Content-Based Indexing and Retrieval of Cultural Heritage Data: An Integrated Approach to Documentation with Application to the EROS

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ConferenceThe 7th International Symposium on Virtual Reality, Archaeology and Cultural Heritage VAST (2006), October 30 - November 4, 2006., Nicosia, Cyprus
AbstractOver the last few decades, Cultural Heritage documentation has been characterized by the massive use of digital media. Recently, the use of three-dimensional scanner technologies has provided us with the opportunity to obtain an unambiguous body of information characterizing the three-dimensional shapes of the artefacts. These vast repositories are now structured in databases, for easy access. Such databases contain not only the artefacts, but also relevant information such as restoration reports, data regarding quantitative analysis, chemical formulae, etc. It follows that storing such information is not enough. Rather, it should be indexed in order to be searched and retrieved easily and rapidly. In addition, the data should be preserved as technologies evolve over time, in order to ensure long-term preservation and access. This paper presents a framework for indexing and retrieval of 2D and 3D Cultural Heritage data. In our approach, novel archiving and indexing techniques, developed by the National Research Council of Canada, are employed. We present the results as applied to the EROS (EuropeanResearch Open System) Database of the C2RMF. This database consists of an impressive collection of scientific and technical data about paintings and artefacts found in all the museums of France. Our results indicate that our content-based approaches are able to accurately index and retrieve diverse images and 3D objects, based on the artefacts as well as their fragments. That is, using for example a fragment of a picture, we are able to retrieve the correct image even in conditions where lighting, orientation and the surroundings of the reference are different. The content-based retrieval system is also able to retrieve different views of the same object, e.g. of a Chalcidian amphora. In addition, our approach is able to find groups of similar images or objects, such as white figurines from the same period or 3D scans of an Anadyomene Venus.
Publication date
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number48792
NPARC number8913337
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Record identifier3cb090aa-ebe8-40ef-b50c-0ec2bf8e89bc
Record created2009-04-22
Record modified2016-05-09
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