Title :
Detection of Double Compression in MPEG-4 Videos Based on Markov Statistics
Author :
Xinghao Jiang ; Wan Wang ; Tanfeng Sun ; Shi, Y.Q. ; Shilin Wang
Author_Institution :
Sch. of Electron. Inf. & Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
With the spread of powerful and easy-to-use video editing software, digital videos are exposed to various forms of tampering. Nowadays, a considerable proportion of surveillance systems and video cameras have built-in MPEG-4 codec. Therefore, the detection of double compression in MPEG-4 videos as a first step in video forensics research is of significance. In this paper, Markov based features are adopted to detect double compression artifacts, which imply that the original video may have been interpolated. The advantages and limitations of double MPEG-4 compression detection are analyzed. Experimental results have demonstrated that our scheme outperforms most existing methods.
Keywords :
Markov processes; data compression; video codecs; video coding; video surveillance; MPEG-4 video codec; Markov statistics; digital video; double compression detection; surveillance system; video camera; video editing software; Discrete cosine transforms; Feature extraction; Image coding; Markov processes; Quantization; Transform coding; Videos; Digital forensics; MPEG-4; Markov statistics; double compression;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2013.2251632