Abstract
Distributed multimedia retrieval (DMR) is a key issue in today’s information systems. One problem in DMR is the fusion of results retrieved from multiple locations, which is required in order to present the results in an integrated, consolidated and aligned form. This paper sketches a distributed multimedia retrieval scenario in which requirements, a conceptualization and an implementation of a knowledge-based data fusion approach is proposed. The approach is to be used together with the MPEG Query Format and is supported by benchmarks and classifications to derive knowledge used in result fusion.
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Stegmaier, F., Bürger, T., Döller, M., Kosch, H. (2011). Knowledge Based Multimodal Result Fusion for Distributed and Heterogeneous Multimedia Environments: Concept and Ideas. In: Detyniecki, M., Knees, P., Nürnberger, A., Schedl, M., Stober, S. (eds) Adaptive Multimedia Retrieval. Context, Exploration, and Fusion. AMR 2010. Lecture Notes in Computer Science, vol 6817. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27169-4_5
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DOI: https://doi.org/10.1007/978-3-642-27169-4_5
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