Secure Image Retrieval Scheme in the Encrypted Domain

Pei Zhang, Li Zhuo, Yingdi Zhao, Bo Cheng, Jing Zhang, Xiaoqin Song

2013

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 Harvard Style

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 - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 783-787. DOI: 10.5220/0004289707830787

in Bibtex Style

@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 - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={783-787},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004289707830787},
isbn={978-989-8565-47-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - Secure Image Retrieval Scheme in the Encrypted Domain
SN - 978-989-8565-47-1
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