[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Masud et al., 2023 - Google Patents

LW-DeepFakeNet: a lightweight time distributed CNN-LSTM network for real-time DeepFake video detection

Masud et al., 2023

Document ID
7919177575887530376
Author
Masud U
Sadiq M
Masood S
Ahmad M
Abd El-Latif A
Publication year
Publication venue
Signal, Image and Video Processing

External Links

Snippet

With the large-scale and pervading social media platforms and the recent advances in generative deep learning techniques, it is nowadays quite common to forge highly-realistic and credible misleading videos known as DeepFakes. These videos mean to alter the …
Continue reading at link.springer.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/04Inference methods or devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis

Similar Documents

Publication Publication Date Title
Lee et al. Detecting handcrafted facial image manipulations and GAN-generated facial images using Shallow-FakeFaceNet
Singh et al. DeepFake video detection: a time-distributed approach
Heo et al. Deepfake detection algorithm based on improved vision transformer
Vyas et al. Multi-view action recognition using cross-view video prediction
JP2020508522A (en) Periodic hostile generation networks for unsupervised cross-domain image generation
Masud et al. LW-DeepFakeNet: a lightweight time distributed CNN-LSTM network for real-time DeepFake video detection
Jiang et al. KBGN: Knowledge-bridge graph network for adaptive vision-text reasoning in visual dialogue
Al-Dhabi et al. Deepfake video detection by combining convolutional neural network (cnn) and recurrent neural network (rnn)
Rahman et al. A qualitative survey on deep learning based deep fake video creation and detection method
Patel et al. Trans-DF: a transfer learning-based end-to-end deepfake detector
Aminbeidokhti et al. Emotion recognition with spatial attention and temporal softmax pooling
Cai et al. Glitch in the matrix: A large scale benchmark for content driven audio–visual forgery detection and localization
Long et al. Learning to localize actions from moments
Khowaja et al. Hybrid and hierarchical fusion networks: a deep cross-modal learning architecture for action recognition
Khan et al. VD-Net: An Edge Vision-Based Surveillance System for Violence Detection
Abu-Ein et al. Analysis of the current state of deepfake techniques-creation and detection methods
US20230252173A1 (en) System and method for object recognition and privacy preservation
Khormali et al. Self-supervised graph Transformer for deepfake detection
Wang et al. SiamTDR: Time-efficient RGBT tracking via disentangled representations
Elakiya et al. Detection of violence using mosaicking and DFE-WLSRF: Deep feature extraction with weighted least square with random forest
Salini et al. Deepfake videos detection using crowd computing
Ghorban et al. Conditional multichannel generative adversarial networks with an application to traffic signs representation learning
Wanda GRUSpam: robust e-mail spam detection using gated recurrent unit (GRU) algorithm
Chelliah et al. Adaptive and effective spatio-temporal modelling for offensive video classification using deep neural network
Krishnan et al. Mfaan: unveiling audio deepfakes with a multi-feature authenticity network