Title
RST-resilient video watermarking using scene-based feature extraction
Abstract
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
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 Jung1172.47
Young-Yoon Lee2689.62
Sang Uk Lee31879180.39