Semantic enhanced cloud environment for surveillance data management using video structural description
Semantic enhanced cloud environment for surveillance data management using video structural description
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DOI：
10.1007/s00607-014-0408-7
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发表时间：
2014-05
期刊：
影响因子：
3.7
通讯作者：
Zheng Xu;Lin Mei;Yunhuai Liu;Chuanping Hu;Lan Chen
中科院分区：
文献类型：
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作者：
Zheng Xu;Lin Mei;Yunhuai Liu;Chuanping Hu;Lan Chen
近年来，随着智慧城市的普及，监控视频数据的数量急剧增长，给用户搜索和分析视频内容带来了困难。这些视频数据不再局限于数据，它为刑事侦查系统、入侵检测系统等提供了有效的信息。然而，随着可用云服务数量的增加，数据发现和选择的问题出现了。语义技术是提高数据检索和分析过程准确性的有效选择。本文提出了一种基于语义的云环境，以方便监控视频数据的分析和搜索过程。提出了一种集成本体构建、语义标注和语义搜索的体系结构，利用视频数据的语义描述，从概念层次进行查找。给出了一个语义中间层，它根据视频数据之间的语义关系对视频数据进行组织。最后将该方法应用于智能交通领域，展示了该方法在真实的应用中的良好前景。
Recently, the number of surveillance video data has grown enormously since the popularity of the smart cities, which brings the difficulties to users for searching and analyzing the content of the videos. These video data are not limited to data anymore, which provide the effective information for criminal investigation systems, intrusion detection system, and many others. However, as the number of available cloud services increases, the problem of data discovery and selection arises. The semantic technology is an effective choice for enhancing the accurate of the data searching and analyzing process. In this paper, a semantic based cloud environment is proposed to facilitate the analyzing and searching process of surveillance video data. An architecture integrating ontology building, semantic annotation, and semantic search is proposed to leverage the semantic description of the video data to find them from concept-based level. A semantic intermediate layer which organizes the video data based on their semantic relations is given. Moreover, the proposed method is used in the intelligent transportation field, which shows the bright prospect of the proposed method in real applications.