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Research on Theory and Method on Massive Audio Video UnstructuredInformation Intelligent Process in Emergency System

机译:大规模音频视频非结构化信息智能过程理论与方法研究

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摘要

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 audio-visual 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:信息情报服务是当前信息的热门研究领域,作为大规模的信息网络,特别是音频和视频信息具有大量的数据,非结构,高维,分集的语义特征,提出了新的挑战在数据集成,深度挖掘和智能分析中的群众中。传统信息处理方法无法符合国家主要应用。本文首先,我们探讨了视听感知和视觉注意机制的形成机制,研究了显着的视觉和有效提取和预测方法。然后研究与人类对多媒体数据表示模糊的人类感知,媒体数据与交互式视觉媒体信息理论之间的固有连接。最后,我们建立了智能服务体系结构的大规模数据,高效集成和智能分析多媒体非结构化数据。该研究结果可以建立大众信息智能服务平台技术支持系统框架,在许多技术瓶颈中打破了信息智能服务的质量。

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