{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T16:18:09Z","timestamp":1780762689809,"version":"3.54.1"},"reference-count":29,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2022,3,7]],"date-time":"2022-03-07T00:00:00Z","timestamp":1646611200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Young Teachers Program of Scientific Innovation Project from China People's Police University","award":["ZQN2020028"],"award-info":[{"award-number":["ZQN2020028"]}]},{"name":"Science and Technology Project of Hebei Education Department","award":["QN2021417"],"award-info":[{"award-number":["QN2021417"]}]},{"name":"the Opening Project of Guangdong Province Key Laboratory of Information Security Technology","award":["2020B1212060078-05"],"award-info":[{"award-number":["2020B1212060078-05"]}]},{"name":"Key Research Project from China People's Police University","award":["2019zdgg012"],"award-info":[{"award-number":["2019zdgg012"]}]},{"name":"Research Project on Social Science Development of Hebei Province in 2021","award":["20210101014"],"award-info":[{"award-number":["20210101014"]}]},{"name":"China-Singapore International Joint Research Institute","award":["206-A018001"],"award-info":[{"award-number":["206-A018001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>With the rapid development of deep learning, generating realistic fake face videos is becoming easier. It is common to make fake news, network pornography, extortion and other related illegal events using deep forgery. In order to attenuate the harm of deep forgery face video, researchers proposed many detection methods based on the tampering traces introduced by deep forgery. However, these methods generally have poor cross-database detection performance. Therefore, this paper proposes a multi-feature fusion detection method to improve the generalization ability of the detector. This method combines feature information of face video in the spatial domain, frequency domain, Pattern of Local Gravitational Force (PLGF) and time domain and effectively reduces the average error rate of span detection while ensuring good detection effect in the library.<\/jats:p>","DOI":"10.3390\/systems10020031","type":"journal-article","created":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T01:50:53Z","timestamp":1646790653000},"page":"31","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Multi-Feature Fusion Based Deepfake Face Forgery Video Detection"],"prefix":"10.3390","volume":"10","author":[{"given":"Zhimao","family":"Lai","sequence":"first","affiliation":[{"name":"Immigration Management College (Guangzhou), China People\u2019s Police University, Guangzhou 510663, China"},{"name":"Guangdong Provincial Key Laboratory of Information Security Technology, Guangzhou 510000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yufei","family":"Wang","sequence":"additional","affiliation":[{"name":"China-Singapore International Joint Research Institute, Guangzhou 511356, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Renhai","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianglei","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haifeng","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.neucom.2021.02.074","article-title":"Face perception foundations for pattern recognition algorithms","volume":"443","author":"Marcolin","year":"2021","journal-title":"Neurocomputing"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1080\/13682199.2020.1738741","article-title":"A comprehensive study on face recognition: Methods and challenges","volume":"68","author":"Payal","year":"2020","journal-title":"Imaging Sci. 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