SMART: A grammar - based semantic video modeling and representation

V. Jain, R. Aygun
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引用次数: 9

Abstract

Multimedia database modeling and representation is significant for efficient storage and retrieval of multimedia. Modeling of semantic video content that enables spatiotemporal queries is one of the challenging tasks. In this paper, we provide a semantic modeling and retrieval system, termed as SMART. We provide a method that helps represent the semantic contents of video such as objects, events, and locations as a grammar based string. This linear string representation enables both the spatial and temporal description of the video. Various types of queries such as event-object-location, event-location, object-location, and event-object are supported by SMART. We show our results on the tennis video database.
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基于语法的语义视频建模和表示
多媒体数据库的建模和表示对多媒体的高效存储和检索具有重要意义。支持时空查询的语义视频内容建模是具有挑战性的任务之一。在本文中,我们提供了一个语义建模和检索系统,称为SMART。我们提供了一种方法,帮助将视频的语义内容(如对象、事件和位置)表示为基于语法的字符串。这种线性字符串表示支持视频的空间和时间描述。SMART支持各种类型的查询,如事件-对象-位置、事件-位置、对象-位置和事件-对象。我们将结果显示在网球视频数据库上。
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