相关实验视频

Updated: May 28, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

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一个多模型的功能融合基于转移学习与复制移动视频伪造检测启发式搜索复制移动视频伪造检测

Hessa Alfraihi1, Muhammad Swaileh A Alzaidi2, Hamed Alqahtani3

  • 1Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.

Scientific reports
|February 8, 2025
PubMed
概括

这项研究引入了一种用于检测复制移动视频伪造的新型模型. 通过基于融合的转移学习模型与塔斯马尼亚魔鬼优化器 (ECMVFD-FTLTDO) 模型的增强复制移动视频伪造检测,在识别被改的视频内容方面实现了高精度.

关键词:
埃尔曼经常性神经网络假的图像是假的图像.伪造检测 伪造检测 伪造检测塔斯马尼亚恶魔优化器转移学习转移学习

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