视频语义标注框架

P. Natarajan, R. Nevatia
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引用次数: 29

摘要

多媒体数据的语义注释需要用于各种任务,例如基于内容的数据库索引,以及对环境中发生的活动进行推断。本文提出了一个顶层本体,它为描述视频中的语义特征提供了一个框架。首先,我们确定语义描述的关键组件,如对象和事件,以及如何从它们开发特定领域的本体。其次,我们提出了一组用于组合事件和描述事件/实体之间各种时空关系的谓词。第三,我们开发了一种基于已开发本体的推理方案,利用关系代数从简单事件推断出复杂事件。最后,我们通过为特定领域开发本体来演示我们的框架的实用性。最后,我们分析了该领域中模拟事件的推理机制的性能。
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EDF: A framework for Semantic Annotation of Video
Semantic annotation of multimedia data is needed for various tasks like content based indexing of databases and also for making inferences about the activities taking place in the environment. In this paper, we present a top level ontology which provides a framework for describing the semantic features in video. We do this in three steps - First, we identify the key components of semantic descriptions like objects and events and how domain specific ontologies can be developed from them. Second, we present a set of predicates for composing events and for describing various spatio-temporal relationships between events/entities. Third, we develop a scheme for reasoning with the developed ontologies to infer complex events from simple events using relational algebra. Finally, we have demonstrated the utility of our framework by developing an ontology for a specific domain. We conclude by analyzing the performance of the reasoning mechanism with simulated events in this domain.
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