考虑时间结构和类型事件约束的视频语义模型

Yu Wang, Lizhu Zhou, Jianyong Wang
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引用次数: 2

摘要

视频技术和视频相关应用的发展需要合适的视频语义模型来表示视频数据及其语义,并支持对其进行强大的语义查询。在本文中,我们提出了一个名为SemTTE的模型。该模型结合了视频内容的时间结构特征和事件类型特征。它将整个视频组织成事件树,并为用户提供定义特定领域约束的机制。这样可以更好地表示和查询视频的内容和语义。对于约束的执行,提出了一种有效的在线执行方法。
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Model Video Semantics with Constraints Considering Temporal Structure and Typed Events
The advances of video technology and video-related applications demand appropriate video semantic models for representing video data and their semantics, and supporting powerful semantic queries on them. In this paper, we propose such a model named SemTTE. The model incorporates features of temporal structure and typed events of video contents. It organizes the whole video into a tree of events, and provides mechanisms for users to define domain-specific constraints. As a result, the contents and semantics of the video can be better represented and queried. For constraints enforcement, an efficient on-line method is proposed.
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