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 integrity and authenticity and has serious implications.