Video Watermark Detection With Controllable Performance With And Without Knowledge Of Watermark Location

In this paper, we build a theoretical framework for video watermark detection based on a likelihood ratio test. This framework is used to develop two different video watermark detection algorithms; one detects the watermark only from watermarked coefficients and one detects the watermark from all the ac coefficients in the video. These algorithms can be used in different video watermark detection applications where the detector knows and does not know the precise location of watermarked coefficients. Both watermark detection schemes have controllable detection performance, thus, the error rate of the detector can be maintained regardless of the video sequence if the video is long and the detector response latency can be arbitrary. Furthermore, the detector can maintain the same detection performance after attacks by using more frames to obtain its detection response. Our simulation results show that we achieve the desired detection performance in Monte Carlo trials. We also demonstrate the robustness of our proposed algorithm to several different attacks.