期刊论文

Xiang, Xuyu

英文

IEEE ACCESS

2169-3536

2019

7

99

24626-24633

10.1109/ACCESS.2019.2894673

This work was supported in part by the National Natural Science Foundation of China under Grant 61772561, in part by the Key Research and Development Plan of Hunan Province under Grant 2018NK2012, in part by the Postgraduate Research and Innovation Project of Hunan Province under Grant CX2018B447, in part by the Postgraduate Science and Technology Innovation Foundation of the Central South University of Forestry and Technology under Grant 20183034 and Grant 20183027, and in part by the Key Laboratory for Digital Dongting Lake Basin of Hunan Province.

本校为第一且通讯机构

The encrypted image retrieval in cloud computing is a key technology to realize the massive images of storage and management and images safety. In this paper, a novel feature extraction method for encrypted image retrieval is proposed. First, the improved Harris algorithm is used to extract the image features. Next, the Speeded-Up Robust Features algorithm and the Bag of Words model are applied to generate the feature vectors of each image. Then, Local Sensitive Hash algorithm is applied to construct the searchable index for the feature vectors. The chaotic encryption scheme is utilized to pro...