Detection of Double Compression in MPEG-4 Videos Using Refined Features-based CNN

Double compression is accompanied by various types of video manipulation and its traces can be exploited to determine whether a video is a forgery. This Letter presents a convolutional neural network for detecting double compression in MPEG-4 videos. Through analysis of the intra-coding process, we utilize two refined features for capturing the subtle artifacts caused by double compression. The discrete cosine transform (DCT) histogram feature effectively detects the change of statistical characteristics in DCT coefficients and the parameter-based feature is utilized as auxiliary information to help the network learn double compression artifacts. When compared with state-of-the-art networks and forensic method, the results show that the proposed approach achieves a higher performance.

[1]  Jinseok Park,et al.  Two-Stream Network for Detecting Double Compression of H.264 Videos , 2019, 2019 IEEE International Conference on Image Processing (ICIP).

[2]  Heung-Kyu Lee,et al.  Double JPEG Detection in Mixed JPEG Quality Factors Using Deep Convolutional Neural Network , 2018, ECCV.

[3]  C.-C. Jay Kuo,et al.  MCL-V: A streaming video quality assessment database , 2015, J. Vis. Commun. Image Represent..

[4]  Mo Chen,et al.  Deep Residual Network for Steganalysis of Digital Images , 2019, IEEE Transactions on Information Forensics and Security.

[5]  In-Jae Yu,et al.  Dual-path convolutional neural network for classifying fine-grained manipulations in H.264 videos , 2021, Multimedia Tools and Applications.

[6]  Paolo Bestagini,et al.  Aligned and Non-Aligned Double JPEG Detection Using Convolutional Neural Networks , 2017, J. Vis. Commun. Image Represent..

[7]  Belhassen Bayar,et al.  Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection , 2018, IEEE Transactions on Information Forensics and Security.

[8]  Min Wu,et al.  Information Forensics: An Overview of the First Decade , 2013, IEEE Access.

[9]  Yun Q. Shi,et al.  Detection of Double Compression in MPEG-4 Videos Based on Markov Statistics , 2013, IEEE Signal Processing Letters.