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Research on theory and method on massive audio video unstructured information intelligent process in emergency system

机译:应急系统中海量视听非结构化信息智能过程的理论与方法研究

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Mass of information intelligence services are a hot research field of current information, As the massive network of information, particularly audio and video information has a huge amount of data, non-structural, high dimension, semantic feature of diversity, putting forward a new challenge in the mass of information in data integration, deep mining and intelligence analysis. Traditional information processing methods can not meet the major national applications. In this paper, firstly, we explore the formation mechanism of audiovisual perception and visual attention mechanism and study a significant degree of visual and efficient extraction and prediction method. And then research the consistent with human perception of multi-media data representation ambiguity, the inherent connection between the media data and interactive visual media information theory. Finally, we establish intelligent services architecture oriented massive data, efficient integration and intelligence analysis of multimedia unstructured data. This research results can build mass information intelligent service platform technical support system framework, breaking the mass of information intelligence services in a number of technical bottleneck.
机译:信息情报服务的大规模化是当前信息研究的热点领域,由于海量信息网络,特别是音视频信息具有海量数据量,非结构化,高维度,语义多样性等特点,提出了新的挑战。在数据集成,深度挖掘和情报分析方面的大量信息。传统的信息处理方法不能满足主要的国家应用。本文首先探讨了视听知觉和视觉注意机制的形成机理,研究了显着程度的视听和有效的提取和预测方法。然后研究了符合人类感知的多媒体数据表示歧​​义,媒体数据与交互式视觉媒体信息理论之间的内在联系。最后,我们建立了面向海量数据的智能服务体系结构,对多媒体非结构化数据进行了有效的集成和智能分析。这项研究成果可以构建海量信息智能服务平台技术支持系统框架,打破海量信息智能服务中的许多技术瓶颈。

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