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

School of Computer Science and Technology

Tsinghua University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings
Pages	24-33
Number of pages	10
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-540-69423-6_3
Publication status	Published - 2007
Event	13th International Multimedia Modeling Conference, MMM 2007 - Singapore, Singapore Duration: 9 Jan 2007 → 12 Jan 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	4351 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Multimedia Modeling Conference, MMM 2007
Country/Territory	Singapore
City	Singapore
Period	9/01/07 → 12/01/07

Access to Document

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

Cite this

Xiang, S., Nie, F., Zhang, C., & Zhang, C. (2007). Interactive visual object extraction based on belief propagation. In Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings (PART 1 ed., pp. 24-33). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4351 LNCS, No. PART 1). https://doi.org/10.1007/978-3-540-69423-6_3

Xiang, Shiming ; Nie, Feiping ; Zhang, Changshui et al. / Interactive visual object extraction based on belief propagation. Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings. PART 1. ed. 2007. pp. 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. in Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 4351 LNCS, pp. 24-33, 13th International Multimedia Modeling Conference, MMM 2007, Singapore, Singapore, 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 et al.
Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings. PART 1. ed. 2007. p. 24-33 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4351 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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.

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

M3 - Conference contribution

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SN - 9783540694212

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

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

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Xiang S, Nie F, Zhang C, Zhang C. Interactive visual object extraction based on belief propagation. In Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings. PART 1 ed. 2007. p. 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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