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Image Noise and Digital Image Forensics Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Multiple MP3 Compression Detection Based on the Statistical Properties of Scale Factors

Authors : Jinglei Zhou, Rangding Wang, Chao Jin, Diqun Yan

Published in: Digital-Forensics and Watermarking

Publisher: Springer International Publishing

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Abstract

MP3 audio is one of the most popular audio formats, and it is easy to be tampered. By revealing the historical traces of the audio compression, it could be speculated effectively whether the suspicious MP3 audio has been tampered or not. Scale factor is an important parameter in MP3 encoding. In this paper, the variation law of the scale factor with various times of the compression is discovered by analyzing its statistical properties. The proposed method can be applied to detect multiple compression operations when the bit rates of the second and third compression are the same. The experimental results show that the proposed approach has good performance and higher accuracy with respect to the state-of-art.

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previous chapter Discriminating Between Computer-Generated Facial Images and Natural Ones Using Smoothness Property and Local Entropy
next chapter Detection of Double Compression for HEVC Videos Based on the Co-occurrence Matrix of DCT Coefficients
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Metadata
Title
Multiple MP3 Compression Detection Based on the Statistical Properties of Scale Factors
Authors
Jinglei Zhou
Rangding Wang
Chao Jin
Diqun Yan
Copyright Year
2016
Book
Digital-Forensics and Watermarking

Print ISBN: 978-3-319-31959-9

Electronic ISBN: 978-3-319-31960-5

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-31960-5_5

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