A privacy-preserving content-based image retrieval method in cloud environment

Yanyan Xu, Jiaying Gong, Lizhi Xiong, Zhengquan Xu, Jinwei Wang, Yun qing Shi

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

In order to protect data privacy, image with sensitive or private information needs to be encrypted before being outsourced to a cloud service provider. However, this causes difficulties in image retrieval and data management. A privacy-preserving content-based image retrieval method based on orthogonal decomposition is proposed in the paper. The image is divided into two different components, for which encryption and feature extraction are executed separately. As a result, cloud server can extract features from an encrypted image directly and compare them with the features of the queried images, so that users can thus obtain the image. Different from other methods, the proposed method has no special requirements to encryption algorithms, which makes it more universal and can be applied in different scenarios. Experimental results prove that the proposed method can achieve better security and better retrieval performance.

Original languageEnglish (US)
Pages (from-to)164-172
Number of pages9
JournalJournal of Visual Communication and Image Representation
Volume43
DOIs
StatePublished - Feb 1 2017

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Keywords

  • Image retrieval
  • Orthogonal decomposition
  • Privacy-preserving
  • Secure search

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