Interactive system for efficient video cartooning

Sung Soo Hong; Jong Chul Yoon; In Kwon Lee; Siwoo Byun

doi:10.1007/978-3-540-71457-6_15

Interactive system for efficient video cartooning

Sung Soo Hong, Jong Chul Yoon, In Kwon Lee, Siwoo Byun

Department of Computer Science

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

Abstract

Non-Photorealistic Rendering (NPR) can offer increased concentration and familiarity to the watcher. For this reason, many media such as movies, games, and commercials currently use the NPR method to deliver information. In this paper, we suggest an interactive system for video cartooning based on the mean-shift segmentation of image and video. In order to solve the problems of time complexity and memory allocation, the conventional problems of video mean-shift segmentation, this paper proposes several techniques such as foreground object based segmentation and sequential segmentation. We also propose the interactive correction technique to get enhanced results. For more cartoonic representation, we used spline curve approximation of segment boundaries in the final rendering results. With our method, we can easily create cartoon rendering output using the video streams such like home video, which can be obtained easily in our daily life.

Original language	English
Title of host publication	Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings
Publisher	Springer Verlag
Pages	161-172
Number of pages	12
ISBN (Print)	3540714561, 9783540714569
DOIs	https://doi.org/10.1007/978-3-540-71457-6_15
Publication status	Published - 2007
Event	3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques - Rocquencourt, France Duration: 2007 Mar 28 → 2007 Mar 30

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4418 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques
Country	France
City	Rocquencourt
Period	07/3/28 → 07/3/30

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-71457-6_15

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Hong, S. S., Yoon, J. C., Lee, I. K., & Byun, S. (2007). Interactive system for efficient video cartooning. In Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings (pp. 161-172). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4418 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-71457-6_15

Hong, Sung Soo ; Yoon, Jong Chul ; Lee, In Kwon ; Byun, Siwoo. / Interactive system for efficient video cartooning. Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings. Springer Verlag, 2007. pp. 161-172 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Non-Photorealistic Rendering (NPR) can offer increased concentration and familiarity to the watcher. For this reason, many media such as movies, games, and commercials currently use the NPR method to deliver information. In this paper, we suggest an interactive system for video cartooning based on the mean-shift segmentation of image and video. In order to solve the problems of time complexity and memory allocation, the conventional problems of video mean-shift segmentation, this paper proposes several techniques such as foreground object based segmentation and sequential segmentation. We also propose the interactive correction technique to get enhanced results. For more cartoonic representation, we used spline curve approximation of segment boundaries in the final rendering results. With our method, we can easily create cartoon rendering output using the video streams such like home video, which can be obtained easily in our daily life.",

author = "Hong, {Sung Soo} and Yoon, {Jong Chul} and Lee, {In Kwon} and Siwoo Byun",

note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques ; Conference date: 28-03-2007 Through 30-03-2007",

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Hong, SS, Yoon, JC, Lee, IK & Byun, S 2007, Interactive system for efficient video cartooning. in Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4418 LNCS, Springer Verlag, pp. 161-172, 3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques, Rocquencourt, France, 07/3/28. https://doi.org/10.1007/978-3-540-71457-6_15

Interactive system for efficient video cartooning. / Hong, Sung Soo; Yoon, Jong Chul; Lee, In Kwon; Byun, Siwoo.

Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings. Springer Verlag, 2007. p. 161-172 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4418 LNCS).

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

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AB - Non-Photorealistic Rendering (NPR) can offer increased concentration and familiarity to the watcher. For this reason, many media such as movies, games, and commercials currently use the NPR method to deliver information. In this paper, we suggest an interactive system for video cartooning based on the mean-shift segmentation of image and video. In order to solve the problems of time complexity and memory allocation, the conventional problems of video mean-shift segmentation, this paper proposes several techniques such as foreground object based segmentation and sequential segmentation. We also propose the interactive correction technique to get enhanced results. For more cartoonic representation, we used spline curve approximation of segment boundaries in the final rendering results. With our method, we can easily create cartoon rendering output using the video streams such like home video, which can be obtained easily in our daily life.

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Hong SS, Yoon JC, Lee IK, Byun S. Interactive system for efficient video cartooning. In Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings. Springer Verlag. 2007. p. 161-172. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-71457-6_15