Spatial video and GIS

Lewis, Paul; Fotheringham, Stewart; Winstanley, Adam C.

doi:10.1080/13658816.2010.505196

Cited by 54 publications

(38 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The 2d viewpoint spatial database was designed with seven relational table schemas, and the interpolation, matching and drift of GPS location was analyzed. Finally, the video retrieval methods based on 2d viewpoint database were discussed, and the spatial video player was developed (P. Lewis, 2009; P. Lewis, Fotheringham, & Winstanley, 2011). Terrasa Navarrete discussed the semantic integration problems of thematic geographic information in multimedia context based on ontology.…”

Section: Video Retrieval Methods Based On Geographic Informationmentioning

confidence: 99%

Geographic Video 3d Data Model And Retrieval

Han

Cui

Kong

et al. 2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Commission VI, WG VI/4KEY WORDS: 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.

show abstract

Section: Video Retrieval Methods Based On Geographic Informationmentioning

confidence: 99%

Geographic Video 3d Data Model And Retrieval

Han

Cui

Kong

et al. 2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…In recent years, other mapping methods have been reported. Lewis et al [20] used a perspective projection model to simulate the video and GIS mapping process. Milosavljević et al [7] adopted a reverse process by back projecting the position-determined objects onto the video image.…”

Section: Integration Of Gis and Moving Objectsmentioning

confidence: 99%

Integration of GIS and Moving Objects in Surveillance Video

Xie

Wang

Liu

et al. 2017

IJGI

View full text Add to dashboard Cite

This paper discusses the integration of a geographic information system (GIS) and moving objects in surveillance videos ("moving objects" hereinafter) by using motion detection, spatial mapping, and fusion representation techniques. This integration aims to overcome the limitations of conventional video surveillance systems, such as low efficiency in video searching, redundancy in video data transmission, and insufficient capability to position video content in geographic space. Furthermore, a model for integrating GIS and moving objects is established. The model includes a moving object extraction method and a fusion pattern for GIS and moving objects. From the established integration model, a prototype of GIS and moving objects (GIS-MOV) system is constructed and used to analyze the possible applications of the integration of GIS and moving objects.

show abstract

“…The potential of spatial video, which represents geographically referenced videographic data, as an additional data type within GIS was considered by Lewis et al [5], whose work focused on representing video frames using Viewpoint data structures to enable video geospatial analysis. Georeferencing video is, in many ways, equivalent to camera pose estimation for outdoor augmented reality.…”

Section: Introductionmentioning

confidence: 99%