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Conference Paper: Towards a 2D vector map with a feature nodes based watermarking method

TitleTowards a 2D vector map with a feature nodes based watermarking method
Authors
KeywordsDigital watermark
Similarity
Vector map
Robustness
Feature nodes
Issue Date2008
Citation
Proceedings of SPIE - The International Society for Optical Engineering, 2008, v. 7146 How to Cite?
AbstractWith a wide use of vector maps, the copyright issue is educing an increasing importance and attracting focus on the transmission and the exchange of the vector maps through a network environment. This paper discusses a feature nodes based watermarking method (FNBW) towards keeping robustness and high accuracy of digital map based on SVG and GML format. The digital map treats as a set of curves in the embedding algorithm, and each curve was divided up into several shorter curves under two given thresholds. And then a watermark bit combined with user certificate was embedded into each segment around the feature nodes with the maximum curvature in the segment series nodes. To extract the watermark, all watermark nodes were calculated and searched for in the watermarked map with the Watermark node Searching Algorithm by using the original map. Finally the method calculates the similarity between the original watermark bits and the extracted ones, and determines whether the watermark exists or not. As the experiment result shown, the method not only guarantees the accuracy of vector map but also possesses the good robustness, such as it gives 1.00 similarity under no attack or only geometric transformation with the map; And the anticopping ability is also good enough to give a more than 0.87 similarity for the map cropped 80%. In addition, the method has the full ability of anti-compression lossless methods and good ability to the loss approaches. And an experiment curve of the similarity threshold was given in the paper, which helped to control the anti-attack ability of the watermark and set parameters for an automatic procedure of watermark detection. © 2008 SPIE.
Persistent Identifierhttp://hdl.handle.net/10722/277610
ISSN
2020 SCImago Journal Rankings: 0.192
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, Yan-
dc.contributor.authorZhang, Hongsheng-
dc.date.accessioned2019-09-27T08:29:28Z-
dc.date.available2019-09-27T08:29:28Z-
dc.date.issued2008-
dc.identifier.citationProceedings of SPIE - The International Society for Optical Engineering, 2008, v. 7146-
dc.identifier.issn0277-786X-
dc.identifier.urihttp://hdl.handle.net/10722/277610-
dc.description.abstractWith a wide use of vector maps, the copyright issue is educing an increasing importance and attracting focus on the transmission and the exchange of the vector maps through a network environment. This paper discusses a feature nodes based watermarking method (FNBW) towards keeping robustness and high accuracy of digital map based on SVG and GML format. The digital map treats as a set of curves in the embedding algorithm, and each curve was divided up into several shorter curves under two given thresholds. And then a watermark bit combined with user certificate was embedded into each segment around the feature nodes with the maximum curvature in the segment series nodes. To extract the watermark, all watermark nodes were calculated and searched for in the watermarked map with the Watermark node Searching Algorithm by using the original map. Finally the method calculates the similarity between the original watermark bits and the extracted ones, and determines whether the watermark exists or not. As the experiment result shown, the method not only guarantees the accuracy of vector map but also possesses the good robustness, such as it gives 1.00 similarity under no attack or only geometric transformation with the map; And the anticopping ability is also good enough to give a more than 0.87 similarity for the map cropped 80%. In addition, the method has the full ability of anti-compression lossless methods and good ability to the loss approaches. And an experiment curve of the similarity threshold was given in the paper, which helped to control the anti-attack ability of the watermark and set parameters for an automatic procedure of watermark detection. © 2008 SPIE.-
dc.languageeng-
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineering-
dc.subjectDigital watermark-
dc.subjectSimilarity-
dc.subjectVector map-
dc.subjectRobustness-
dc.subjectFeature nodes-
dc.titleTowards a 2D vector map with a feature nodes based watermarking method-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1117/12.813153-
dc.identifier.scopuseid_2-s2.0-62649101875-
dc.identifier.volume7146-
dc.identifier.spagenull-
dc.identifier.epagenull-
dc.identifier.isiWOS:000285716400060-
dc.identifier.issnl0277-786X-

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