Detection of HEVC double compression based on boundary effect of TU and non-zero DCT coefficient distribution

Video content tampering is a growing concern. While tampering, perpetrator needs to decompress and re- compress a video. Thus, detecting whether a video has undergone double compression is an important issue in video forensics. In this paper, a novel method is proposed for the detection of High Efficiency Video Coding (HEVC) double compression. Firstly, theoretical and statistical analysis are stated on the quality degradation during double compression, and the impact of Quantization Parameter (QP) on Transforming Unit (TU) and Discrete Cosine Transform (DCT) coefficients distribution. Then 3 sub-features based on Boundary Effect of TU and Non-Zero DCT Coefficients are calculated. Further, 3 sub-features are combined into a 26-dimension feature as the proposed detection feature, which is finally fed to the Multilayer Perceptron (MLP) classifier. Experiments are conducted on video sets with different settings, and the result proves that our method achieves better performance under several situations compared with two existing methods.