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.
翻译:在本文中,我们建议使用一个使用平面图像数据集生成的代码簿来保护隐私图像检索方案。 向 EtC 系统建议的加密时压缩( EtC) 图像已经用于常规的隐私保存图像检索方案, 其中从图像所有者上传的 EtC 图像生成了代码簿, 然后通过使用代码簿来计算扩展的 SIMPLE 描述器作为图像描述器。 相反, 在提议的方案中, 代码簿是独立于上传图像的数据集生成的。 独立数据集的使用不仅让我们能够使用不需要重新计算的代码簿,而且能够不断提供高的检索准确性。 在一项实验中, 所拟议的计划被证明是为了保持高的检索性能, 即使代码簿是独立于图像所有者加密图像的简单图像数据集生成的。