Abstract | ||
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Watermarking for video sequences should consider additional attacks, such as frame averaging, frame-rate change, frame shuffling or collusion attacks, as well as those of still images. Also, since video is a sequence of analogous images, video watermarking is subject to interframe collusion. In order to cope with these attacks, we propose a scene-based temporal watermarking algorithm. In each scene, segmented by scene-change detection schemes, a watermark is embedded temporally to one-dimensional projection vectors of the log-polar map, which is generated from the DFT of a two-dimensional feature matrix. Here, each column vector of the feature matrix represents each frame and consists of radial projections of the DFT of the frame. Inverse mapping from the one-dimensional watermarked vector to the feature matrix has a unique optimal solution, which can be derived by a constrained least-square approach. Through intensive computer simulations, it is shown that the proposed scheme provides robustness against transcoding, including frame-rate change, frame averaging, as well as interframe collusion attacks. |
Year | DOI | Venue |
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2004 | 10.1155/S1110865704405046 | EURASIP J. Adv. Sig. Proc. |
Keywords | Field | DocType |
collusion attack,frame averaging,feature matrix,interframe collusion attack,rst-resilient video,frame-rate change,two-dimensional feature matrix,frame shuffling,column vector,video watermarking,scene-based feature extraction,video sequence,feature extraction | Computer vision,Transcoding,Digital watermarking,Computer science,Feature extraction,Watermark,Robustness (computer science),Shuffling,Artificial intelligence,Inter frame,Collusion | Journal |
Volume | Issue | ISSN |
2004, | 14 | 1687-6180 |
Citations | PageRank | References |
7 | 0.51 | 18 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Han-seung Jung | 1 | 17 | 2.47 |
Young-Yoon Lee | 2 | 68 | 9.62 |
Sang Uk Lee | 3 | 1879 | 180.39 |