视频数据库索引的时间UID矩阵策略

Ye-In Chang, Wei-Horng Yeh, Jiun-Rung Chen, Youcheng Chen
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引用次数: 1

摘要

在视频数据库中,每个视频都包含内容对象之间的时间和空间关系。其中一个著名的视频索引策略是三维c字串策略。但是,它不能处理对象出现然后消失不止一次的情况。为了解决这个问题,在本文中,我们提出了一种索引策略,称为时态UID Matrix1。基于二维c弦原先提出的13种空间关系和我们的3种新的空间关系,我们可以从空间关系的序列中推导出时间关系。因此,在我们提出的策略中,虽然我们只建立空间关系的索引,但我们仍然可以回答视频查询,即空间查询,时间查询和时空查询。仿真研究表明,本文提出的策略在视频搜索方面比3D c字串策略更有效。
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A Temporal UID Matrix Strategy for Indexing Video Databases
In video databases, each video contains temporal and spatial relationships between content objects. One of the well-known video indexing strategies is the 3D C-string strategy. However, it cannot deal with the condition that an object appears and then disappears for more than one time. To solve this problem, in this paper, we propose an indexing strategy, called temporal UID Matrix1. Based on the original 13 spatial relationships proposed by 2D C-string and our three new spatial relationships, we can derive the temporal relationships from the sequence of spatial relationships. Therefore, in our proposed strategy, although we build only index for spatial relationships, and we still can answer the video queries, i.e., spatial, temporal, and spatio-temporal queries. From our simulation study, we show that our proposed strategy is more efficient for video searching than the 3D C-string strategy.
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