基于MPEG7的下一代数据融合开源智能(OSINT)系统

M. Pfeiffer, M. Ávila, G. Backfried, N. Pfannerer, J. Riedler
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引用次数: 5

摘要

我们描述了Sail Labs媒体挖掘系统,该系统能够处理通常从开放资源中以非结构化形式收集的大量数据。数据由一组组件处理,并以MPEG7格式输出。输入的来源和种类可能是多种多样的,如一组监视电视台的卫星接收器,或来自网页或rss提要的文本输入。分析输入的音频、视频和文本内容的一系列处理步骤被执行。结果输出可用于下一代媒体挖掘服务器的搜索和检索、分析和可视化。使用该系统是基于网络的;该系统可以作为一个跨开放、封闭或安全网络的搜索平台。数据也可以提取和输出,从而在气隙网络中提供。媒体挖掘系统可作为态势感知、信息共享和风险评估的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Next Generation Data Fusion Open Source Intelligence (OSINT) System Based on MPEG7
We describe the Sail Labs Media Mining System which is capable of processing vast amounts of data typically gathered from open sources in unstructured form. The data are processed by a set of components and the output is produced in MPEG7 format. The origin and kind of input may be as diverse as a set of satellite receivers monitoring TV stations or textual input from web-pages or RSS-feeds. A sequence of processing steps analyzing the audio, video and textual content of the input is carried out. The resulting output is made available for search and retrieval, analysis and visualization on a next generation Media Mining Server. Access to the system is web-based; the system can serve as a search platform across open, closed or secured networks. Data may also be extracted and exported and thus be made available in airgap networks. The Media Mining System can be used as a tool for situational awareness, information sharing and risk assessment.
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