Robust video editing detection using Scalable Color and Color Layout Descriptors

Nowadays, recorded videos from surveillance cameras are important evidence for legal investigation in the field of forensic science. Videos may be modified to deviate contents by a person involves in a crime. In this paper, a video editing detection based on Scalable Color Descriptor (SCD) and Color Layout Descriptor (CLD) is proposed. The detection method is composed of two components: (1) generating video identifier and signature and (2) video verification. The experimental results show that applying SCD and CLD to design the detection method outperforms the other descriptors in terms of false acceptance rate and false rejection rate. It is concluded that our method accurately classifies whether or not an incoming video is forged.