The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XL-4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4, 75–80, 2014
https://doi.org/10.5194/isprsarchives-XL-4-75-2014
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4, 75–80, 2014
https://doi.org/10.5194/isprsarchives-XL-4-75-2014

  23 Apr 2014

23 Apr 2014

Geographic Video 3d Data Model And Retrieval

Z. Han1,2, C. Cui2, Y. Kong1,2, and H. Wu2 Z. Han et al.
  • 1Key Laboratory of Geospatial Technology For the Middle and Lower Yellow River Regions, Ministry of Education, Kaifeng, China
  • 2College of Environmental & Planning, Henan University, Kaifeng, China

Keywords: Geographic Video, Data Model, 3D, GIS, Data Retrieval

Abstract. Geographic video includes both spatial and temporal geographic features acquired through ground-based or non-ground-based cameras. With the popularity of video capture devices such as smartphones, the volume of user-generated geographic video clips has grown significantly and the trend of this growth is quickly accelerating. Such a massive and increasing volume poses a major challenge to efficient video management and query. Most of the today’s video management and query techniques are based on signal level content extraction. They are not able to fully utilize the geographic information of the videos. This paper aimed to introduce a geographic video 3D data model based on spatial information. The main idea of the model is to utilize the location, trajectory and azimuth information acquired by sensors such as GPS receivers and 3D electronic compasses in conjunction with video contents. The raw spatial information is synthesized to point, line, polygon and solid according to the camcorder parameters such as focal length and angle of view. With the video segment and video frame, we defined the three categories geometry object using the geometry model of OGC Simple Features Specification for SQL. We can query video through computing the spatial relation between query objects and three categories geometry object such as VFLocation, VSTrajectory, VSFOView and VFFovCone etc. We designed the query methods using the structured query language (SQL) in detail. The experiment indicate that the model is a multiple objective, integration, loosely coupled, flexible and extensible data model for the management of geographic stereo video.