A new encrypted image retrieval method based on feature fusion in cloud computing

2020 ◽  
Vol 22 (1) ◽  
pp. 114
Author(s):  
Jianhua Chen ◽  
Jiaohua Qin ◽  
Xuyu Xiang ◽  
Yun Tan
Keyword(s):  
Cloud Computing ◽  
Image Retrieval ◽  
Feature Fusion ◽  
Retrieval Method ◽  
Encrypted Image

scholarly journals An Encrypted Image Retrieval Method Based on SimHash in Cloud Computing

2020 ◽  
Vol 62 (3) ◽  
pp. 389-399
Author(s):  
Jiaohua Qin ◽  
Yusi Cao ◽  
Xuyu Xiang ◽  
Yun Tan ◽  
Lingyun Xiang ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Image Retrieval ◽  
Retrieval Method ◽  
Encrypted Image

scholarly journals An Encrypted Image Retrieval Method Based on Harris Corner Optimization and LSH in Cloud Computing

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 24626-24633 ◽  
Author(s):  
Jiaohua Qin ◽  
Hao Li ◽  
Xuyu Xiang ◽  
Yun Tan ◽  
Wenyan Pan ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Image Retrieval ◽  
Retrieval Method ◽  
Encrypted Image ◽  
Harris Corner

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.

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