Towards effective content authentication for digital videos by employing feature extraction and quantization

Po Chyi Su, Chun Chieh Chen, Hong Min Chang

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

A content authentication scheme for digital videos is proposed in this paper. In order to prevent the content from being unnoticeably tampered with by using digital editing facilities, we employ the approach of scalar/vector quantization on the reliable features extracted from video frame blocks to form the authentication code, which is transmitted along with the video. The resulting authentication code is sensitive to malicious modifications of video data but resilient to allowed lossy compression processes, such as H.264/advanced video coding (AVC). The integrity of video content can thus be guaranteed if the extracted feature matches the transmitted authentication code. Experimental results will show the feasibility of the proposed scheme.

Original languageEnglish
Article number4801620
Pages (from-to)668-677
Number of pages10
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume19
Issue number5
DOIs
StatePublished - May 2009

Keywords

  • Content authentication
  • Feature extraction
  • H.264/advanced video coding (AVC)
  • Scalar quantization
  • Singular value decomposition
  • Vector quantization

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