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Content-based retrieval of video data with flexibly managed attributes

机译:具有灵活管理属性的基于内容的视频数据检索

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摘要

Various types of information can be mixed in a continuous video stream without any clear boundary. For this reason, there seems to be no simple solution to support content-based queries in a video database. The meaning of a video scene can be interpreted by multiple levels of abstraction and its description can be varied among different users. Therefore, it is important for a user to be able to describe a scene flexibly while the description given by different users should be maintained consistently. This paper proposes an effective way to represent the different types of video information in the conventional relational database model. Flexibly defined attributes and their values are organized as tree-structured dictionaries while the description of video data is stored in a fixed database schema. In order to assist a user, two browsing methods are introduced. The dictionary browser simplifies the annotation process as well as the querying process of a user while the result browser can help a user analyze the results of a query in terms of various combinations of query conditions.
机译:可以将各种类型的信息混合在连续的视频流中,而没有任何明确的边界。因此,似乎没有简单的解决方案来支持视频数据库中基于内容的查询。视频场景的含义可以通过多个抽象级别来解释,并且其描述在不同用户之间可以有所不同。因此,对于用户来说,灵活地描述场景是重要的,而不同用户给出的描述应保持一致。本文提出了一种有效的方式来表示常规关系数据库模型中不同类型的视频信息。灵活定义的属性及其值被组织为树状词典,而视频数据的描述存储在固定的数据库模式中。为了帮助用户,引入了两种浏览方法。词典浏览器简化了用户的注释过程以及查询过程,而结果浏览器可以帮助用户根据查询条件的各种组合来分析查询结果。

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