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Semantic web technologies for video surveillance metadata

Chris Poppe UGent, Gaëtan Martens UGent, Pieterjan De Potter UGent and Rik Van de Walle UGent (2012) MULTIMEDIA TOOLS AND APPLICATIONS. 56(3). p.439-467
abstract
Video surveillance systems are growing in size and complexity. Such systems typically consist of integrated modules of different vendors to cope with the increasing demands on network and storage capacity, intelligent video analytics, picture quality, and enhanced visual interfaces. Within a surveillance system, relevant information (like technical details on the video sequences, or analysis results of the monitored environment) is described using metadata standards. However, different modules typically use different standards, resulting in metadata interoperability problems. In this paper, we introduce the application of Semantic Web Technologies to overcome such problems. We present a semantic, layered metadata model and integrate it within a video surveillance system. Besides dealing with the metadata interoperability problem, the advantages of using Semantic Web Technologies and the inherent rule support are shown. A practical use case scenario is presented to illustrate the benefits of our novel approach.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
Reasoning, Video analytics, FRAMEWORK, TRACKING, ONTOLOGY, SYSTEM, Video surveillance system, Semantic web technologies, Multimedia standards
journal title
MULTIMEDIA TOOLS AND APPLICATIONS
Multimed. Tools Appl.
volume
56
issue
3
pages
439 - 467
Web of Science type
Article
Web of Science id
000300189700003
JCR category
COMPUTER SCIENCE, THEORY & METHODS
JCR impact factor
1.014 (2012)
JCR rank
33/100 (2012)
JCR quartile
2 (2012)
ISSN
1380-7501
DOI
10.1007/s11042-010-0600-5
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1086389
handle
http://hdl.handle.net/1854/LU-1086389
date created
2010-12-13 11:42:20
date last changed
2013-10-22 11:45:29
@article{1086389,
  abstract     = {Video surveillance systems are growing in size and complexity. Such systems typically consist of integrated modules of different vendors to cope with the increasing demands on network and storage capacity, intelligent video analytics, picture quality, and enhanced visual interfaces. Within a surveillance system, relevant information (like technical details on the video sequences, or analysis results of the monitored environment) is described using metadata standards. However, different modules typically use different standards, resulting in metadata interoperability problems. In this paper, we introduce the application of Semantic Web Technologies to overcome such problems. We present a semantic, layered metadata model and integrate it within a video surveillance system. Besides dealing with the metadata interoperability problem, the advantages of using Semantic Web Technologies and the inherent rule support are shown. A practical use case scenario is presented to illustrate the benefits of our novel approach.},
  author       = {Poppe, Chris and Martens, Ga{\"e}tan and De Potter, Pieterjan and Van de Walle, Rik},
  issn         = {1380-7501},
  journal      = {MULTIMEDIA TOOLS AND APPLICATIONS},
  keyword      = {Reasoning,Video analytics,FRAMEWORK,TRACKING,ONTOLOGY,SYSTEM,Video surveillance system,Semantic web technologies,Multimedia standards},
  language     = {eng},
  number       = {3},
  pages        = {439--467},
  title        = {Semantic web technologies for video surveillance metadata},
  url          = {http://dx.doi.org/10.1007/s11042-010-0600-5},
  volume       = {56},
  year         = {2012},
}

Chicago
Poppe, Chris, Gaëtan Martens, Pieterjan De Potter, and Rik Van de Walle. 2012. “Semantic Web Technologies for Video Surveillance Metadata.” Multimedia Tools and Applications 56 (3): 439–467.
APA
Poppe, C., Martens, G., De Potter, P., & Van de Walle, R. (2012). Semantic web technologies for video surveillance metadata. MULTIMEDIA TOOLS AND APPLICATIONS, 56(3), 439–467.
Vancouver
1.
Poppe C, Martens G, De Potter P, Van de Walle R. Semantic web technologies for video surveillance metadata. MULTIMEDIA TOOLS AND APPLICATIONS. 2012;56(3):439–67.
MLA
Poppe, Chris, Gaëtan Martens, Pieterjan De Potter, et al. “Semantic Web Technologies for Video Surveillance Metadata.” MULTIMEDIA TOOLS AND APPLICATIONS 56.3 (2012): 439–467. Print.