Researches on Hierarchical Image Retrieval Model Based on Wavelet Descriptor and Indexed by Half-Axes-Angle using R-Tree

2006 ◽  
Author(s):  
Hui-min Zhang ◽  
Qing-hai Wang ◽  
You-xun Kan ◽  
Jun-hui Liu ◽  
Yao-wan Gong
Keyword(s):  
Image Retrieval ◽  
Retrieval Model ◽  
Model Based ◽  
Wavelet Descriptor

Image retrieval model based on weighted visual features determined by relevance feedback

2008 ◽  
Vol 178 (22) ◽  
pp. 4301-4313 ◽  
Author(s):  
Woo-Cheol Kim ◽  
Ji-Young Song ◽  
Seung-Woo Kim ◽  
Sanghyun Park
Keyword(s):  
Image Retrieval ◽  
Relevance Feedback ◽  
Visual Features ◽  
Retrieval Model ◽  
Model Based

An Image Retrieval Model Based on Local Fisher Discriminant Analysis

2011 ◽  
Vol 255-260 ◽  
pp. 2057-2061
Author(s):  
Yong Mao Wang
Keyword(s):  
Discriminant Analysis ◽  
Dimensionality Reduction ◽  
Image Retrieval ◽  
Texture Features ◽  
Retrieval Model ◽  
Fisher Discriminant Analysis ◽  
Model Based ◽  
Fisher Discriminant ◽  
Local Fisher Discriminant Analysis ◽  
Linear Dimensionality Reduction

This paper introduces an image retrieval model based on dimensionality reduction. The proposed model is divided into two main techniques, the first one is concerned with the feature extraction from image database, and the second one is performing a dimensionality reduction. In the first technique, the color histogram and Color Texture Moment are used to extract the color and texture features, respectively. In the second technique, Local Fisher Discriminant Analysis (LFDA) which is a supervised linear dimensionality reduction algorithm is used to performing dimensionality. LFDA combines the ideas of Fisher Discriminant Analysis (FDA) and Locality Preserving Projection (LPP). LFDA can preserve both manifold of data and discriminant information. Experiments demonstrate that the proposed image retrieval scheme based on dimensionality reduction can achieve satisfactory results.

Fast image retrieval model based on concept space

1995 ◽  
Author(s):  
Takashi Kondoh ◽  
Masahiro Yamaguchi ◽  
Nagaaki Ohyama
Keyword(s):  
Image Retrieval ◽  
Retrieval Model ◽  
Model Based ◽  
Concept Space

scholarly journals A remote-sensing image-retrieval model based on an ensemble neural networks

2018 ◽  
Vol 2 (4) ◽  
pp. 351-367 ◽  
Author(s):  
Caihong Ma ◽  
Fu Chen ◽  
Jin Yang ◽  
Jianbo Liu ◽  
Wei Xia ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Neural Networks ◽  
Image Retrieval ◽  
Remote Sensing Image ◽  
Retrieval Model ◽  
Model Based ◽  
Ensemble Neural Networks
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