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Visualization of a Scale Free Network in a Smartphone-Based Multimedia Big Data Environment

机译:基于智能手机的多媒体大数据环境中无标度网络的可视化

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Smartphones equipped with varieties of sensors enable them in participatory and opportunistic crowd-sourced sensing. The built-in as well as external sensors paired with modern smartphones provide an ideal multimedia big data source, where a very large crowd can share audio, video, text, SMS, location, etc. In this paper, we will illustrate our proposed big data framework that has been storing multimedia data from a very large crowd since September 2014. Our framework uses Scale Free Network (SFN) to represent the dynamics of large crowd and produces visualization metrics by running spatio-temporal queries over the proposed multimedia big data framework.
机译:配备了各种传感器的智能手机使它们能够参与式和机会主义的众包感知。内置传感器和外部传感器与现代智能手机配合使用可提供理想的多媒体大数据源,在这里大量的人可以共享音频,视频,文本,SMS,位置等。在本文中,我们将说明我们建议的大型自2014年9月以来一直在存储来自大量人群的多媒体数据的数据框架。我们的框架使用无标度网络(SFN)来表示大量人群的动态并通过在建议的多媒体大数据框架上运行时空查询来生成可视化指标。

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