Case studies of robustness for a fast search algorithm. tk is the the decision threshold. The yellow part represents below the threshold, and the red part represents above the threshold. The number is the camera reference fingerprint.

Source publication

Illustration of the ARMS search. “×” refers to the location of a digest...

Illustration of the tree-structured vector quantization-based search...

The process of extracting camera reference pattern noise. The complete...

The process of extracting residual noise from a single test image. The...

Enhancing Camera Source Identification: A Rapid Algorithm with Enhanced Discriminative Power

Article

Full-text available

Dec 2024

Digital image source identification primarily focuses on analyzing and detecting the machine imprints or camera fingerprints left by imaging devices during the imaging process to trace the origin of digital images. The development of a swift search algorithm is crucial for the effective implementation of camera source identification. Despite its im...

Generate pseudo labels based on clustering results. Different shapes...

An overall framework of our method. a Joint pre-training. GEM and BN...

Impact of weighting parameter λ\documentclass[12pt]{minimal}...

Contrastive learning-based joint pre-training for unsupervised domain adaptive person re-identification

Article

Full-text available

Mar 2025

The goal of person re-identification (ReID) is to identify and retrieve images of a specific individual across multiple camera views. To reduce manual annotations, the unsupervised domain adaptive (UDA) person ReID task utilizes labeled data from the source domain to learn unlabeled data from the target domain. Existing clustering-based UDA person...

Case studies of robustness for a fast search algorithm. tk is the the decision threshold. The yellow part represents below the threshold, and the red part represents above the threshold. The number is the camera reference fingerprint.

Similar publications