Detecting and Locating Passive Video Forgery Based on Low Computational Complexity Third-Order Tensor Representation

Great attention is paid to detecting video forgeries nowadays, especially with the widespread sharing of videos over social media and websites. Many video editing software programs are available and perform well in tampering with video contents or even creating fake videos. Forgery affects video int...

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Detalles Bibliográficos
Autores principales: Alsakar, Yasmin M., Mekky, Nagham E., Hikal, Noha A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321313/
https://www.ncbi.nlm.nih.gov/pubmed/34460703
http://dx.doi.org/10.3390/jimaging7030047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321313/
https://www.ncbi.nlm.nih.gov/pubmed/34460703
http://dx.doi.org/10.3390/jimaging7030047

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