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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.

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Paper citation in several formats:
Zhang, P.; Zhuo, L.; Zhao, Y.; Cheng, B.; Zhang, J. and Song, X. (2013). Secure Image Retrieval Scheme in the Encrypted Domain. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 783-787. DOI: 10.5220/0004289707830787

@conference{visapp13,
author={Pei Zhang. and Li Zhuo. and Yingdi Zhao. and Bo Cheng. and Jing Zhang. and Xiaoqin Song.},
title={Secure Image Retrieval Scheme in the Encrypted Domain},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={783-787},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004289707830787},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Secure Image Retrieval Scheme in the Encrypted Domain
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Zhang, P.
AU - Zhuo, L.
AU - Zhao, Y.
AU - Cheng, B.
AU - Zhang, J.
AU - Song, X.
PY - 2013
SP - 783
EP - 787
DO - 10.5220/0004289707830787
PB - SciTePress