Robust image hashing for content identification through contrastive self-supervised learning

J Fonseca-Bustos, KA Ramírez-Gutiérrez… - Neural Networks, 2022 - Elsevier
Content identification systems are an essential technology for many applications. These
systems identify query multimedia items using a database of known identities. A hash-based …

A robust self-supervised image hashing method for content identification with forensic detection of content-preserving manipulations

J Fonseca-Bustos, KA Ramírez-Gutiérrez… - Neural Networks, 2024 - Elsevier
Image content identification systems have many applications in industry and academia. In
particular, a hash-based content identification system uses a robust image hashing function …

[PDF][PDF] 基于双向生成对抗网络的图像感知哈希算法

马宾, 王一利, 徐健, 王春鹏, 李健, 周琳娜 - 电子学报, 2023 - ejournal.org.cn
本文提出一种基于双向生成对抗网络(Bidirectional Generative Adversarial Network, BiGAN)
的无监督感知哈希生成算法, 通过编码网络, 生成网络和判别网络间的双向迭代对抗 …

An Image Perceptual Hashing Algorithm Based on Convolutional Neural Networks

M Yang, B Qi, Y Xian, J Li - International Workshop on Digital …, 2023 - Springer
The conventional perceptual hashing algorithms are constrained to a singular global feature
extraction algorithm and lack efficient scalability adaptation. To address this problem, an …

A compact and robust perceptual hashing function through self-supervised learning

J Fonseca-Bustos… - 2022 11th …, 2022 - ieeexplore.ieee.org
Thanks to the Internet, it is easy to share and redis-tribute multimedia items for different
purposes. However, to avoid malicious usage of sensitive data, it is desirable to have …