - 2007

Y1 - 2007

N2 - Interactive foreground/background segmentation in a static image is a hot topic in image processing. Classical frameworks focus on providing one class label for the user to specify the foreground. This may be not enough in image editing. In this paper, we develop an interactive framework which can allow the user to label multiply foreground objects of interest. Our framework is constructed on belief propagation. The messages about the foreground objects and background are propagated between pixel grids. Finally, each pixel is assigned a class label after finishing the message propagation. Experimental results illustrate the validity of our method. In addition, some applications in color transfer, image completion and motion detection are given in this paper.

AB - Interactive foreground/background segmentation in a static image is a hot topic in image processing. Classical frameworks focus on providing one class label for the user to specify the foreground. This may be not enough in image editing. In this paper, we develop an interactive framework which can allow the user to label multiply foreground objects of interest. Our framework is constructed on belief propagation. The messages about the foreground objects and background are propagated between pixel grids. Finally, each pixel is assigned a class label after finishing the message propagation. Experimental results illustrate the validity of our method. In addition, some applications in color transfer, image completion and motion detection are given in this paper.

UR - http://www.scopus.com/inward/record.url?scp=84886386497&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-69423-6_3

DO - 10.1007/978-3-540-69423-6_3

M3 - Conference contribution

AN - SCOPUS:84886386497

SN - 9783540694212

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 24

EP - 33

BT - Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings

T2 - 13th International Multimedia Modeling Conference, MMM 2007

Y2 - 9 January 2007 through 12 January 2007

ER -

Xiang S, Nie F, Zhang C, Zhang C. Interactive visual object extraction based on belief propagation. 在 Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings. PART 1 编辑 2007. 页码 24-33. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-540-69423-6_3

Interactive visual object extraction based on belief propagation

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