Abstract
In the framework of digital archiving of multimedia content different scientific fields such as database management systems, processing and analysis of multimedia data, as well as artificial and computational intelligence methods, have observed a close cooperation with each other during the last few years. The attempt has been to develop intelligent and efficient human computer interaction systems, enabling the user to access vast amounts of heterogeneous information, stored in different sites and archives. The focus of technological attempts has been on the analysis of digital video, due to its large amounts of spatiotemporal interrelations, which turns it into the most demanding and complex data structure. Video understanding and semantic information extraction have been identified as important steps towards more efficient manipulation of visual media. Attaching metadata to the original content is the means for achieving this goal.
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Wallace, M., Mylonas, P., Akrivas, G., Avrithis, Y., Kollias, S. (2006). Automatic Thematic Categorization of Multimedia Documents using Ontological Information and Fuzzy Algebra. In: Ma, Z. (eds) Soft Computing in Ontologies and Semantic Web. Studies in Fuzziness and Soft Computing, vol 204. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-33473-6_10
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DOI: https://doi.org/10.1007/978-3-540-33473-6_10
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