Compressing Web Geodata for Real-Time Environmental Applications

Abstract

Abstract. The advent of connected mobile devices has caused an unprecedented availability of geo-referenced user-generated content, which can be exploited for environment monitoring. In particular, Augmented Reality (AR) mobile applications can be designed to enable citizens collect observations, by overlaying relevant meta-data on their current view. This class of applications rely on multiple meta-data, which must be properly compressed for transmission and real-time usage. This paper presents a two-stage approach for the compression of Digital Elevation Model (DEM) data and geographic entities for a mountain environment monitoring mobile AR application. The proposed method is generic and could be applied to other types of geographical data.

Heterogeneous Information Integration for Mountain Augmented Reality Mobile Apps

“…Object data compression When the data to be cached in the device are sizable, compression may reduce transmission time and storage occupation. For example, DEM data, typically used by mountain AR apps, consist of numerical data in massive quantity, which can be effectively compressed before transmission and caching [2]. The selection of the compression algorithm must evaluate the trade-off between the compression rate and the decompression overhead, which must be acceptable in a mobile app where low response times can be detrimental for the user experience.…”