Information Hiding Techniques for Steganography and Digital Watermarking
Information Hiding Techniques for Steganography and Digital Watermarking
Digital Geographical Map Watermarking Using Polyline Interpolation
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Query-preserving watermarking of relational databases and XML documents
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Watermarking 2D Vector Maps in the Mesh-Spectral Domain
SMI '03 Proceedings of the Shape Modeling International 2003
A Vector Watermarking Using the Generalized Square Mask
ITCC '01 Proceedings of the International Conference on Information Technology: Coding and Computing
Watermarking relational data: framework, algorithms and analysis
The VLDB Journal — The International Journal on Very Large Data Bases
A high capacity watermarking system for digital maps
Proceedings of the 2004 workshop on Multimedia and security
Rights Protection for Relational Data
IEEE Transactions on Knowledge and Data Engineering
A blind, fast and robust method for geographical data watermarking
ASIACCS '07 Proceedings of the 2nd ACM symposium on Information, computer and communications security
Watermill: An Optimized Fingerprinting System for Databases under Constraints
IEEE Transactions on Knowledge and Data Engineering
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Due to the ease of digital copy, watermarking is crucial to protect the intellectual property of rights owners. We propose an effective watermarking method for vectorial geographical databases, with the focus on the buildings layer. Embedded watermarks survive common geographical filters, including the essential squaring and simplification transformations, as well as deliberate removal attempts, e.g. by noise addition, cropping or over-watermarking. Robustness against the squaring transformation is not addressed by existing approaches. The impact on the quality of the data sets, defined as a composition of point accuracy and angular quality, is assessed through an extensive series of experiments. Our method is based on a quantization of the distance between the centroid of the building and its extremal vertex according to its orientation.