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.
This work was partially funded by the CHEST FP7 project of the European Commission.
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Trial-and-error experiments proved that increasing the number of neighbors for the average calculation decreases the total compression rate.
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Cavallaro, C., Fedorov, R., Bernaschina, C., Fraternali, P. (2016). Compressing Web Geodata for Real-Time Environmental Applications. In: Satsiou, A., et al. Collective Online Platforms for Financial and Environmental Awareness. IFIN ISEM 2016 2016. Lecture Notes in Computer Science(), vol 10078. Springer, Cham. https://doi.org/10.1007/978-3-319-50237-3_5
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