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. © 2012 Springer-Verlag.
CITATION STYLE
Stegmaier, F., Bürger, T., Döller, M., & Kosch, H. (2011). Knowledge based multimodal result fusion for distributed and heterogeneous multimedia environments: Concept and ideas. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6817 LNCS, pp. 61–73). https://doi.org/10.1007/978-3-642-27169-4_5
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