A Hashing Image Retrieval Method Based on Deep Learning and Local Feature Fusion

2017 ◽  
pp. 200-210
Author(s):  
Yi-Liang Nie ◽  
Ji-Xiang Du ◽  
Wen-Tao Fan
Keyword(s):  
Deep Learning ◽  
Image Retrieval ◽  
Feature Fusion ◽  
Local Feature ◽  
Retrieval Method

A privacy-preserving image retrieval method based on deep learning and adaptive weighted fusion

2019 ◽  
Vol 17 (1) ◽  
pp. 161-173 ◽  
Author(s):  
Jiaohua Qin ◽  
Jianhua Chen ◽  
Xuyu Xiang ◽  
Yun Tan ◽  
Wentao Ma ◽  
...  
Keyword(s):  
Deep Learning ◽  
Image Retrieval ◽  
Privacy Preserving ◽  
Retrieval Method ◽  
Weighted Fusion

scholarly journals Hierarchical Image Retrieval by Multi-Feature Fusion

2017 ◽  
Author(s):  
Xiaojun Lu ◽  
Jiaojuan Wang ◽  
Yingqi Hou ◽  
Mei Yang ◽  
Qi Wang ◽  
...  
Keyword(s):  
Image Retrieval ◽  
Large Time ◽  
Retrieval System ◽  
Feature Fusion ◽  
Retrieval Method ◽  
Time Consumption ◽  
Retrieval Accuracy ◽  
Single Feature ◽  
Image Retrieval System ◽  
Accuracy Rates

Aiming at the problems that are poor generalization performance, low retrieval accuracy and large time consumption of existing content-based image retrieval system, the hierarchical image retrieval method based on multi feature fusion is proposed in this paper. The retrieval accuracy rates on Corel5K, UKbeach and Holidays are 68.23(Top 1), 3.73(N-S) and 88.20(mAp), respectively. The experimental results show that the method proposed in this paper can effectively improve the deficiency of single feature retrieval and save time significantly in the premise of a small amount of loss of accuracy.

Sign in / Sign up

Export Citation Format

Share Document