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 |
| Pages | 161-172 |
| Number of pages | 12 |
| Publication status | Published - 2007 Dec 20 |
| 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 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
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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. 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
TY - GEN
T1 - Interactive system for efficient video cartooning
AU - Hong, Sung Soo
AU - Yoon, Jong Chul
AU - Lee, In Kwon
AU - Byun, Siwoo
PY - 2007/12/20
Y1 - 2007/12/20
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=37149018769&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=37149018769&partnerID=8YFLogxK
M3 - Conference contribution
SN - 3540714561
SN - 9783540714569
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 161
EP - 172
BT - Computer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings
ER -