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CIVR
2004
Springer
213views Image Analysis» more  CIVR 2004»
14 years 28 days ago
Evaluation of Texture Features for Content-Based Image Retrieval
Abstract. We have carried out a detailed evaluation of the use of texture features in a query-by-example approach to image retrieval. We used 3 radically different texture feature...
Peter Howarth, Stefan M. Rüger
ISM
2008
IEEE
108views Multimedia» more  ISM 2008»
14 years 1 months ago
Optimization of Content-Based Image Retrieval Functions
Feature extraction and similarity measurement are two important operations in content-based image retrieval systems. We optimize and vectorize typical feature extraction algorithm...
Asadollah Shahbahrami, Ben H. H. Juurlink
ICMCS
2007
IEEE
180views Multimedia» more  ICMCS 2007»
13 years 7 months ago
Content-Based Image Categorization and Retrieval using Neural Networks
We propose a neural network based method for organizing images for content-based image retrieval. We use spectral histogram features, the histograms of filtered images to capture...
Yuhua Zhu, Xiuwen Liu, Washington Mio
IR
2000
13 years 7 months ago
Content-Based Image Retrieval in Astronomy
Content-based image retrieval in astronomy needs methods that can deal with an image content made of noisy and diffuse structures. This motivates investigations on how information ...
André Csillaghy, Hans Hinterberger, A. O. B...
ICMCS
2007
IEEE
149views Multimedia» more  ICMCS 2007»
14 years 1 months ago
An Empirical Study on Large-Scale Content-Based Image Retrieval
One key challenge in content-based image retrieval (CBIR) is to develop a fast solution for indexing high-dimensional image contents, which is crucial to building large-scale CBIR...
Yuk Man Wong, Chu-Hong Hoi, Michael R. Lyu