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Semantic modeling for video content-based retrieval systems

机译:基于视频内容的检索系统的语义建模

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This work proposes a semantic data model for video documents based on the story-line structure powerful enough to express various human interpretations of video documents, and introduces a formal query language for video retrieval that facilitate retrieval of users' heterogeneous queries based on the proposed model. The paper identifies the elementary semantic units, composite semantic units, associations and abstraction mechanisms necessary for symbolic modeling of semantic video contents. The method is independent on presentation media and it has its origins in symbolic modeling systems developed for database and complex software systems design.
机译:这项工作提出了一种基于足够强大的故事线结构的视频文档的语义数据模型,以表达视频文档的各种人类解释,并引入了用于视频检索的正式查询语言,这促进了基于所提出的模型的用户异构查询。本文识别语义视频内容的符号建模所必需的基本语义单元,复合语义单元,关联和抽象机制。该方法独立于演示介质,它起源于为数据库和复杂的软件系统设计开发的象征性建模系统。

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