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A semantic-based and adaptive architecture for automatic multimedia retrieval composition

机译:基于语义的自适应多媒体自动检索构架

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In this paper we present a domain-independent multimedia retrieval (MMR) platform. Currently, the use of MMR systems for different domains poses several limitations, mainly related to the poor flexibility and adaptability to different domains and user requirements. A semantic-based platform that uses ontologies for describing not only the application domain but also the processing workflow to be followed for the retrieval, according to user''s requirements and domain characteristics is here proposed. In detail, an ontological model (domain-processing ontology) that integrates domain peculiarities and processing algorithms allows self-adaptation of the retrieval mechanism to the specified application domain. According to the instances generated for each user request, our platform generates the appropriate interface (GUI) for the specified application domain (e.g. music, sport video, medical images, etc…) by a procedure guided by the defined domain-processing ontology. A use case on content based music retrieval is here presented in order to show how the proposed platform also facilitates the process of multimedia retrieval system implementation.
机译:在本文中,我们提出了一种独立于域的多媒体检索(MMR)平台。当前,将MMR系统用于不同领域存在若干限制,这主要与差的灵活性以及对不同领域和用户需求的适应性有关。本文提出了一个基于语义的平台,该平台根据用户的需求和域特征,不仅使用本体来描述应用程序域,而且还描​​述了检索所要遵循的处理工作流程。详细地讲,集成了域特性和处理算法的本体模型(域处理本体)允许将检索机制自适应地适应指定的应用程序域。根据为每个用户请求生成的实例,我们的平台通过定义的域处理本体指导的过程为指定的应用程序域(例如音乐,体育视频,医学图像等)生成适当的接口(GUI)。这里展示了一个基于内容的音乐检索的用例,以展示所提出的平台还如何促进多媒体检索系统的实现过程。

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