NDLI: AN ADAPTIVE ORGANIZATION METHOD OF GEOVIDEO DATA FOR SPATIO-TEMPORAL ASSOCIATION ANALYSIS

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AN ADAPTIVE ORGANIZATION METHOD OF GEOVIDEO DATA FOR SPATIO-TEMPORAL ASSOCIATION ANALYSIS

Content Provider	Scilit
Author	Wu, C. Zhu, Q. Zhang, Y. T. Du, Z. Q. Zhou, Y. Xie, X. He, F.
Copyright Year	2015
Description	Public security incidents have been increasingly challenging to address with their new features, including large-scale mobility, multi-stage dynamic evolution, spatio-temporal concurrency and uncertainty in the complex urban environment, which require spatio-temporal association analysis among multiple regional video data for global cognition. However, the existing video data organizational methods that view video as a property of the spatial object or position in space dissever the spatio-temporal relationship of scattered video shots captured from multiple video channels, limit the query functions on interactive retrieval between a camera and its video clips and hinder the comprehensive management of event-related scattered video shots. GeoVideo, which maps video frames onto a geographic space, is a new approach to represent the geographic world, promote security monitoring in a spatial perspective and provide a highly feasible solution to this problem. This paper analyzes the large-scale personnel mobility in public safety events and proposes a multi-level, event-related organization method with massive GeoVideo data by spatio-temporal trajectory. This paper designs a unified object identify(ID) structure to implicitly store the spatio-temporal relationship of scattered video clips and support the distributed storage management of massive cases. Finally, the validity and feasibility of this method are demonstrated through suspect tracking experiments.
Ending Page	34
Page Count	6
Starting Page	29
e-ISSN	21949050
DOI	10.5194/isprsannals-ii-4-w2-29-2015
Journal	ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume Number	II-4/W2
Language	English
Publisher	Copernicus GmbH
Publisher Date	2015-07-10
Access Restriction	Open
Subject Keyword	Cybernetical Science Organization Method Data By Spatio Geovideo Data FOR Spatio Temporal
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Environmental Science Instrumentation

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