Inter-image Affinity based Interactive Video Object Segmentation

Yuk Heo; Yeong Jun Koh; Chang Su Kim

doi:10.1109/ICTC49870.2020.9289608

Inter-image Affinity based Interactive Video Object Segmentation

Yuk Heo
, Yeong Jun Koh
, Chang Su Kim

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

2 Citations (Scopus)

Abstract

A procedure of interactive video object segmentation is cutting out a target object in a video by repeatedly providing user-annotations (points, lines, etc.) to an algorithm. In this paper, the procedure is achieved by generating the inter-image affinity matrix between the target frame and the annotated frame, and the other matrix between the previous frame and the target frame. By utilizing the two inter-image affinity matrices, we transport encoded features of the annotated frame and the previous frame for the target object. Through the experimental result, we show that exploiting the inter-image affinity matrices are effective for conducting the interactive video object segmentation.

Original language	English
Title of host publication	ICTC 2020 - 11th International Conference on ICT Convergence
Subtitle of host publication	Data, Network, and AI in the Age of Untact
Publisher	IEEE Computer Society
Pages	384-386
Number of pages	3
ISBN (Electronic)	9781728167589
DOIs	https://doi.org/10.1109/ICTC49870.2020.9289608
Publication status	Published - 2020 Oct 21
Event	11th International Conference on Information and Communication Technology Convergence, ICTC 2020 - Jeju Island, Korea, Republic of Duration: 2020 Oct 21 → 2020 Oct 23

Publication series

Name	International Conference on ICT Convergence
Volume	2020-October
ISSN (Print)	2162-1233
ISSN (Electronic)	2162-1241

Conference

Conference	11th International Conference on Information and Communication Technology Convergence, ICTC 2020
Country/Territory	Korea, Republic of
City	Jeju Island
Period	20/10/21 → 20/10/23

Bibliographical note

Funding Information:
This work was supported in part by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2020-2016-0-00464) supervised by the IITP(Institute for Information & communications Technology Promotion)

Publisher Copyright:
© 2020 IEEE.

Keywords

Interactive Video Object Segmentation
Segmentation
Video Object Segmentation

ASJC Scopus subject areas

Information Systems
Computer Networks and Communications

Access to Document

10.1109/ICTC49870.2020.9289608

Cite this

Heo, Y., Koh, Y. J., & Kim, C. S. (2020). Inter-image Affinity based Interactive Video Object Segmentation. In ICTC 2020 - 11th International Conference on ICT Convergence: Data, Network, and AI in the Age of Untact (pp. 384-386). Article 9289608 (International Conference on ICT Convergence; Vol. 2020-October). IEEE Computer Society. https://doi.org/10.1109/ICTC49870.2020.9289608

Inter-image Affinity based Interactive Video Object Segmentation. / Heo, Yuk; Koh, Yeong Jun; Kim, Chang Su.
ICTC 2020 - 11th International Conference on ICT Convergence: Data, Network, and AI in the Age of Untact. IEEE Computer Society, 2020. p. 384-386 9289608 (International Conference on ICT Convergence; Vol. 2020-October).

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

Heo, Y, Koh, YJ & Kim, CS 2020, Inter-image Affinity based Interactive Video Object Segmentation. in ICTC 2020 - 11th International Conference on ICT Convergence: Data, Network, and AI in the Age of Untact., 9289608, International Conference on ICT Convergence, vol. 2020-October, IEEE Computer Society, pp. 384-386, 11th International Conference on Information and Communication Technology Convergence, ICTC 2020, Jeju Island, Korea, Republic of, 20/10/21. https://doi.org/10.1109/ICTC49870.2020.9289608

@inproceedings{125e0cc5dcdc4fc4b420359a7282cd22,

title = "Inter-image Affinity based Interactive Video Object Segmentation",

abstract = "A procedure of interactive video object segmentation is cutting out a target object in a video by repeatedly providing user-annotations (points, lines, etc.) to an algorithm. In this paper, the procedure is achieved by generating the inter-image affinity matrix between the target frame and the annotated frame, and the other matrix between the previous frame and the target frame. By utilizing the two inter-image affinity matrices, we transport encoded features of the annotated frame and the previous frame for the target object. Through the experimental result, we show that exploiting the inter-image affinity matrices are effective for conducting the interactive video object segmentation.",

keywords = "Interactive Video Object Segmentation, Segmentation, Video Object Segmentation",

author = "Yuk Heo and Koh, \{Yeong Jun\} and Kim, \{Chang Su\}",

note = "Funding Information: This work was supported in part by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2020-2016-0-00464) supervised by the IITP(Institute for Information \& communications Technology Promotion) Publisher Copyright: {\textcopyright} 2020 IEEE.; 11th International Conference on Information and Communication Technology Convergence, ICTC 2020 ; Conference date: 21-10-2020 Through 23-10-2020",

year = "2020",

month = oct,

day = "21",

doi = "10.1109/ICTC49870.2020.9289608",

language = "English",

series = "International Conference on ICT Convergence",

publisher = "IEEE Computer Society",

pages = "384--386",

booktitle = "ICTC 2020 - 11th International Conference on ICT Convergence",

}

TY - GEN

T1 - Inter-image Affinity based Interactive Video Object Segmentation

AU - Heo, Yuk

AU - Koh, Yeong Jun

AU - Kim, Chang Su

N1 - Funding Information: This work was supported in part by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2020-2016-0-00464) supervised by the IITP(Institute for Information & communications Technology Promotion) Publisher Copyright: © 2020 IEEE.

PY - 2020/10/21

Y1 - 2020/10/21

N2 - A procedure of interactive video object segmentation is cutting out a target object in a video by repeatedly providing user-annotations (points, lines, etc.) to an algorithm. In this paper, the procedure is achieved by generating the inter-image affinity matrix between the target frame and the annotated frame, and the other matrix between the previous frame and the target frame. By utilizing the two inter-image affinity matrices, we transport encoded features of the annotated frame and the previous frame for the target object. Through the experimental result, we show that exploiting the inter-image affinity matrices are effective for conducting the interactive video object segmentation.

AB - A procedure of interactive video object segmentation is cutting out a target object in a video by repeatedly providing user-annotations (points, lines, etc.) to an algorithm. In this paper, the procedure is achieved by generating the inter-image affinity matrix between the target frame and the annotated frame, and the other matrix between the previous frame and the target frame. By utilizing the two inter-image affinity matrices, we transport encoded features of the annotated frame and the previous frame for the target object. Through the experimental result, we show that exploiting the inter-image affinity matrices are effective for conducting the interactive video object segmentation.

KW - Interactive Video Object Segmentation

KW - Segmentation

KW - Video Object Segmentation

UR - https://www.scopus.com/pages/publications/85098958387

U2 - 10.1109/ICTC49870.2020.9289608

DO - 10.1109/ICTC49870.2020.9289608

M3 - Conference contribution

AN - SCOPUS:85098958387

T3 - International Conference on ICT Convergence

SP - 384

EP - 386

BT - ICTC 2020 - 11th International Conference on ICT Convergence

PB - IEEE Computer Society

T2 - 11th International Conference on Information and Communication Technology Convergence, ICTC 2020

Y2 - 21 October 2020 through 23 October 2020

ER -

Inter-image Affinity based Interactive Video Object Segmentation

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this