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METHODS AND SYSTEMS FOR DETECTING DEEPFAKES

机译:用于检测Deepfakes的方法和系统

摘要

A system for detecting synthetic videos may include a server, a plurality of weak classifiers, and a strong classifier. The server may be configured to receive a prediction result from each of a plurality of weak classifiers; and send the prediction results from each of the plurality of weak classifiers to a strong classifier. The weak classifiers may be trained on real videos and known synthetic videos to analyze a distinct characteristic of a video file; detect irregularities of the distinct characteristic; generate a prediction result associated with the distinct characteristic, the prediction result being a prediction on whether the video file is synthetic; and output the prediction result to the server. The strong classifier may be trained to receive the prediction results of the plurality of weak classifiers from the server; analyze the prediction results; and determine if the video file is synthetic based on the prediction results.
机译:用于检测合成视频的系统可以包括服务器,多个弱分类器和强分类器。服务器可以被配置为接收来自多个弱分类器中的每一个的预测结果;并将来自多个弱分类器中的每一个的预测结果发送到强分类器。弱分类器可以在真正的视频和已知的合成视频上培训,以分析视频文件的不同特征;检测不同特征的不规则性;生成与不同特性相关的预测结果,预测结果是对视频文件是合成的预测;并将预测结果输出到服务器。可以训练强分类器以从服务器接收多个弱分类器的预测结果;分析预测结果;并确定视频文件是否基于预测结果是合成的。

著录项

  • 公开/公告号US2021142065A1

    专利类型

  • 公开/公告日2021-05-13

    原文格式PDF

  • 申请/专利权人 ZEROFOX INC.;

    申请/专利号US202117155319

  • 发明设计人 MICHAEL MORGAN PRICE;MATTHEW ALAN PRICE;

    申请日2021-01-22

  • 分类号G06K9;G06K9/62;

  • 国家 US

  • 入库时间 2022-08-24 18:40:22

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