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An Approach for Conceptual Modeling and Extracting Expressive Semantics from Dance Videos

机译:一种从舞蹈视频中提取表达语义的概念建模方法

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Due to the high complexity and exponential growth of videos, video data management tasks, such as understanding and annotating semantic content, are very difficult to be accomplished. Dance videos are one such critical domain. Considering the various dance components, understanding their semantic content conceptually, extracting the expressive semantics, annotating them properly and storing the annotations in a suitable medium for future reuse and analysis, are the essential tasks for the next generation dance systems. This paper presents a conceptual multimedia data model based on Protocol Analysis, called Video Semantics Directed Acyclic Graph (VSDAG) model. The expressive semantic content, represented by VSDAG model, is extracted from the video by a unique video annotation system. The generated annotations are stored in a XML compliant structure.
机译:由于视频的高度复杂性和指数级增长,非常难以完成视频数据管理任务,例如理解和注释语义内容。舞蹈视频就是这样的关键领域之一。考虑到各种舞蹈组件,从概念上理解它们的语义内容,提取表达性语义,对其进行正确注释并将注释存储在适当的介质中,以备将来重用和分析,这是下一代舞蹈系统的基本任务。本文提出了一种基于协议分析的概念性多媒体数据模型,称为视频语义有向无环图(VSDAG)模型。由VSDAG模型表示的表达性语义内容是通过独特的视频注释系统从视频中提取的。生成的注释存储在XML兼容结构中。

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