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Blind Passive Media Forensics: Motivation and Opportunity

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Multimedia Content Analysis and Mining (MCAM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4577))

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Abstract

In this presentation, I will describe the motivating scenarios and applications for blind-passive media forensics (BPMF) technologies, contrasting them with conventional solutions that require adoption of end-to-end protocols or embedding of watermarks. BPMF methods verify the authenticity of the received content at the point of use by checking the integrity of features characteristic of the natural scenes or capturing devices, or the anomalies caused by the tampering operations. I will review the significant results achieved so far and discuss the direction for future research.

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Authors and Affiliations

  1. Department of Electrical Engineering, Columbia University, New York, NY 10027,  

    Shih-Fu Chang

Authors
  1. Shih-Fu Chang
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Nicu Sebe Yuncai Liu Yueting Zhuang Thomas S. Huang

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© 2007 Springer Berlin Heidelberg

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Chang, SF. (2007). Blind Passive Media Forensics: Motivation and Opportunity. In: Sebe, N., Liu, Y., Zhuang, Y., Huang, T.S. (eds) Multimedia Content Analysis and Mining. MCAM 2007. Lecture Notes in Computer Science, vol 4577. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73417-8_11

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  • DOI: https://doi.org/10.1007/978-3-540-73417-8_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73416-1

  • Online ISBN: 978-3-540-73417-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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