Video transformer for deepfake detection with incremental learning
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United States of America
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Mar 4, 2025
Grant Date -
Dec 14, 2023
app pub date -
Jun 8, 2022
filing date -
Jun 8, 2022
priority date (Note) -
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status (Latency Note)
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Abstract
A method, apparatus, and system for detecting DeepFake videos, includes an input device for inputting a potential DeepFake video, the input device inputs a sequence of video frames of the video, and processing circuitry. The processing circuitry detects faces frame by frame in the video to obtain consecutive face images, creates UV texture maps from the face images, inputs both face images and corresponding UV texture maps, extracts image feature maps, by a convolution neural network (CNN) backbone, from the input face images and corresponding UV texture maps and forms an input data structure, receives the input data structure, by a video transformer model that includes multiple encoders, and computes, by the video transformer model, a classification of the video as being Real or Fake. A display device plays back the potential DeepFake video and an indication that the video is Real or Fake.
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International Classification(s)
- 2022 Application Filing Year
- H04N Class
- 15474 Applications Filed
- 8956 Patents Issued To-Date
- 57.88 % Issued To-Date
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- H04N Class
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