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Converting Video Metadata to Propositional Graphs for Use in an Analogical Reasoning System

机译:将视频元数据转换为命题图以用于类比推理系统

摘要

An automatic approach is described for the semantic analysis and conversion of video annotation metadata (e.g., Video Event Markup Language or “VEML” metadata) to propositional graphs suitable for analysis by an analogical reasoning system (ARS). Also as described herein, a system architecture implements this conversion while maintaining semantic consistency from annotation through results reporting. Further, the techniques herein leverage the same ontology to populate options for an annotation tool, provide the rules for the metadata-to-propositional graph mapping, and provide the basis for comparison in an analogical reasoning algorithm.
机译:描述了一种自动方法,用于将语义注释和视频注释元数据(例如,视频事件标记语言或“ VEML”元数据)转换为适合通过类比推理系统(ARS)分析的命题图。同样如本文所述,系统架构在维持从注释到结果报告的语义一致性的同时,实现了这种转换。此外,本文中的技术利用相同的本体来填充注释工具的选项,为元数据到命题图的映射提供规则,并为类比推理算法中的比较提供基础。

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