Abstract
In this paper, a new method to detect the presence of double MP3 compression is proposed. The method is based on the Difference of Calibration Histogram (DCH) characteristic. The features are extracted from the difference of the statistics of MDCT coefficients between the test audio and its calibrated audio. The performance of the scheme is tested on a database containing approximately 13,830 audios, a support vector machine (SVM) is applied to the features for detecting the double MP3 compression. Experimental results show that the proposed features are sensitive to double MP3 compression and achieve higher accuracy than the existing state-of-the-art, especially for same-transcoded and down-transcoded MP3 recompression. The method can also be used to estimate the bit-rate of the first-time MP3 encoding from the recompressed MP3 files.
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References
Alan J (2008) Cooper. The electric network frequency (enf) as an aid to authenticating forensic digital audio recordings–an automated approach. In: Audio Engineering Society Conference: 33rd International Conference: Audio Forensics-Theory and Practice. Audio Engineering Society
Bianchi T, Rosa AD, Fontani M, Rocciolo G, Piva A (2013) Detection and classification of double compressed mp3 audio tracks. In: Proceedings of the first ACM workshop on Information hiding and multimedia security. ACM, pp 159–164
Chang C-C, Lin C-J (2011) Libsvm: a library for support vector machines. ACM Trans Intell Syst Technol (TIST) 2(3):27
Da L, Luo W, Yang R, Huang J (2014) Identifying compression history of wave audio and its applications. ACM Trans Multimed Comput, Commun, Appl (TOMCCAP) 10(3):30
Farid H (1999) Detecting digital forgeries using bispectral analysis
Gupta S, Cho S, Kuo C-CJ (2012) Current developments and future trends in audio authentication. IEEE MultiMed 19(1):50–59
Guang H, Goh J, Thing V (2014) A dynamic matching algorithm for audio timestamp identification using the enf criterion
Kraetzer C, Qian K, Dittmann J (2012) Extending a context model for microphone forensics. In: IS&T/SPIE Electronic Imaging. International Society for Optics and Photonics, pp 83030S–83030S
Liu Q, Sung AH, Qiao M (2010) Detection of double mp3 compression. Cogn Comput 2(4):291–296
Lukáṡ J, Fridrich J (2003) Estimation of primary quantization matrix in double compressed jpeg images. In: Proceedings Digital Forensic Research Workshop, pp 5–8
LAME 3.99.3. Mp3 encoder., http://lame.sourceforge.net
Ma P, Wang R, Yan D, Jin C (2014) A huffman table index based approach to detect double mp3 compression. In: Digital-Forensics and Watermarking. Springer, pp 258–271
Malik H, Farid H (2010) Audio forensics from acoustic reverberation. In: Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on. IEEE, pp 1710–1713
Qiao M, Sung AH, Liu Q (2010) Revealing real quality of double compressed mp3 audio. In: Proceedings of the international conference on Multimedia. ACM, pp 1011–1014
Qiao M, Sung AH, Liu Q (2013) Improved detection of mp3 double compression using content-independent features. IEEE, pp 1–4
Yang R, Qu Z, Huang J (2008) Detecting digital audio forgeries by checking frame offsets. In: Proceedings of the 10th ACM workshop on Multimedia and security. ACM, pp 21–26
Yang R, Shi YQ, Huang J (2010) Detecting double compression of audio signal. In: IS&T/SPIE Electronic Imaging. International Society for Optics and Photonics, pp 75410K–75410K
Zhao H, Malik H (2013) Audio recording location identification using acoustic environment signature
Xia Z, Wang X, Sun X, Liu Q, Xiong N (2014) Steganalysis of LSB matching using differences between nonadjacent pixels. Multimedia Tools and Applications. doi:10.1007/s11042-014-2381-8
Acknowledgments
This work was supported by the National Natural Science Foundation of China (NSFC) under the grant No. 61332019, 61373169, 61272451 and 61272453, and by the Foundation of The National Project 973 under the grant No. 2014CB340600
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Ren, Y., Fan, M., Ye, D. et al. Detection of double MP3 compression Based on Difference of Calibration Histogram. Multimed Tools Appl 75, 13855–13870 (2016). https://doi.org/10.1007/s11042-015-2758-3
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DOI: https://doi.org/10.1007/s11042-015-2758-3