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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)
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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.
Keywords
Reasoning, Video analytics, FRAMEWORK, TRACKING, ONTOLOGY, SYSTEM, Video surveillance system, Semantic web technologies, Multimedia standards

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Citation

Please use this url to cite or link to this publication:

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, Chris, 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.
@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},
  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},
}

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