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AI-STRATA: A User-Centered Model for COntent-Based Description and retrieval of audiovisual sequences

机译:ai-strata:用于基于内容的描述和检索的视听序列的用户中心模型

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We first insist on the need for conceptual and knowledge-based audiovisual models in AV and mutimedia information retrieval systems. We then propose several criteria for characteriing audiovisual representation approaches, and present a new approach for modelingand structuring AV documents with annotations interconnected strata. This consists in analyzing AV documents through analysis dimenisions allowing the detection of objects of interest of any type. Annotations are strutured by annotation elements representing both objects of interest and relationships. A knowledge base is used in order to monitor the annotation process. We show how to use annotations to link different strata on the base of explicit or implicit contexts and how AI-Strata can be used to build contextual views of stratum, using both annotation and knowledge levels. We finally show how the mdoel can efficiently support different description tasks such as indexing, searching and browsing audiovisual material.
机译:我们首先坚持需要在AV和Mutimedia信息检索系统中获得概念和知识的视听模型。然后,我们提出了特征视听代表方法的若干标准,并提出了一种具有带注释互连地层的模型和结构化AV文件的新方法。这包括通过分析的分析来分析AV文件,允许检测任何类型的感兴趣对象。通过代表感兴趣对象和关系的注释元素来支配注释。使用知识库以监视注释过程。我们展示了如何使用注释将不同的地层链接在显式或隐式上下文的基础上以及如何使用AI-STRATA如何使用两个注释和知识级别构建STRATUM的上下文视图。我们终于展示了MDOEL如何有效地支持不同的描述任务,例如索引,搜索和浏览视听材料。

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