Abstract
In this paper, we propose a novel annotation placement approach for revealing information about foreground objects in surveillance videos. To arrange positions of annotations, spatiotemporal coherence between annotations and foreground objects is applied. The annotation placement problem is formulated as an optimization problem with respect to spatiotemporal coherence of annotations and foreground objects. The optimization problem is effectively solved using Markov random fields. To the best of our knowledge, this paper is the first work that discusses and solves the annotation placement problem for surveillance videos by considering the relationships between annotations and foreground objects with trajectories. As shown in the experiments, the proposed approach can arrange annotations based on the moving trajectories of foreground objects and prevent the occlusions between different annotations and foreground objects. It also achieves better quantitative and qualitative results compared with state-of-the-art approaches.
| Original language | English |
|---|---|
| Pages (from-to) | 787-801 |
| Number of pages | 15 |
| Journal | IEEE Transactions on Circuits and Systems for Video Technology |
| Volume | 28 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2018 Mar |
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All Science Journal Classification (ASJC) codes
- Media Technology
- Electrical and Electronic Engineering
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Spatiotemporal Coherence-Based Annotation Placement for Surveillance Videos. / Wang, Wei Cheng; Chiou, Chien Yu; Huang, Chun Rong; Chung, Pau Choo; Huang, Wei Yun.
In: IEEE Transactions on Circuits and Systems for Video Technology, Vol. 28, No. 3, 03.2018, p. 787-801.Research output: Contribution to journal › Article
TY - JOUR
T1 - Spatiotemporal Coherence-Based Annotation Placement for Surveillance Videos
AU - Wang, Wei Cheng
AU - Chiou, Chien Yu
AU - Huang, Chun Rong
AU - Chung, Pau Choo
AU - Huang, Wei Yun
PY - 2018/3
Y1 - 2018/3
N2 - In this paper, we propose a novel annotation placement approach for revealing information about foreground objects in surveillance videos. To arrange positions of annotations, spatiotemporal coherence between annotations and foreground objects is applied. The annotation placement problem is formulated as an optimization problem with respect to spatiotemporal coherence of annotations and foreground objects. The optimization problem is effectively solved using Markov random fields. To the best of our knowledge, this paper is the first work that discusses and solves the annotation placement problem for surveillance videos by considering the relationships between annotations and foreground objects with trajectories. As shown in the experiments, the proposed approach can arrange annotations based on the moving trajectories of foreground objects and prevent the occlusions between different annotations and foreground objects. It also achieves better quantitative and qualitative results compared with state-of-the-art approaches.
AB - In this paper, we propose a novel annotation placement approach for revealing information about foreground objects in surveillance videos. To arrange positions of annotations, spatiotemporal coherence between annotations and foreground objects is applied. The annotation placement problem is formulated as an optimization problem with respect to spatiotemporal coherence of annotations and foreground objects. The optimization problem is effectively solved using Markov random fields. To the best of our knowledge, this paper is the first work that discusses and solves the annotation placement problem for surveillance videos by considering the relationships between annotations and foreground objects with trajectories. As shown in the experiments, the proposed approach can arrange annotations based on the moving trajectories of foreground objects and prevent the occlusions between different annotations and foreground objects. It also achieves better quantitative and qualitative results compared with state-of-the-art approaches.
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UR - http://www.scopus.com/inward/citedby.url?scp=85042931375&partnerID=8YFLogxK
U2 - 10.1109/TCSVT.2016.2629340
DO - 10.1109/TCSVT.2016.2629340
M3 - Article
AN - SCOPUS:85042931375
VL - 28
SP - 787
EP - 801
JO - IEEE Transactions on Circuits and Systems for Video Technology
JF - IEEE Transactions on Circuits and Systems for Video Technology
SN - 1051-8215
IS - 3
ER -