Environmental data extraction from multimedia resources

Authors:
Anastasia Moumtzidou;Victor Epitropou;Stefanos Vrochidis;Sascha Voth;Anastasios Bassoukos;Kostas Karatzas;Jürgen Moßgraber;Ioannis Kompatsiaris;Ari Karppinen;Jaakko Kukkonen
Affiliations:
Information Technologies Institute, Thessaloniki, Greece;Aristotle University of Thessaloniki, Thessaloniki, Greece;Information Technologies Institute, Thessaloniki, Greece;3Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany;Aristotle University of Thessaloniki, Thessaloniki, Greece;Aristotle University of Thessaloniki, Thessaloniki, Greece;3Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany;Information Technologies Institute, Thessaloniki, Greece;Finnish Meteorological Institute, Helsinki, Greece;Finnish Meteorological Institute, Helsinki, Greece
Venue:
Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data
Year:
2012

Citing 2
Cited 1

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GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Raster Map Image Analysis

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Multimedia analysis for ecological data

Proceedings of the 20th ACM international conference on Multimedia

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Abstract

Extraction and analysis of environmental information is very important, since it strongly affects everyday life. Nowadays there are already many free services providing environmental information in several formats including multimedia (e.g. map images). Although such presentation formats might be very informative for humans, they complicate the automatic extraction and processing of the underlying data. A characteristic example is the air quality and pollen forecasts, which are usually encoded in image maps, while the initial (numerical) pollutant concentrations remain unavailable. This work proposes a framework for the semi-automatic extraction of such information based on a template configuration tool, on Optical Character Recognition (OCR) techniques and on methodologies for data reconstruction from images. The system is tested with a different air quality and pollen forecast heatmaps demonstrating promising results.