In response to more and more fake face videos in the network, we propose three feature detection methods based on image color histogram, SURF (Speeded Up Robust Features), and ELA (Error Level Analysis), SVM(Support Vector Machine) model training and verification methods, compared with the current common detection methods, this paper starts from the mechanism of fake face tampering, converts the processing of video streams into image features recognition, and analyzes various image features of faces. The recognition rate of face-swapping videos is significantly improved and the machine learning problem in the case of small samples is solved by using svm.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Video recognition algorithm of fake face based on SVM model


    Beteiligte:
    Liu, Runke (Autor:in) / Liu, Xiangling (Autor:in) / Xu, Lingling (Autor:in) / Qian, Zhenyao (Autor:in)


    Erscheinungsdatum :

    2022-10-12


    Format / Umfang :

    1512070 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Dictionary-Based Face Recognition from Video

    Chen, Y.-C. / Patel, V.M. / Phillips, P.J. et al. | British Library Conference Proceedings | 2012


    A Novel Face Segmentation Algorithm from a Video Sequence for Real-Time Face Recognition

    Srikantaswamy, R. / Sudhakersamuel, R. D. / Visual Information Engineering Network (Institution of Engineering and Technology) | British Library Conference Proceedings | 2006


    Face Mosaicing for Pose Robust Video-Based Recognition

    Liu, Xiaoming / Chen, Tsuhan | Springer Verlag | 2007


    Video-Based Face Recognition Using Probabilistic Appearance Manifolds

    Lee, K.-C. / Ho, J. / Yang, M.-H. et al. | British Library Conference Proceedings | 2003


    Video-Based Online Face Recognition Using Identity Surfaces

    Li, Y. / Gong, S. / Liddell, H. et al. | British Library Conference Proceedings | 2001