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ISPRS Int. J. Geo-Inf. 2017, 6(11), 333;

Surveillance Video Synopsis in GIS

1,2,3,* , 1,2,3,* and 1,2,3
Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing 210023, China
State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing 210023, China
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
Authors to whom correspondence should be addressed.
Received: 14 August 2017 / Revised: 23 October 2017 / Accepted: 26 October 2017 / Published: 31 October 2017
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Surveillance videos contain a considerable amount of data, wherein interesting information to the user is sparsely distributed. Researchers construct video synopsis that contain key information extracted from a surveillance video for efficient browsing and analysis. Geospatial–temporal information of a surveillance video plays an important role in the efficient description of video content. Meanwhile, current approaches of video synopsis lack the introduction and analysis of geospatial-temporal information. Owing to the preceding problems mentioned, this paper proposes an approach called “surveillance video synopsis in GIS”. Based on an integration model of video moving objects and GIS, the virtual visual field and the expression model of the moving object are constructed by spatially locating and clustering the trajectory of the moving object. The subgraphs of the moving object are reconstructed frame by frame in a virtual scene. Results show that the approach described in this paper comprehensively analyzed and created fusion expression patterns between video dynamic information and geospatial–temporal information in GIS and reduced the playback time of video content. View Full-Text
Keywords: GIS; geovideo; VideoGIS; surveillance video; video synopsis GIS; geovideo; VideoGIS; surveillance video; video synopsis

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Xie, Y.; Wang, M.; Liu, X.; Wu, Y. Surveillance Video Synopsis in GIS. ISPRS Int. J. Geo-Inf. 2017, 6, 333.

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