http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112991278-A

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filingDate 2021-03-01^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_720c12903468b197a2c82e391493bc32
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4f5696a1a0cab58fbcc17232286b7e74
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publicationDate 2021-06-18^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-112991278-A
titleOfInvention Deepfake video detection method and system combining RGB spatial features and LoG temporal features
abstract The invention discloses a Deepfake video detection method and system combining RGB spatial domain features and LoG time domain features. The method includes the following steps: extracting RGB three-channel images of the face region in each video frame frame by frame, The image and the image occluded by the local face area are input into the Xception network to extract the RGB spatial domain features; LoG transform is performed on the RGB three-channel images of consecutive frames, and the LoG time domain features are extracted through the three-dimensional convolutional layer and the Xception network; RGB spatial domain features and LoG After splicing temporal features, input the fully connected layer for feature classification; train the network model, save the model and weight of the network; perform detection and classification to determine whether the video is a face-changing video. The present invention effectively improves the detection ability and generalization ability of the model to the face-changing video by extracting the RGB spatial feature and LoG time-domain feature in the face-changing video, and combining with the partial face area occlusion processing.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113705397-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115273186-A
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priorityDate 2021-03-01^^<http://www.w3.org/2001/XMLSchema#date>
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