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M-OntoMat-Annotizer: Image Annotation Linking Ontologies and Multimedia Low-Level Features

机译:M-OntoMat-Annotizer:图像注释链接本体和多媒体底层功能

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Annotations of multimedia documents typically have been pursued in two different directions. Either previous approaches have focused on low level descriptors, such as dominant color, or they have focused on the content dimension and corresponding annotations, such as person or vehicle. In this paper, we present a software environment to bridge between the two directions. M-OntoMat-Annotizer allows for linking low level MPEG-7 visual descriptions to conventional Semantic Web ontologies and annotations. We use M-OntoMat-Annotizer in order to construct ontologies that include prototypical instances of high-level domain concepts together with a formal specification of corresponding visual descriptors. Thus, we formalize the interrelationship of high- and low-level multimedia concept descriptions allowing for new kinds of multimedia content analysis, reasoning and retrieval.
机译:多媒体文档的注释通常沿两个不同的方向进行。先前的方法要么专注于低级描述符(例如主导色),要么专注于内容维度和相应的注释(例如人或车辆)。在本文中,我们提出了一个在两个方向之间架起桥梁的软件环境。 M-OntoMat-Annotizer允许将低级MPEG-7视觉描述链接到常规语义Web本体和注释。我们使用M-OntoMat-Annotizer来构建包含高级领域概念的原型实例以及相应视觉描述符的正式规范的本体。因此,我们形式化了高层和低层多媒体概念描述的相互关系,从而可以进行新型的多媒体内容分析,推理和检索。

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