Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Emotional Information Recruits Specific Neural Dynamics to Support Hierarchical Cognitive Control.

Social cognitive and affective neuroscience·2026
Same author

Impact of Continuous Pharmaceutical Care by a Collaborative Pharmacy Team on Reducing Drug-Related Problems in Coronary Heart Disease Patients: A Randomized Controlled Trial in an Integrated Healthcare System.

European journal of cardiovascular nursing·2026
Same author

Epigenetics and macrophage polarization in asthmatic airway inflammation.

Translational research : the journal of laboratory and clinical medicine·2026
Same author

Red Jujube Juice Fermented with <i>Pediococcus pentosaceus</i> and Its Antioxidant Activity in C2C12 Cells.

Foods (Basel, Switzerland)·2026
Same author

Harnessing Corrosion in A P(VDF-TrFE)/Mg Composite for Dynamic Passivation and Osteoimmunomodulation.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

A Phosphoproteomic Platform Identifies Erythrocyte Membrane Protein Band 4.1-Like 3-Mediated Lipid Droplet Remodeling Linked to Liver Cancer Invasion and Migration.

ACS applied materials & interfaces·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Jan 7, 2026

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.9K

基于深度学习的源相机识别和设备连接的最新进展

Zimeng Li1, Ngai-Fong Law1

  • 1Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, China.

Sensors (Basel, Switzerland)
|December 31, 2025
PubMed
概括
此摘要是机器生成的。

照片响应不均 (PRNU) 是用于摄像机识别的可靠法医工具. 深度学习提高了模型的准确性,但设备级识别在现代AI增强成像方面面临着挑战.

关键词:
摄像机识别 摄像机识别连接装置的连接装置.照片响应非统一性不一致性传感器工件 传感器工件

更多相关视频

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

9.8K
Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut
08:32

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Published on: June 15, 2020

13.2K

相关实验视频

Last Updated: Jan 7, 2026

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.9K
A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

9.8K
Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut
08:32

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Published on: June 15, 2020

13.2K

科学领域:

  • 数字法医学数字法医学
  • 计算机视觉 计算机视觉
  • 机器学习 机器学习

背景情况:

  • 照片响应不均 (PRNU) 是一种在法医科学中用于相机源识别和设备链接的既定技术.
  • 深度学习 (DL) 的最新进展为分析传感器工件用于法医目的提供了新的方法.

研究的目的:

  • 审查和比较各种基于PRNU的摄像头识别深度学习架构的有效性.
  • 为了评估DL技术的性能在模型和设备层面随着时间的推移.
  • 识别当前DL方法在法医图像分析的挑战.

主要方法:

  • 审查深度学习架构,包括CNN,残留学习,编码解码器,双分支和对比学习.
  • 对DL模型在摄像头源识别和设备连接任务上的性能进行比较分析.
  • 在模型层面和设备层面识别的有效性评估.

主要成果:

  • 深度学习方法在PRNU分析的模型层面上表现出高准确性.
  • 强大的设备级别识别仍然是一个重大挑战,特别是在先进的成像管道中.
  • 效率受到相机集成和人工智能驱动的图像增强的影响.

结论:

  • 虽然DL在模型级识别方面表现出色,但实现可靠的设备级识别需要进一步的研究.
  • 随着摄影捕捉实践的不断发展,需要开发先进的技术和更新的数据集.
  • 未来的工作应该集中在克服人工智能驱动的现代摄像机增强所带来的局限性.