Region-Based Image Retrieval Using an Object Ontology and Relevance Feedback

Region-Based Image Retrieval Using an Object Ontology and Relevance Feedback

<p/> <p>An image retrieval methodology suited for search in large collections of heterogeneous images is presented. The proposed approach employs a fully unsupervised segmentation algorithm to divide images into regions and endow the indexing and retrieval system with content-based funct...

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Bibliographic Details
Main Authors: Kompatsiaris Ioannis, Mezaris Vasileios, Strintzis Michael G
Format: Article
Language:English
Published: SpringerOpen 2004-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
image retrieval
image databases
image segmentation
ontology
relevance feedback
support vector machines
Online Access:http://dx.doi.org/10.1155/S1110865704401188

Internet

http://dx.doi.org/10.1155/S1110865704401188

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