A lightweight-client and privacy preserving content-based image retrieval in cloud environment

Min Xiao; Wenjun Zuo

doi:10.1117/12.2524165

6 May 2019 A lightweight-client and privacy preserving content-based image retrieval in cloud environment

Min Xiao, Wenjun Zuo

Proceedings Volume 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018); 1106922 (2019) https://doi.org/10.1117/12.2524165
Event: Tenth International Conference on Graphic and Image Processing (ICGIP 2018), 2018, Chengdu, China

Abstract

Image storage and retrieval incur high storage and computation complexities and cloud computing offers an attractive choice for the image storage outsourcing and the on-demand access. Since the outsourced images often include sensitive information, privacy-preserving image outsourcing scheme becomes the biggest research hot spot. In this paper, we proposed a lightweight-client and privacy-preserving content-based image retrieval (CBIR) scheme, which has the following advantages: (1) to improve search accuracy, color and texture feature are integrated to construct index; (2) to reduce the client (owner and user) burden, computationally intensive tasks, texture feature extraction and index construction, are securely outsourced to cloud server; (3) to enhance search efficiency, a two-layer index structure is also adopted. The security analysis and the experiments show the security and efficiency of the proposed scheme.

Citation Download Citation

Min Xiao and Wenjun Zuo "A lightweight-client and privacy preserving content-based image retrieval in cloud environment", Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 1106922 (6 May 2019); https://doi.org/10.1117/12.2524165

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KEYWORDS

Image retrieval

Image encryption

Feature extraction

Clouds

Image processing

Computer security

Image enhancement

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