Querying Video Libraries*
Querying Video Libraries*
复制标题
查询视频库*
DOI：
10.1006/jvci.1996.0005
复制
发表时间：
1995
期刊：
影响因子：
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通讯作者：
V. S. Subrahmanian
中科院分区：
文献类型：
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作者：
Eenjun Hwang;V. S. Subrahmanian
摘要组织和查询大量视频数据的兴趣越来越大。在本文中，我们将开发一个简单的SQL类视频语言，它不仅可以用来识别库中的视频是用户感兴趣的，但它也可以用来提取，从这样的视频库中的视频，满足指定的查询条件的视频的相关片段。我们调查了各种类型的用户请求，并展示了它们是如何使用我们的查询语言表达的。我们还开发多项式时间算法来处理这样的查询。此外，我们展示了如何视频演示可以合成响应用户查询。我们展示了如何一个标准的关系数据库系统可以扩展，以处理查询，如在我们的语言表达。基于这些原则，我们已经建立了一个原型视频检索系统VIQS。我们描述了VIQS的设计和实现，并显示了一些示例与VIQS的相互作用。
Abstract There is now growing interest in organizing and querying large bodies of video data. In this paper, we will develop a simple SQL-like video language which can be used not only to identify videos in the library that are of interest to the user, but which can also be used to extract, from such a video in a video library, the relevant segments of the video that satisfy the specified query condition. We investigate various types of user requests and show how they are expressed using our query language. We also develop polynomial-time algorithms to process such queries. Furthermore, we show how video presentations may be synthesized in response to a user query. We show how a standard relational database system can be extended in order to handle queries such as those expressed in our language. Based on these principles, we have built a prototype video retrieval system called VIQS. We describe the design and implementation of VIQS and show some sample interactions with VIQS.