Détail de l'autorité
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SSTD 2007, 10th International Symposium on spatial and temporal databases, Advances in Spatial and Temporal Databases 16/07/2007 18/07/2007 Boston Massachusetts - Etats-Unis Proceedings Springer
nom du congrès :
SSTD 2007, 10th International Symposium on spatial and temporal databases, Advances in Spatial and Temporal Databases
début du congrès :
16/07/2007
fin du congrès :
18/07/2007
ville du congrès :
Boston
pays du congrès :
Massachusetts - Etats-Unis
site des actes du congrès :
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Documents disponibles (1)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externesInvisible graffiti on your buildings: Blind and squaring-proof watermarking of geographical databases / Julien Lafaye (2007)
Titre : Invisible graffiti on your buildings: Blind and squaring-proof watermarking of geographical databases Type de document : Article/Communication Auteurs : Julien Lafaye, Auteur ; Jean Béguec, Auteur ; David Gross-Amblard, Auteur ; Anne Ruas Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2007 Collection : Lecture notes in Computer Science, ISSN 0302-9743 num. 4605 Conférence : SSTD 2007, 10th International Symposium on spatial and temporal databases, Advances in Spatial and Temporal Databases 16/07/2007 18/07/2007 Boston Massachusetts - Etats-Unis Proceedings Springer Importance : pp 312 - 329 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] propriété intellectuelle
[Termes IGN] tatouage numériqueRésumé : (auteur) 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. Numéro de notice : C2007-066 Affiliation des auteurs : COGIT+Ext (1988-2011) Thématique : GEOMATIQUE Nature : Communication DOI : 10.1007/978-3-540-73540-3_18 Date de publication en ligne : 18/08/2007 En ligne : https://doi.org/10.1007/978-3-540-73540-3_18 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102789
