title: ÐÐ±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð¸Ð¼Ð¿ÐµÑÑÐ¾Ð½Ð°ÑÐ¸Ð¸ Ð¿ÑÐ¸ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ð¸ Ð»Ð¸Ñ Ð² Ð²Ð¸Ð´ÐµÐ¾Ð¿Ð¾ÑÐ¾ÐºÐµ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Deepfake detection in a video stream
Creators: name: ÐÐ°ÐºÐ°ÑÐ¾Ð², ÐÐ½Ð´ÑÐµÐ¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð¸Ð¼Ð¿ÐµÑÑÐ¾Ð½Ð°ÑÐ¸Ð¸
Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ñ Ð»Ð¸Ñ
ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð»Ð¸Ñ
neural networks
deepfake detection
generation of human faces
face detection

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description: The topic of the graduate qualification work is Â«Deepfake detection in a video streamÂ».The purpose of the study is development of a program for deepfake detection in a video stream. The subject of the study is modern methods of image classification and face detection in the image. The research set the following goals:Analysis of modern research in the field of deepfake detection.Development of a method for deepfake detection in a video stream.Evaluation of the accuracy of the created tool.During the work the structure of the selected data set and the architecture of the neural network were studied. Modern studies in the field of image classification was analyzed.The work resulted in development of a software tool for deepfake detecting in the video stream, the effectiveness of the tool was demonstrated. It was concluded that the task of deepfake detecting in a video stream is not ideally solved using image classification tools.The results could be used as a base for deepfake detection systems designing.