Paper
21 March 2005 Illustration watermarking: an object-based approach for digital images
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Abstract
Digital watermarking techniques are used for a variety of applications, e.g. to protect copyrights of users, to guarantee the integrity of content or to provide additional information embedded in the media. Irrespective of the application, in common watermarking algorithms embedded information is either spread over the entire medium or concentrated at dedicated positions given by a visual or psychoacoustical model. In most cases syntactical and not semantical aspects determine embedding. In our paper we introduce an object-based DWT annotation watermarking scheme respecting the semantical characteristics of digital images for a so-called illustration watermarking. Here the goal is to embed annotation directly into the image objects by illustrating them with further information. Beside the semantic analysis for the illustrations we evaluate the competing properties capacity, non-perceptibility and robustness. Security issues are less important, since an annotation watermark does generally not need to be difficult to remove. If an attacker wants to destroy the embedded information there is often no need to keep him from that. Annotated data would lose value and therefore there is in most cases no attack motivation. After discussing the requirements for object-based watermarking we introduce the model of watermarking of data for illustrating the content and describe generic watermark embedding and extraction, as well as all necessary preprocessing like segmentation, feature extraction and the visual model.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas Vogel and Jana Dittmann "Illustration watermarking: an object-based approach for digital images", Proc. SPIE 5681, Security, Steganography, and Watermarking of Multimedia Contents VII, (21 March 2005); https://doi.org/10.1117/12.586977
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Digital watermarking

Image processing

Image segmentation

Visualization

Visual process modeling

Databases

Image quality

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