paper-with-me

홈 › Papers

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

2021-09-04 · Kenta Iida, Hitoshi Kiya

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.

📄 PDF Abstract BibTeX arXiv:2109.01841

Code (0)

등록된 구현이 없습니다.

Tasks

Image RetrievalPrivacy PreservingRetrieval

Similar Papers 제목 키워드 기반

A Privacy-Preserving Image Retrieval Scheme with a Mixture of Plain and EtC Images

2022-02-01 · Kenta Iida, Hitoshi Kiya

In this paper, we propose a novel content-based image-retrieval scheme that allows us to use a mixture of plain images and compressible encrypted ones called "encryption-then-compression (EtC) images." In the proposed sc…

Content-Based Image RetrievalImage RetrievalPrivacy PreservingRetrieval

EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing

2022-08-31 · Qihua Feng, Peiya Li, Zhixun Lu, Chaozhuo Li 외

Image retrieval systems help users to browse and search among extensive images in real-time. With the rise of cloud computing, retrieval tasks are usually outsourced to cloud servers. However, the cloud scenario brings a…

Cloud ComputingContrastive LearningData AugmentationImage Retrieval+2

A Privacy-Preserving Content-Based Image Retrieval Scheme Allowing Mixed Use Of Encrypted And Plain Images

2020-10-31 · Kenta Iida, Hitoshi Kiya

In this paper, we propose a novel content based-image retrieval scheme allowing the mixed use of encrypted and plain images for the first time. In the proposed scheme, images are encrypted by a block-scrambling method de…

Content-Based Image RetrievalImage RetrievalPrivacy PreservingRetrieval

GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval

2024-07-17 · Han Zhou, Wei Dong, Xiaohong Liu, Shuaicheng Liu 외

Most existing Low-light Image Enhancement (LLIE) methods either directly map Low-Light (LL) to Normal-Light (NL) images or use semantic or illumination maps as guides. However, the ill-posed nature of LLIE and the diffic…

DecoderImage EnhancementLow-Light Image Enhancementobject-detection+4

Efficient Codebook and Factorization for Second Order Representation Learning

2019-06-05 · ICLR 2019 5 · Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein

Learning rich and compact representations is an open topic in many fields such as object recognition or image retrieval. Deep neural networks have made a major breakthrough during the last few years for these tasks but t…

Image RetrievalObject RecognitionRepresentation LearningRetrieval