Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings - 2013 IEEE International Conference on Computer Vision |
| Untertitel | ICCV 2013 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 385-392 |
| Seitenumfang | 8 |
| ISBN (Print) | 9781479928392 |
| Publikationsstatus | Veröffentlicht - 2014 |
| Veranstaltung | 2013 14th IEEE International Conference on Computer Vision, ICCV 2013 - Sydney, NSW, Australien Dauer: 1 Dez. 2013 → 8 Dez. 2013 |
Publikationsreihe
| Name | Proceedings of the IEEE International Conference on Computer Vision |
|---|
Abstract
Super pixel algorithms represent a very useful and increasingly popular preprocessing step for a wide range of computer vision applications, as they offer the potential to boost efficiency and effectiveness. In this regards, this paper presents a highly competitive approach for temporally consistent super pixels for video content. The approach is based on energy-minimizing clustering utilizing a novel hybrid clustering strategy for a multi-dimensional feature space working in a global color subspace and local spatial subspaces. Moreover, a new contour evolution based strategy is introduced to ensure spatial coherency of the generated super pixels. For a thorough evaluation the proposed approach is compared to state of the art super voxel algorithms using established benchmarks and shows a superior performance.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Software
- Informatik (insg.)
- Maschinelles Sehen und Mustererkennung
Zitieren
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- Harvard
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- BibTex
- RIS
Proceedings - 2013 IEEE International Conference on Computer Vision: ICCV 2013. Institute of Electrical and Electronics Engineers Inc., 2014. S. 385-392 6751157 (Proceedings of the IEEE International Conference on Computer Vision).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Temporally Consistent Superpixels
AU - Reso, Matthias
AU - Jachalsky, Jorn
AU - Rosenhahn, Bodo
AU - Ostermann, Jorn
PY - 2014
Y1 - 2014
N2 - Super pixel algorithms represent a very useful and increasingly popular preprocessing step for a wide range of computer vision applications, as they offer the potential to boost efficiency and effectiveness. In this regards, this paper presents a highly competitive approach for temporally consistent super pixels for video content. The approach is based on energy-minimizing clustering utilizing a novel hybrid clustering strategy for a multi-dimensional feature space working in a global color subspace and local spatial subspaces. Moreover, a new contour evolution based strategy is introduced to ensure spatial coherency of the generated super pixels. For a thorough evaluation the proposed approach is compared to state of the art super voxel algorithms using established benchmarks and shows a superior performance.
AB - Super pixel algorithms represent a very useful and increasingly popular preprocessing step for a wide range of computer vision applications, as they offer the potential to boost efficiency and effectiveness. In this regards, this paper presents a highly competitive approach for temporally consistent super pixels for video content. The approach is based on energy-minimizing clustering utilizing a novel hybrid clustering strategy for a multi-dimensional feature space working in a global color subspace and local spatial subspaces. Moreover, a new contour evolution based strategy is introduced to ensure spatial coherency of the generated super pixels. For a thorough evaluation the proposed approach is compared to state of the art super voxel algorithms using established benchmarks and shows a superior performance.
KW - over-segmentation
KW - superpixel
KW - supervoxel
KW - tracking
KW - video segmentation
UR - http://www.scopus.com/inward/record.url?scp=84898833837&partnerID=8YFLogxK
U2 - 10.1109/ICCV.2013.55
DO - 10.1109/ICCV.2013.55
M3 - Conference contribution
AN - SCOPUS:84898833837
SN - 9781479928392
T3 - Proceedings of the IEEE International Conference on Computer Vision
SP - 385
EP - 392
BT - Proceedings - 2013 IEEE International Conference on Computer Vision
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2013 14th IEEE International Conference on Computer Vision, ICCV 2013
Y2 - 1 December 2013 through 8 December 2013
ER -