Gap in dataset quality and relevance Among the detectors that have attempted both image and video detection, most experimented on the existing high-fidelity image-based datasets rather than the latest video-based datasets. There is an urgent need for substantial effort towards developing effective dee...
There are several approaches to using neural networks for deep fake detection. One approach is to use a convolutional neural network (CNN) [1] to analyze the visual artifacts in the image or video. The CNN can detect inconsistencies or anomalies in the image or video that are indicative of ...
In this research, DeepFake detection techniques are developed by building two CNN models based on ResNet50 and DenseNet121 architectures. A comparative analysis is done for the two models based on accuracy and F1-score efficiency parameters. Experimental results indicate that the CNN models employed ...
Deepfake Video Detection Using Recurrent Neural Networks David GüeraEdward J. Delp Advanced Video and Signal Based Surveillance Nov 2018 In recent months a machine learning based free software tool has made it easy to create believable face swaps in videos that leaves few traces of manipulation, in...
Deepfake is a type of face manipulation technique using deep learning that allows for the replacement of faces in videos in a very realistic way. While thi... G Naskar,S Mohiuddin,S Malakar,... - 《Heliyon》 被引量: 0发表: 2024年 Deepfake: Creation and Detection using Deep Learning The...
[2] Nguyen, Thanh & Nguyen, Cuong M. & Nguyen, Tien & Nguyen, Duc & Nahavandi, Saeid. Deep Learning for Deepfakes Creation and Detection: A Survey (2019).[3] P. K. P. K. Sawinder Kaur, Deepfakes: temporal sequential analysis to detect face-swapped video clips using convolutional ...
5.2帧内视觉伪影(visual artifacts within video frame) 将视频分解为帧并探索单个帧内的视觉伪影以获得判别特征,再将这些功能分配到深层或浅层分类器中以区分真假视频;该类型的处理方法更多的和deepfake image detection类似,只针对空间域的特征进行检测。
3.2 Fake Video Detection 由于视频压缩后帧数据的严重退化,大多数图像检测方法不能用于视频检测。此外,视频的时间特征在不同的帧之间是不同的,因此设计方法来检测假视频相对于检测假图像是有挑战性的。本小节重点介绍了deepfake视频检测方法,并将其分为两组:使用时间特征的方法和在帧内检测视觉伪影的方法。 3.2.1 ...
Deepfakes use deep learning artificial intelligence to digitally replace, alter, or imitate someone’s face or body in a video or their voice in an audio. In other words, deepfakes are fake videos or images. Now, with the AI technology, it’s simple to make deepfakes. Here is a list ...
face recognition and cropping work are performed on the video frame images. Using the face 68 feature point detection script in Dlib, all faces in the picture can be accurately identified. In order to extract the surrounding parts, we expand the size of the crop so that we can extract sever...