Robust and efficient scene-based watermarking using temporal spread spectrum in compressed video

Abstract

This paper presents a robust and efficient scene-based video watermarking method using visual rhythm in compressed domain. A visual rhythm is a two dimensional abstraction of the entire three dimensional video contents obtained by cutting through the video sequence across the time axis or by sampling a certain group of pixels in consecutive video frames. Knowing that scene changes can be easily detected using visual rhythm and video sequences are conveniently edited at the scene boundaries, such scene-based watermark embedding process is a logical choice for video watermarking. Temporal spread spectrum can be achieved by applying spread spectrum methods to visual rhythm. Additive Gaussian noise, low-pass filtering, median filtering and histogram equalization attacks are simulated for all frames. Frame sub-sampling is also simulated as a typical video attack. Simulation results show that proposed algorithm is robust and efficient against these attacks.