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Hierarchical video representation with trajectory binary partition tree

Author
Palou, G.; Salembier, P.
Type of activity
Presentation of work at congresses
Name of edition
26th IEEE Conference on Computer Vision and Pattern Recognition
Date of publication
2013
Presentation's date
2013-06-20
Book of congress proceedings
CVRP 2013: 2013 IEEE Conference on Computer Vision and Pattern Recognition: proceedings: 23-28 June 2013: Portland, Oregon, USA
First page
2099
Last page
2106
Publisher
IEEE Computer Society Publications
Repository
http://hdl.handle.net/2117/22497 Open in new window
URL
http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Palou_Hierarchical_Video_Representation_2013_CVPR_paper.pdf Open in new window
Abstract
As early stage of video processing, we introduce an iter- ative trajectory merging algorithm that produces a region- based and hierarchical representation of the video se- quence, called the Trajectory Binary Partition Tree (BPT). From this representation, many analysis and graph cut tech- niques can be used to extract partitions or objects that are useful in the context of specific applications. In order to define trajectories and to create a precise merging algorithm, color and motion cues hav...
Citation
Palou, G.; Salembier, P. Hierarchical video representation with trajectory binary partition tree. A: IEEE Conference on Computer Vision and Pattern Recognition. "CVRP 2013: 2013 IEEE Conference on Computer Vision and Pattern Recognition: proceedings: 23-28 June 2013: Portland, Oregon, USA". Portland, Oregon: IEEE Computer Society Publications, 2013, p. 2099-2106.
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

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