Abstract
This demonstration paper describes the mobile application developed by the EAGLE project to increase the use and visibility of its epigraphic material. The EAGLE project (European network of Ancient Greek and Latin Epigraphy) is gathering a comprehensive collection of inscriptions (about 80 % of the surviving material) and making it accessible through a user-friendly portal, which supports searching and browsing of the epigraphic material. In order to increase the usefulness and visibility of its content, EAGLE has developed also a mobile application to enable tourists and scholars to obtain detailed information about the inscriptions they are looking at by taking pictures with their smartphones and sending them to the EAGLE portal for recognition. In this demonstration paper we describe the EAGLE mobile application and give an outline of its features and its architecture.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
The EAGLE Project. http://www.eagle-network.eu/
The EAGLE Project, Deliverable D4.1 – Aggregation and Image Retrieval system (AIM) Infrastructure Specification
Gennaro, C., Amato, G., Bolettieri, P., Savino, P.: An approach to content-based image retrieval based on the Lucene search engine library. In: Lalmas, M., Jose, J., Rauber, A., Sebastiani, F., Frommholz, I. (eds.) ECDL 2010. LNCS, vol. 6273, pp. 55–66. Springer, Heidelberg (2010)
Jégou, H., Perronnin, F., Douze, M., Sanchez, J., Perez, P., Schmid, C.: Aggregating local image descriptors into compact codes. IEEE Transactions on Pattern Analysis and Machine Intelligence 34(9), 1704–1716 (2012)
Giuseppe, A., Falchi, F., Gennaro, C.: Geometric consistency checks for kNN based image classification relying on local features. In: Proceedings of the Fourth International Conference on SImilarity Search and APplications, pp. 81–88. ACM (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Bolettieri, P. et al. (2015). Searching the EAGLE Epigraphic Material Through Image Recognition via a Mobile Device. In: Amato, G., Connor, R., Falchi, F., Gennaro, C. (eds) Similarity Search and Applications. SISAP 2015. Lecture Notes in Computer Science(), vol 9371. Springer, Cham. https://doi.org/10.1007/978-3-319-25087-8_35
Download citation
DOI: https://doi.org/10.1007/978-3-319-25087-8_35
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25086-1
Online ISBN: 978-3-319-25087-8
eBook Packages: Computer ScienceComputer Science (R0)