• DocumentCode
    2477098
  • Title

    High Capacity Watermarking Algorithm based on Energy Modulation for Compressed Video

  • Author

    Ling, Hefei ; Lu, Zhengding ; Zou, Fuhao

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    877
  • Lastpage
    880
  • Abstract
    A high capacity watermarking algorithm with high computational efficiency, energy modulated watermarking (EMW), has been proposed based on modulating the energy of certain image regions. During the modification, the Watson perceptual model is employed to restrict the modified magnitude of coefficients. The watermark bits are embedded in a pattern of difference between the energy of individual blocks and the mean energy for all blocks. Although obtaining only a half payload of the multipath trellis-coded modulation (MTM) method, the EMW algorithm has much lower complexity which makes it can meet the real-time requirement in video watermarking applications. Moreover, the experimental results show that the EMW algorithm performs better on watermark´s visual quality impact, robustness than the MTM method
  • Keywords
    data compression; data encapsulation; trellis coded modulation; video coding; watermarking; EMW algorithm; MTM method; Watson perceptual model; energy modulated watermarking; multipath trellis-coded modulation; video compression; video watermarking application; Computational efficiency; Computer science; Digital modulation; Discrete cosine transforms; Image coding; Modulation coding; Payloads; Robustness; Video compression; Watermarking; energy modulated watermarking; high capacity; video watermarking; watson perceptual model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications and Signal Processing, 2005 Fifth International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    0-7803-9283-3
  • Type

    conf

  • DOI
    10.1109/ICICS.2005.1689174
  • Filename
    1689174