Real-time video watermarking techniques robust against re-encoding

Gil Sang Yoo, Hyeoncheol Kim

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This paper presents a real-time watermarking codec that is robust against re-encoding attacks for high-definition videos. The codec uses a segmentation function and texture detector techniques for applying real-time watermarking to human visual systems. Experimental results confirm that the proposed scheme satisfies the requirements of invisibility, real-time processing, and robustness against format conversion and low bit-rate encoding. The proposed algorithm has the advantages of simplicity, flexibility, and low computational burden; thus, it is a suitable candidate for many novel and interesting applications such as video fingerprinting for set-top boxes, Internet protocol television, personal video recorders, and satellite boxes.

Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalJournal of Real-Time Image Processing
DOIs
Publication statusAccepted/In press - 2015 Dec 17

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Keywords

  • Format conversion
  • Human visual system
  • Image segmentation
  • Re-encoding
  • Real-time watermarking

ASJC Scopus subject areas

  • Information Systems

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