RESEARCH AND IMPLEMENTATION OF A CONTENT-BASED EMOTIONAL IMAGE RETRIEVAL MODEL

2003 ◽  
Author(s):  
SHANGFEI WANG ◽  
ENHONG CHEN ◽  
XUFA WANG ◽  
ZEMING ZHANG
Keyword(s):  
Image Retrieval ◽  
Retrieval Model

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

A Content Based Image Retrieval Model Using Feature Space Dividing

2014 ◽  
Vol 596 ◽  
pp. 388-393
Author(s):  
Guan Huang
Keyword(s):  
Image Retrieval ◽  
Fractional Order ◽  
Feature Space ◽  
Image Feature ◽  
Content Based Image Retrieval ◽  
Time Cost ◽  
Retrieval Model ◽  
Matching Accuracy ◽  
Query Image ◽  
Proposed Model

This paper introduces a model for content based image retrieval. The proposed model extracts image color, texture and shape as feature vectors; and then the image feature space is divided into a group of search zones; during the image searching phase, the fractional order distance is utilized to evaluate the similarity between images. As the query image vector only needs to compare with library image vectors located in the same search zone, the time cost is largely reduced. Further more the fractional order distance is utilized to improve the vector matching accuracy. The experimental results demonstrated that the proposed model provides more accurate retrieval results with less time cost compared with other methods.

scholarly journals SMART CITY SECURITY: FACE-BASED IMAGE RETRIEVAL MODEL USING GRAY LEVEL CO-OCCURRENCE MATRIX

2020 ◽  
Vol 19 (3) ◽  
pp. 437-458 ◽  
Author(s):  
Abdullah Mohammed Rashid ◽  
Ali Adil Yassin ◽  
Ahmed Adel Abdel Wahed ◽  
Abdulla Jassim Yassin
Keyword(s):  
Image Retrieval ◽  
Smart City ◽  
Gray Level ◽  
Retrieval Model ◽  
Occurrence Matrix
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