DHNet: Double MPEG-4 Compression Detection via Multiple DCT Histograms

被引：4

作者：

Nam, Seung-Hun ^{[1
]}

Ahn, Wonhyuk ^{[1
]}

Kwon, Myung-Joon ^{[2
]}

Kang, Jihyeon ^{[1
]}

Yu, In-Jae ^{[3
]}

机构：

[1] NAVER WEBTOON AI, Seongnam 13529, South Korea

[2] Korea Adv Inst Sci & Technol, Sch Elect Engn, Daejeon 34141, South Korea

[3] Samsung Elect, Suwon 16677, South Korea

来源：

IEEE MULTIMEDIA | 2022年 / 29卷 / 02期

关键词：

Discrete cosine transforms; Transform coding; Quantization (signal); Encoding; Histograms; Forensics; Feature extraction; H.264; VIDEOS;

D O I：

10.1109/MMUL.2022.3169769

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this article, we aim to detect the double compression of MPEG-4, a universal video codec that is built into surveillance systems and shooting devices. Double compression is accompanied by various types of video manipulation, and its traces can be exploited to determine whether a video is a forgery. To this end, we present a neural network-based approach with discriminant features for capturing peculiar artifacts in the discrete cosine transform (DCT) domain caused by double MPEG-4 compression. By analyzing the intracoding process of MPEG-4, which performs block-DCT-based quantization, we exploit multiple DCT histograms as features to focus on the statistical properties of DCT coefficients on multiresolution blocks. Furthermore, we improve detection performance using a vectorized feature of the quantization table on dense layers as auxiliary information. Compared with neural network-based approaches suitable for exploring subtle manipulations, the experimental results reveal that this work achieves high performance.

引用

页码：11 / 22

页数：12

共 19 条

[1] Detecting double compressed MPEG videos with the same quantization matrix and synchronized group of pictures structure [J].