首页> 外文期刊>International journal of uncertainty, fuzziness and knowledge-based systems >A FUZZY CONCEPTUAL MODEL FOR MULTIMEDIA DATA WITH A TEXT-BASED AUTOMATIC ANNOTATION SCHEME
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A FUZZY CONCEPTUAL MODEL FOR MULTIMEDIA DATA WITH A TEXT-BASED AUTOMATIC ANNOTATION SCHEME

机译:基于文本自动标注方案的多媒体数据模糊概念模型

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摘要

The size of multimedia data is increasing fast due to the abundance of multimedia applications. Modeling the semantics of the data effectively is crucial for proper management of it. In this paper, we present a fuzzy conceptual data model for multimedia data which is also generic in the sense that it can be adapted to all multimedia domains. The model takes an object-oriented approach and it handles fuzziness at different representation levels where fuzziness is inherent in multimedia applications and should be properly modeled. The proposed model also has the nice feature of representing the structural hierarchy of multimedia data as well as the spatial and temporal relations of the data. The model is applied to the news video domain and implemented as a fuzzy multimedia database system where it turns out to be effective in representing the domain and thereby provides an evidence for the general applicability of the model. The model is accompanied by an automatic multimedia annotation scheme which makes use of information extraction techniques on the corresponding multimedia texts.
机译:由于多媒体应用的丰富,多媒体数据的大小正在迅速增加。有效地对数据的语义进行建模对于正确管理数据至关重要。在本文中,我们提出了一种多媒体数据的模糊概念数据模型,该模型在可以适应所有多媒体领域的意义上也是通用的。该模型采用面向对象的方法,并在不同的表示级别上处理模糊性,其中模糊性是多媒体应用程序固有的,应正确建模。所提出的模型还具有代表多媒体数据的结构层次以及数据的时空关系的良好特征。该模型被应用到新闻视频领域,并被实现为模糊多媒体数据库系统,在该系统中它可以有效地表示领域,从而为模型的普遍适用性提供了证据。该模型随附有自动多媒体注释方案,该方案利用了相应多媒体文本上的信息提取技术。

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