Proceedings of the 2001 conference on Virtual reality, archeology, and cultural heritage
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
OVerFA: a collaborative framework for the semantic annotation of documents and websites
International Journal of Web and Grid Services
Distributed Agents Network for Ubiquitous Monitoring and Services Exploitation
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 02
The EPOCH multimodal interface for interacting with digital heritage artefacts
VSMM'06 Proceedings of the 12th international conference on Interactive Technologies and Sociotechnical Systems
Semantically Augmented Exploitation of Pervasive Environments by Intelligent Agents
ISPA '12 Proceedings of the 2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications
Reality filtering: a visual time machine in augmented reality
VAST'08 Proceedings of the 9th International conference on Virtual Reality, Archaeology and Cultural Heritage
Mobile devices for the visit of "anfiteatro campano" in Santa Maria capua vetere
EuroMed'12 Proceedings of the 4th international conference on Progress in Cultural Heritage Preservation
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Cultural heritage often fails to represent a successful attraction because it is not able to capture the interest of tourists. Sometimes the presentation of an archaeological site cannot be improved because of legal or environmental constraints. Sometimes it is really difficult to recognize the relevant details or to understand its significance. A new way of exploiting archaeological sites in a more informative and intuitive way is needed. It is necessary to provide people with information and contents, for understanding the world around them, and with the possibility to interact with those places or objects in real time. Image recognition and analysis is a promising technology that can be applied in this field. In this paper we use in indoor, but also in outdoor scenarios, image recognition for the content discovery service. In particular search by sample facilities are speed-up and improved using a position based filtering. Moreover it is used to extract semantic from subjects in order to personalize the discovery and recommendation according to the user's profile.