An efficient algorithm for double compressed AAC audio detection

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• 作者：Chao Jin ; Rangding Wang ; Diqun Yan ; Pengfei Ma…
• 刊名：Multimedia Tools and Applications
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：75
• 期：8
• 页码：4815-4832
• 全文大小：531 KB
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems
  Computer Communication Networks
  Data Structures, Cryptology and Information Theory
  Special Purpose and Application-Based Systems
  
• 出版者：Springer Netherlands
• ISSN：1573-7721
• 卷排序：75

文摘

As a new generation of compression encoding standard, MPEG-2/4 Advanced Audio Coding (AAC) would be a widely-used audio format in the near future. However, these AAC audios often be forged by audio forgers for their own benefits in some significant events, which will cause double AAC compression. In this paper, the probability values and Markov features based on the Huffman codebook indexes of AAC audio were constructed and an efficient algorithm is proposed to detect double compression. Experimental results demonstrate that our method has high detection accuracy and low computational complexity. To the best of our knowledge, it is the first time to apply double compression detection to AAC audio forensics.KeywordsAACHuffman codebook indexDouble compression detectionProbability valuesMarkov model