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Maximal stable extremal regions for robust video watermarking

: Berchtold, Waldemar; Schäfer, Marcel; Steinebach, Martin


Society for Imaging Science and Technology -IS&T-:
IS&T International Symposium on Electronic Imaging 2016. Media Watermarking, Security, and Forensics. Online resource : 14-18 February 2016, San Francisco, California, USA
Springfield/Va.: IS&T, 2016;jsessionid=bwmjje2k9u40.x-ic-live-03
8 pp.
International Symposium on Electronic Imaging <2016, San Francisco/Calif.>
Conference Paper
Fraunhofer SIT ()

This paper presents a video watermarking algorithm that is designed to resist the analog gap beside other known attacks. The analog gap, i.e. re-recording e.g. with a camcorder from a screen, poses a huge challenge for digital video watermarking applications. A satisfactory solution is not known yet. In this work we propose a novel transparent and blind video watermarking algorithm that uses so called maximal stable extremal regions (MSER) for identifying regions of the video, in which a watermark is capable to survive many attacks, even the analog gap. Therefore, for embedding as well as detecting, each frame of the video has to be analyzed and stable regions ought to be found. For the embedding, all selected regions are approximated by circles. By means of the orientation of the MSER-Region the preprocessed pattern are adjusted, scaled and added to the content. The MSER itself is amplified to increase the recognition on the detector side. To keep the transparency high the Laplacian matrix is used as psycho visual model as well as the scene detection to reduce the flickering effect.