Papers Video Forensics
“Video Forensics” 태그가 달린 논문 17편 · 필터 해제
AvatarShield: Visual Reinforcement Learning for Human-Centric Video Forgery Detection
The rapid advancement of Artificial Intelligence Generated Content (AIGC) technologies, particularly in video generation, has led to unprecedented creative capabilities but also increased threats to information integrity…
reinforcement-learningReinforcement Learningtext annotationVideo Forensics+1MVFNet: Multipurpose Video Forensics Network using Multiple Forms of Forensic Evidence
While videos can be falsified in many different ways, most existing forensic networks are specialized to detect only a single manipulation type (e.g. deepfake, inpainting). This poses a significant issue as the manipulat…
Face SwappingVideo ForensicsUnderstanding Audiovisual Deepfake Detection: Techniques, Challenges, Human Factors and Perceptual Insights
Deep Learning has been successfully applied in diverse fields, and its impact on deepfake detection is no exception. Deepfakes are fake yet realistic synthetic content that can be used deceitfully for political impersona…
DeepFake DetectionFace SwappingMisinformationVideo ForensicsOn Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection
Large numbers of synthesized videos from diffusion models pose threats to information security and authenticity, leading to an increasing demand for generated content detection. However, existing video-level detection al…
Video ForensicsAV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Video Deepfake Detection
Multimodal manipulations (also known as audio-visual deepfakes) make it difficult for unimodal deepfake detectors to detect forgeries in multimedia content. To avoid the spread of false propaganda and fake news, timely d…
DeepFake DetectionFace SwappingSelf-Supervised LearningVideo ForensicsMTN: Forensic Analysis of MP4 Video Files Using Graph Neural Networks
MP4 video files are stored using a tree data structure. These trees contain rich information that can be used for forensic analysis. In this paper, we propose MP4 Tree Network (MTN), an approach based on an end-to-end Gr…
Data AugmentationSelf-Supervised LearningVideo ForensicsSelf-Supervised Video Forensics by Audio-Visual Anomaly Detection
Manipulated videos often contain subtle inconsistencies between their visual and audio signals. We propose a video forensics method, based on anomaly detection, that can identify these inconsistencies, and that can be tr…
Anomaly DetectionDeepFake DetectionVideo ForensicsH4VDM: H.264 Video Device Matching
Methods that can determine if two given video sequences are captured by the same device (e.g., mobile telephone or digital camera) can be used in many forensics tasks. In this paper we refer to this as "video device matc…
Video ForensicsForgery Attack Detection in Surveillance Video Streams Using Wi-Fi Channel State Information
The cybersecurity breaches expose surveillance video streams to forgery attacks, under which authentic streams are falsified to hide unauthorized activities. Traditional video forensics approaches can localize forgery tr…
Time SeriesTime Series AnalysisVideo ForensicsMC-LCR: Multi-modal contrastive classification by locally correlated representations for effective face forgery detection
As the remarkable development of facial manipulation technologies is accompanied by severe security concerns, face forgery detection has become a recent research hotspot. Most existing detection methods train a binary cl…
Contrastive LearningDeepFake DetectionFace SwappingFake Image Detection+3EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task
Satellite images are snapshots of the Earth surface. We propose to forecast them. We frame Earth surface forecasting as the task of predicting satellite imagery conditioned on future weather. EarthNet2021 is a large data…
Crop Yield PredictionEarth Surface ForecastingTime Series ForecastingVideo Forensics+1Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features
With the advance in user-friendly and powerful video editing tools, anyone can easily manipulate videos without leaving prominent visual traces. Frame-rate up-conversion (FRUC), a representative temporal-domain operation…
Video EditingVideo ForensicsDeepfake Video Forensics based on Transfer Learning
Deeplearning has been used to solve complex problems in various domains. As it advances, it also creates applications which become a major threat to our privacy, security and even to our Democracy. Such an application wh…
DeepFake DetectionFace Swappingimage-classificationImage Classification+2Video Face Manipulation Detection Through Ensemble of CNNs
In the last few years, several techniques for facial manipulation in videos have been successfully developed and made available to the masses (i.e., FaceSwap, deepfake, etc.). These methods enable anyone to easily edit f…
DeepFake DetectionDetecting Image ManipulationFake Image DetectionGAN image forensics+3DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
We present our on-going effort of constructing a large-scale benchmark for face forgery detection. The first version of this benchmark, DeeperForensics-1.0, represents the largest face forgery detection dataset by far, w…
DiversityFace SwappingVideo ForensicsWe Need No Pixels: Video Manipulation Detection Using Stream Descriptors
Manipulating video content is easier than ever. Due to the misuse potential of manipulated content, multiple detection techniques that analyze the pixel data from the videos have been proposed. However, clever manipulato…
Video ForensicsLearning and Using the Arrow of Time
We seek to understand the arrow of time in videos -- what makes videos look like they are playing forwards or backwards? Can we visualize the cues? Can the arrow of time be a supervisory signal useful for activity analys…
Action RecognitionSelf-Supervised Action RecognitionTemporal Action LocalizationVideo Forensics