Combining Global and Local Information for Knowledge-Assisted Image Analysis and Classification

Combining Global and Local Information for Knowledge-Assisted Image Analysis and Classification

A learning approach to knowledge-assisted image analysis and classification is proposed that combines global and local information with explicitly defined knowledge in the form of an ontology. The ontology specifies the domain of interest, its subdomains, the concepts related to each subdomain as we...

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Bibliographic Details
Main Authors:	M. G. Strintzis, I. Kompatsiaris, V. Mezaris, G. Th. Papadopoulos
Format:	Article
Language:	English
Published:	SpringerOpen 2007-01-01
Series:	EURASIP Journal on Advances in Signal Processing
Online Access:	http://dx.doi.org/10.1155/2007/45842

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