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This ICC paper is the Open Access version, provided by the Computer Vision Foundation. Except for this watermark, it is identical to the accepted version; the final published version of the proceedings
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Multiscale representation for real-time refers to a method of capturing and processing data at various scales simultaneously to enable timely analysis and decision-making. It combines data from different sources and resolutions to provide a comprehensive view of a situation in real-time.
Typically, organizations dealing with data collection and analysis in sectors such as environmental monitoring, urban planning, or public health are required to file multiscale representation for real-time. Specific requirements may depend on local regulations and the nature of the data being processed.
To fill out multiscale representation for real-time, one should gather relevant data across different scales, ensure it is formatted according to the regulatory guidelines, input necessary details in designated sections of the report, and submit it through the appropriate channels by the deadline.
The purpose of multiscale representation for real-time is to enhance situational awareness and facilitate informed decision-making by providing a holistic view of data across various scales, thus enabling faster responses to emerging issues.
Reported information typically includes the data source, the scale of data collection, time stamps, contextual details for the data, analysis results, and any relevant metadata that supports the findings.
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