A Learning State-Space Model for Image Retrieval

This paper proposes an approach based on a state-space model for learning the user concepts in image retrieval. We first design a scheme of region-based image representation based on concept units, which are integrated with different types of feature spaces and with different region scales of image...

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Bibliographic Details
Main Authors: Greg C. Lee, Yi-Ping Hung, Cheng-Chieh Chiang
Format: Article
Language:English
Published: SpringerOpen 2007-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2007/83526