A scene-based video watermarking technique using SVMs

In this paper we present a scene-based video watermarking scheme using support vector machines (SVMs). In a given scene, the algorithm uses the first h´ frames to train an embedding SVM, and uses this SVM to watermark the rest of frames. In the extracting phrase, the detector uses center h frames of the first h´ frames to train an extracting SVM. The final extracted watermark in a given scene is the average of watermarks extracted from the remaining frames. Watermarks are embedded in l longest scenes of a video such that it is time efficient and capable to resist possible frames swapping/deleting /duplicating attacks. Collusion attacks on a watermarked video are examined. The proposed algorithm is shown to be robust to compression and collusion attacks, and it has novelty and practicability on SVM-applications.