Geo-Spatial Hypermedia based on Augmented Reality

Abstract

In order to produce convincing geographic information, it is not only necessary to provide real-world videos according to the user’s geographic locations but also non-spatial data in the videos. We present a novel approach for efficient linking heterogeneous data of the same objective nature, such as 2D maps, 3D virtual environments and videos with GPS data. Our approach is motivated by the observation that we can get the non-spatial data in a video by transforming the video search space into the 3D virtual world search space which contain the non-spatial attributes according to the remotely sensed GPS data. Our proposed system consists of two primary components: a client layer that implements the augmentation algorithm for geo-spatial video in exploiting server resources, and a server layer designed to provide the non-spatial attributes according to the client’s requests. To implement attribute query in a video, we present an easily implementable data model that serves well as a foundation for point query in 2D. In order to apply this to telematics applications such as car navigation systems, we propose a live-video processing method using augmented reality technology according to the user’s locations along navigation path. Experimental results demonstrate that our approach is effective in retrieving geospatial video clips and nonspatial data.