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Invisible Graffiti on Your Buildings: Blind and Squaring-Proof Watermarking of Geographical Databases.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Pandu Rangan, C.
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Papadias, Dimitris
Zhang, Donghui
Kollios, George
Lafaye, Julien
Béguec, Jean
Source :
Advances in Spatial & Temporal Databases (9783540735397); 2007, p312-329, 18p
Publication Year :
2007

Abstract

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 adressed by existing approaches. The impact on the quality of the datasets, 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540735397
Database :
Complementary Index
Journal :
Advances in Spatial & Temporal Databases (9783540735397)
Publication Type :
Book
Accession number :
33421135
Full Text :
https://doi.org/10.1007/978-3-540-73540-3_18