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Estimation of data hiding capacity of digital video based on human visual model in temporal domain

Khalilian, H ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/ICSPCS.2008.4813747
  3. Publisher: 2008
  4. Abstract:
  5. A new approach to evaluation of the data hiding capacity of digital video is presented in this paper. The paper reconsiders the conventional capacity estimation algorithms, in which the video signal is taken as a sequence of still images, that result in an exaggerated upper bound of hiding capacity or a much higher value than the actual embedding capacity. The proposed method for the capacity estimation is based on the human visual model in temporal domain, which leads to a more realistic, tighter bound for video capacity. In this method, according to temporal characteristic of every frame, a visibility based coefficient is extracted that is used to determine the hiding capacity. The maximum allowable distortion applied to each frame is modified by this coefficient, and then the frame capacity is computed through an information-theoretic approach. © 2008 IEEE
  6. Keywords:
  7. Capacity estimation ; Capacity evaluation ; Data hiding ; Data hiding capacity ; Digital video analysis ; Digital videos ; Embedding capacity ; Hiding capacity ; Human visual model ; Information-theoretic approach ; New approaches ; Still images ; Temporal characteristics ; Temporal domain ; Upper Bound ; Video signal ; Communication systems ; Estimation ; Information theory ; Multimedia systems ; Signal processing ; Computer graphics
  8. Source: 2nd International Conference on Signal Processing and Communication Systems, ICSPCS 2008, Gold Coast, QLD, 15 December 2008 through 17 December 2008 ; April , 2008 ; 9781424442423 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4813747