Video Surveillance Online Repository (ViSOR): an integrated framework
Video Surveillance Online Repository (ViSOR): an integrated framework
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DOI：
10.1007/s11042-009-0402-9
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发表时间：
2010-11
影响因子：
3.6
通讯作者：
R. Vezzani;R. Cucchiara
中科院分区：
文献类型：
--
作者：
R. Vezzani;R. Cucchiara
视频监控的新技术和工具的可用性以及存储数百台摄像机每天获取的大量视觉数据的能力要求模式识别，计算机视觉和多媒体范式之间的融合。一个明确的需要，这种融合是由新的研究项目，试图利用基于本体的检索和视频分析技术，也在监控领域。本文介绍了ViSOR（视频监控在线知识库）框架，旨在建立一个开放的平台，收集，注释，检索和共享监控视频，以及评估自动监控系统的性能。注释基于一个参考本体，该本体已经定义为集成了数百个概念，其中一些来自LSCOM和MediaMill本体。还提供了一种新的注释分类模式，其目的是识别所使用的空间、时间和域细节级别。ViSOR网络界面允许视频浏览，通过注释概念或关键字查询，压缩视频预览，媒体下载和上传。最后，ViSOR包括一个性能评估台，可用于比较不同的注释。
The availability of new techniques and tools for Video Surveillance and the capability of storing huge amounts of visual data acquired by hundreds of cameras every day call for a convergence between pattern recognition, computer vision and multimedia paradigms. A clear need for this convergence is shown by new research projects which attempt to exploit both ontology-based retrieval and video analysis techniques also in the field of surveillance. This paper presents the ViSOR (Video Surveillance Online Repository) framework, designed with the aim of establishing an open platform for collecting, annotating, retrieving, and sharing surveillance videos, as well as evaluating the performance of automatic surveillance systems. Annotations are based on a reference ontology which has been defined integrating hundreds of concepts, some of them coming from the LSCOM and MediaMill ontologies. A new annotation classification schema is also provided, which is aimed at identifying the spatial, temporal and domain detail level used. The ViSOR web interface allows video browsing, querying by annotated concepts or by keywords, compressed video previewing, media downloading and uploading. Finally, ViSOR includes a performance evaluation desk which can be used to compare different annotations.