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首页> 外文会议>European Conference on Research and Advanced Technology for Digital Libraries(ECDL 2006); 20060917-22; Alicante(ES) >Design of a Cross-Media Indexing System
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Design of a Cross-Media Indexing System

机译：跨媒体索引系统的设计

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摘要

There is a lack of an integrated technology that will increase effective usage of the vast and heterogeneous multi-lingual and multimedia digital content. The need is being expressed insistently by end-users, and professionals in content business. The EU-IST Framework 6 Reveal-This (R-T) project aims at developing a complete and integrated content programming technology able to capture, semantically index, categorise, multimedia and multilingual digital content, whilst providing search, summarisation and translation functionalities. In order to fulfill this, the project proposes an architectural unit called Cross-Media Indexing Component (CMIC). CMIC leverages the individual potential of each indexing information generated by the analyzers of diverse modalities such as speech, text and image. It hypothesises that a system which combines and cross analyses different high-level modal descriptions of the same audio-visual content will perform better at retrieval and filtering time. The initial prototype utilises the Multiple Evidence approach by establishing links among the modality specific descriptions in order to depict topical similarity in the semantic textual space. This paper gives an overview of the project, CMIC's enrichment approach and its support for retrieval.
机译：缺少一种集成技术，该集成技术将提高对各种巨大的，多种语言和多媒体数字内容的有效利用。最终用户和内容业务专业人士一直坚决表示需要。 EU-IST Framework 6 Reveal-This（R-T）项目旨在开发一种完整的集成内容编程技术，该技术能够捕获语义索引，分类，多媒体和多语言数字内容，同时提供搜索，摘要和翻译功能。为了实现这一目标，该项目提出了一个称为跨媒体索引组件（CMIC）的体系结构单元。 CMIC利用各种形式的分析器（例如语音，文本和图像）生成的每个索引信息的潜力。假设一个组合并交叉分析同一视听内容的不同高级模式描述的系统在检索和过滤时将表现更好。初始原型通过在模态特定描述之间建立链接来利用多重证据方法，以便在语义文本空间中描述主题相似性。本文概述了该项目，CMIC的扩展方法及其对检索的支持。

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