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

Author(s):  
Jianhua Chen ◽  
Jiaohua Qin ◽  
Xuyu Xiang ◽  
Yun Tan
2020 ◽  
Vol 62 (3) ◽  
pp. 389-399
Author(s):  
Jiaohua Qin ◽  
Yusi Cao ◽  
Xuyu Xiang ◽  
Yun Tan ◽  
Lingyun Xiang ◽  
...  

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 24626-24633 ◽  
Author(s):  
Jiaohua Qin ◽  
Hao Li ◽  
Xuyu Xiang ◽  
Yun Tan ◽  
Wenyan Pan ◽  
...  

Author(s):  
Xiaojun Lu ◽  
Jiaojuan Wang ◽  
Yingqi Hou ◽  
Mei Yang ◽  
Qi Wang ◽  
...  

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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