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Generating Semantic Annotation of Video for Organizing and Searching Traffic Resources

Generating Semantic Annotation of Video for Organizing and Searching Traffic Resources

Zheng Xu, Fenglin Zhi, Chen Liang, Lin Mei, Xiangfeng Luo
Copyright: © 2014 |Volume: 8 |Issue: 1 |Pages: 16
ISSN: 1557-3958|EISSN: 1557-3966|EISBN13: 9781466653252|DOI: 10.4018/ijcini.2014010104
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MLA

Xu, Zheng, et al. "Generating Semantic Annotation of Video for Organizing and Searching Traffic Resources." IJCINI vol.8, no.1 2014: pp.51-66. http://doi.org/10.4018/ijcini.2014010104

APA

Xu, Z., Zhi, F., Liang, C., Mei, L., & Luo, X. (2014). Generating Semantic Annotation of Video for Organizing and Searching Traffic Resources. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 8(1), 51-66. http://doi.org/10.4018/ijcini.2014010104

Chicago

Xu, Zheng, et al. "Generating Semantic Annotation of Video for Organizing and Searching Traffic Resources," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) 8, no.1: 51-66. http://doi.org/10.4018/ijcini.2014010104

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Abstract

Image and video resources play an important role in traffic events analysis. With the rapid growth of the video surveillance devices, large number of image and video resources is increasing being created. It is crucial to explore, share, reuse, and link these multimedia resources for better organizing traffic events. Most of the video resources are currently annotated in an isolated way, which means that they lack semantic connections. Thus, providing the facilities for annotating these video resources is highly demanded. These facilities create the semantic connections among video resources and allow their metadata to be understood globally. Adopting semantic technologies, this paper introduces a video annotation platform. The platform enables user to semantically annotate video resources using vocabularies defined by traffic events ontologies. Moreover, the platform provides the search interface of annotated video resources. The result of initial development demonstrates the benefits of applying semantic technologies in the aspects of reusability, scalability and extensibility.

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