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Design and Implementation of a Cross-Media Indexing System for the Reveal-This System

机译:揭示 - 这个系统的跨媒索引系统的设计与实现

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Despite the vast growth of heterogeneous, multimedia and increasingly multi-lingual digital content, there is a lack of integrated technology that facilitates its effective usage. The need is being expressed insistently by end-users, and professionals in content business, particularly, with respect to the re-use and re-purposing of multimedia content. The EU-IST Reveal-This (R-T) project addresses this fundamental need aiming at developing an umbrella technology able to provide retrieval, categorisation, summarisation and translation functionalities that will help users keep up with the explosion of digital content. The system is being developed to cope with digital content that is scattered over different platforms, different languages and different types of media. In order to effectively achieve this vision, the project sets the following two key technical and scientific objectives: I) benefit from cross-media analysis and indexing techniques and 2) develop representations suitable for cross-media and language technologies that can extend the potential of content push and pull technologies. Research carried out in the project attempts to address all these issues. Inline with the objectives and central to the project, we propose an architectural unit called Cross-Media Indexing Component (CMIC) which constitutes the final layer of the Cross-Media Analysis and Indexing Subsystem. It is employed to cross analyse and leverage the individual potential of each indexing information generated by the analyzers of diverse modalities. In this paper, we focus on CMIC's role and its support for retrieval. The indexing and evaluation approaches are presented together with the status of work in progress.
机译:尽管异类,多媒体越来越多语种数字内容的巨大增长,但缺乏整合技术,促进其有效使用的。需要的是正在内容业务执意表示由最终用户,和专业人士,特别是关于再利用和多媒体内容,再重新考虑。欧盟IST显示,这(R-T)项目解决了这一基本需求,旨在开发一种伞技术能够提供检索,分类,概要和翻译功能,将帮助用户跟上数字内容的爆炸。该系统正在开发,以应对被分散在不同的平台,不同的语言和不同类型的媒体数字内容。为了有效地实现这一愿景,项目设置以下两个关键技术和科学目标:1)从跨媒体的分析和索引技术的好处和2)开发适合跨媒体和语言技术表示可以扩展的潜力内容推拉技术。研究项目试图进行解决所有这些问题。内嵌的目标和中央的项目,我们提出了所谓的跨媒体索引组件(CMIC)建筑单元构成跨媒体分析的最后一层和索引子系统。它被用来交叉分析和利用的由不同模态的分析仪产生的每个索引信息的个体的潜力。在本文中,我们专注于CMIC的作用及其对检索的支持。索引和评价方法与正在进行的工作的状态呈现在一起。

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