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A Privacy-Preserving Image Retrieval Scheme Using A Codebook Generated From Independent Plain-Image Dataset

arXiv 2109.01841 ↗First posted 4 Sep 2021eess.IV cs.CV cs.MMcited by 0

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Abstract (arXiv)

In this paper, we propose a privacy-preserving image-retrieval scheme using a codebook generated by using a plain-image dataset. Encryption-then-compression (EtC) images, which were proposed for EtC systems, have been used in conventional privacy-preserving image-retrieval schemes, in which a codebook is generated from EtC images uploaded by image owners, and extended SIMPLE descriptors are then calculated as image descriptors by using the codebook. In contrast, in the proposed scheme, a codebook is generated from a dataset independent of uploaded images. The use of an independent dataset enables us not only to use a codebook that does not require recalculation but also to constantly provide a high retrieval accuracy. In an experiment, the proposed scheme is demonstrated to maintain a high retrieval performance, even if codebooks are generated from a plain image dataset independent of image owners' encrypted images.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 3 of its 54 references that are in the map. First posted on arXiv 4 Sep 2021.

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References · 3

  1. 2018Encryption-then-Compression Systems using Grayscale-based Image Encryption for JPEG Imagescited by 33
  2. 2020Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural Networkscited by 12
  3. 2020A Privacy-Preserving Content-Based Image Retrieval Scheme Allowing Mixed Use Of Encrypted And Plain Imagescited by 1

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