A Data Cube Model for Surveillance Video Indexing and Retrieval
Hansung Lee, Sohee Park, Jang-Hee Yoo
2013
Abstract
We propose a novel data cube model, viz., \emph{SurvCube}, for the multi-dimensional indexing and retrieval of surveillance videos. The proposed method provides the multi-dimensional analysis of interesting objects in surveillance videos according to the chronological view, events and locations by means of data cube structure. By employing the OLAP operation on the surveillance videos, it is able to provides desirable functionalities such as 1) retrieval of objects and events at a different level of abstraction, i.e., coarse to fine grained retrieval; 2) providing the tracing of interesting object trajectories across the cameras; 3) providing the summarization of surveillance video with respect to interesting objects (and/or events) and abstract level of time and locations.
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Paper Citation
in Harvard Style
Lee H., Park S. and Yoo J. (2013). A Data Cube Model for Surveillance Video Indexing and Retrieval . In Proceedings of the 10th International Conference on Signal Processing and Multimedia Applications and 10th International Conference on Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2013) ISBN 978-989-8565-74-7, pages 163-168. DOI: 10.5220/0004612101630168
in Bibtex Style
@conference{sigmap13,
author={Hansung Lee and Sohee Park and Jang-Hee Yoo},
title={A Data Cube Model for Surveillance Video Indexing and Retrieval},
booktitle={Proceedings of the 10th International Conference on Signal Processing and Multimedia Applications and 10th International Conference on Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2013)},
year={2013},
pages={163-168},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004612101630168},
isbn={978-989-8565-74-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 10th International Conference on Signal Processing and Multimedia Applications and 10th International Conference on Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2013)
TI - A Data Cube Model for Surveillance Video Indexing and Retrieval
SN - 978-989-8565-74-7
AU - Lee H.
AU - Park S.
AU - Yoo J.
PY - 2013
SP - 163
EP - 168
DO - 10.5220/0004612101630168