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ICMCS
2000
IEEE
142views Multimedia» more  ICMCS 2000»
15 years 1 months ago
Incorporate Discriminant Analysis with EM Algorithm in Image Retrieval
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...
Qi Tian, Ying Wu, Thomas S. Huang
VISUAL
2005
Springer
15 years 2 months ago
Compressed Domain Image Retrieval Using JPEG2000 and Gaussian Mixture Models
We describe and compare three probabilistic ways to perform Content Based Image Retrieval (CBIR) in compressed domain using images in JPEG2000 format. Our main focus are arbitrary ...
Alexandra Teynor, Wolfgang Müller, Wolfgang L...
ENGL
2007
168views more  ENGL 2007»
14 years 9 months ago
A Novel Star Field Approach for Shape Indexing in CBIR Systems
—This paper presents a novel hybrid method for content based visual information retrieval (CBIR) that combines shape analysis of objects in image with their automatic indexing by...
Oleg Starostenko, Alberto Chávez-Arag&oacut...
ICMCS
2009
IEEE
142views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Rotation invariant curvelet features for texture image retrieval
Effective texture feature is an essential component in any content based image retrieval system. In the past, spectral features, like Gabor and wavelet, have shown superior retrie...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
HAIS
2010
Springer
15 years 2 months ago
On the Use of a Hybrid Approach to Contrast Endmember Induction Algorithms
Abstract. In remote sensing hyperspectral image processing, identifying the constituent spectra (endmembers) of the materials in the image is a key procedure for further analysis. ...
Miguel A. Veganzones, Carmen Hernández