Abstract
In recent times, the exponential growth of multimedia retrieval techniques has stimulated interest in the application of these techniques to other alien disciplines. Addressing the challenges raised by such cross-discpline multimedia retrieval engines, in this paper we present a multi-user framework in which complementary resources are exploited to model visual semantics expressed by users. The cross-discpline areas include history of technology and news archives. In the framework presented the query terms generated by historians are first analysed and the extraction of corresponding complementary resources are used to index the multimedia news archives. The experimental evaluation is presented on three semantic queries namely wind mills, solar energy and tidal energy.
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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Fernandez, V., Chandramouli, K., Izquierdo, E. (2010). Exploiting Complementary Resources for Cross-Discipline Multimedia Indexing and Retrieval. In: Daras, P., Ibarra, O.M. (eds) User Centric Media. UCMEDIA 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12630-7_13
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DOI: https://doi.org/10.1007/978-3-642-12630-7_13
Publisher Name: Springer, Berlin, Heidelberg
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