Title: Complexity control in semantic identification

Authors: Manolis Falelakis, Christos A. Diou, Anastasios Delopoulos

Addresses: Multimedia Understanding Group, Information Processing Laboratory, Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Greece. ' Multimedia Understanding Group, Information Processing Laboratory, Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Greece. ' Multimedia Understanding Group, Information Processing Laboratory, Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Greece

Abstract: This work introduces an efficient scheme for identifying semantic entities within multimedia data sets, providing mechanisms for modelling the trade-off between the accuracy of the result and the entailed computational cost. Semantic entities are described through formal definitions based on lower-level semantic and/or syntactic features. Based on appropriate metrics, the paper presents a methodology for selecting optimal subsets of syntactic features to extract, so that satisfactory results are obtained, while complexity remains below some required limit.

Keywords: semantic identification; multimedia databases; fuzzy inference; fuzzy knowledge bases; complexity control; uncertainty.

DOI: 10.1504/IJISTA.2006.009907

International Journal of Intelligent Systems Technologies and Applications, 2006 Vol.1 No.3/4, pp.247 - 262

Published online: 01 Jun 2006 *

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