A gaussian-fuzzy content feature recognition system for digital media asset objects

Authors:
Sanxing Cao;Rui Lu
Affiliations:
School of Computer Science and Software, Communication University of China, Beijing, P.R. China;School of Computer Science and Software, Communication University of China, Beijing, P.R. China
Venue:
ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization
Year:
2004

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Abstract

One of the key issues within the research of Media Assets is the description and intelligent recognition of content-based features. Upon the basis of massive fundamental research, we present in this paper a configurable content description and recognition model based on a Gaussian-Fuzzy membership system. Multiple and partial memberships and compatibility for various algorithms are supported in this architecture.