Paper
9 May 2000 New approach for transformation-invariant image and video watermarking in the spatial domain: self-spanning patterns (SSP)
Author Affiliations +
Abstract
A variety of robust non-perceptual watermarking methods have been proposed to solve the illegal copying and proof of ownership problems. Although a number of broad claims have been made in the field of robustness of various digital watermarking methods. It is still difficult to handle combined or non-linear geometric transformations. In this paper we propose the SSP approach. We use a correlation based watermark pattern approach in the spatial domain which operates on image inherent properties when selecting the marking positions: self spanning patterns (SSP). Each watermark pattern which represents one information bit of the whole watermark string is spanned over four image inherent properties like image edges or corners. These four points specify a polygon over which the watermark pattern is spanned using a polygon filling algorithm. After transformations we search for our points based on the image characteristics. Then we span our pattern over the points and check if there was a one or a zero embedded. Continuing that for all pattern positions we can build the whole watermark string. The advantage of the SSPs is that transformations need not be recognized, the marking positions and our pattern shape can be automatically found.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jana Dittmann, Thomas Fiebig, and Ralf Steinmetz "New approach for transformation-invariant image and video watermarking in the spatial domain: self-spanning patterns (SSP)", Proc. SPIE 3971, Security and Watermarking of Multimedia Contents II, (9 May 2000); https://doi.org/10.1117/12.384971
Lens.org Logo
CITATIONS
Cited by 22 scholarly publications and 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Digital watermarking

Feature extraction

Video

Detection and tracking algorithms

Computer programming

Image analysis

Image compression

RELATED CONTENT

Descriptor-based video coding for machine for multi-task
Proceedings of SPIE (April 30 2022)
Watermarking in JPEG bitstream
Proceedings of SPIE (March 21 2005)
Classification of objects in a video sequence
Proceedings of SPIE (April 17 1995)
MPEG-7-based video annotation and browsing
Proceedings of SPIE (November 26 2003)

Back to Top