Abstract
Nowadays the retrieval of multimedia assets is mainly performed by text-based retrieval systems with powerful and stable indexing mechanisms. Migration from those systems to content-aware multimedia retrieval systems is a common aim for companies from very diverse sectors. In this paper we present a semantic middleware designed to achieve a seamless integration with existing systems. This middleware outsources the semantic functionalities (e.g. knowledge extraction, semantic query expansion,…) that are not covered by traditional systems, thereby allowing the use of complementary content-based techniques. We include a list of key criteria to successfully deploy this middleware, which provides semantic support to many different steps of the retrieval process. Both the middleware and the design criteria are validated by two real complementary deployments in two very different industrial domains.
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Notes
Fast ESP Search Engine web site http://www.microsoft.com/enterprisesearch/en/us/Fast.aspx.
WIDE project(IST-2001-34417) http://www.ist-wide.info.
RUSHES project(FP6-045189) http://www.rushes-project.eu.
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Acknowledgments
We would like to thank Professor Ray Larson of the University of California and the Image group of the National University of Athens for so generously sharing their work with us. We also would like to thank the European Commission for co-funding this work and to the engineers of the Basque Television (ETB), Italdesign, FAST and Schenck for their kind support.
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Communicated by B. Prabhakaran.
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Marcos, G., Illarramendi, A., Olaizola, I.G. et al. A middleware to enhance current multimedia retrieval systems with content-based functionalities. Multimedia Systems 17, 149–164 (2011). https://doi.org/10.1007/s00530-010-0217-6
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DOI: https://doi.org/10.1007/s00530-010-0217-6