Authors:
Pei Zhang
1
;
Li Zhuo
1
;
Yingdi Zhao
1
;
Bo Cheng
1
;
Jing Zhang
1
and
Xiaoqin Song
2
Affiliations:
1
Beijing University of Technology, China
;
2
Nanjing University of Aeronautics and Astronautics, China
Keyword(s):
Secure Image Retrieval, Feature Encryption, Encrypted Domain, Content-based Image Retrieval.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Features Extraction
;
Image and Video Analysis
Abstract:
Currently, the image retrieval methods focus on improving the retrieval performance, but ignoring preserving the problem of preserving privacy. Images contain a great deal of personal privacy information, and leakage of information will result in seriously negative effect. Ensuring the image retrieval performance while preserving the confidentiality of data has become the key issue in the field of image retrieval. Based on the Content-based Image Retrieval (CBIR), we propose a secure image retrieval scheme in the encrypted domain, where the encrypted features can be used in similarity comparison directly. This paper compares the ciphertext retrieval with plaintext retrieval to illustrate that the proposed scheme could achieve the comparable retrieval performance, while ensuring the image information security at the same time.