scholarly journals Image retrieval based on visual attention model

2012 ◽  
Vol 30 ◽  
pp. 542-545 ◽  
Author(s):  
Satrajit Acharya ◽  
M.R.Vimala Devi
Keyword(s):  
Visual Attention ◽  
Image Retrieval ◽  
Visual Attention Model ◽  
Attention Model

scholarly journals Chordiogram image descriptor based on visual attention model for image retrieval

Array ◽  
2020 ◽  
Vol 7 ◽  
pp. 100027
Author(s):  
S. Sathiamoorthy ◽  
A. Saravanan ◽  
R. Ponnusamy
Keyword(s):  
Visual Attention ◽  
Image Retrieval ◽  
Image Descriptor ◽  
Visual Attention Model ◽  
Attention Model

A Method of Color Image Retrieval Based on Visual Attention Model

2011 ◽  
Vol 40 (7) ◽  
pp. 1025-1030
Author(s):  
黄传波 HUANG Chuanbo ◽  
金忠 JIN Zhong
Keyword(s):  
Visual Attention ◽  
Image Retrieval ◽  
Color Image ◽  
Visual Attention Model ◽  
Attention Model

scholarly journals Remote Sensing Image Retrieval with Combined Features Of Salient Region

2014 ◽  
Vol XL-6 ◽  
pp. 83-88 ◽  
Author(s):  
Z. F. Shao ◽  
W. X. Zhou ◽  
Q. M. Cheng
Keyword(s):  
Remote Sensing ◽  
Visual Attention ◽  
Image Retrieval ◽  
Texture Features ◽  
Remote Sensing Image ◽  
Experimental Results ◽  
Semantic Gap ◽  
Visual Attention Model ◽  
Attention Model ◽  
Combined Features

Low-level features tend to achieve unsatisfactory retrieval results in remote sensing image retrieval community because of the existence of semantic gap. In order to improve retrieval precision, visual attention model is used to extract salient objects from image according to their saliency. Then color and texture features are extracted from salient objects and regarded as feature vectors for image retrieval. Experimental results demonstrate that our method improves retrieval results and obtains higher precision.

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