Multi-Feature Fusion Based Deepfake Face Forgery Video Detection

نویسندگان

چکیده

With the rapid development of deep learning, generating realistic fake face videos is becoming easier. It common to make news, network pornography, extortion and other related illegal events using forgery. In order attenuate harm forgery video, researchers proposed many detection methods based on tampering traces introduced by However, these generally have poor cross-database performance. Therefore, this paper proposes a multi-feature fusion method improve generalization ability detector. This combines feature information video in spatial domain, frequency Pattern Local Gravitational Force (PLGF) time domain effectively reduces average error rate span while ensuring good effect library.

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ژورنال

عنوان ژورنال: Systems

سال: 2022

ISSN: ['2079-8954']

DOI: https://doi.org/10.3390/systems10020031