Ontology type: schema:ScholarlyArticle
2005-12
AUTHORSHuiping Guo, Nicolas D. Georganas
ABSTRACTThe current image watermarking schemes only involve one key, thus can not resolve the problem of joint ownership. This paper proposes two totally new algorithms that make use of a secret sharing scheme in cryptography to address this problem. The first one applies Shamir's (2,2) threshold scheme to the watermarking algorithm. A watermark, which is a gaussian distributed random vector determined by two keys, is embedded to selected coefficients in all middle bands in the wavelet domain of an image, so that only when the two keys are put together can the ownership be verified. The second algorithm is a modification of the first one. Three random watermarks are embedded to middle bands in the wavelet domain of an image. For the watermark detection, two thresholds are set, so the watermark detector can verify partial ownership as well as full ownership. Experimental results show that both algorithms have the desired properties such as invisibility, reliable detection and robustness against a wide range of imaging processing operations. More... »
PAGES323-349
http://scigraph.springernature.com/pub.10.1007/s11042-005-3812-3
DOIhttp://dx.doi.org/10.1007/s11042-005-3812-3
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1000089738
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Artificial Intelligence and Image Processing",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Information and Computing Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "University of Ottawa",
"id": "https://www.grid.ac/institutes/grid.28046.38",
"name": [
"School of Information Technology and Engineering, University of Ottawa, Ottawa, Ontario, Canada"
],
"type": "Organization"
},
"familyName": "Guo",
"givenName": "Huiping",
"id": "sg:person.016250260721.93",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016250260721.93"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Ottawa",
"id": "https://www.grid.ac/institutes/grid.28046.38",
"name": [
"School of Information Technology and Engineering, University of Ottawa, Ottawa, Ontario, Canada"
],
"type": "Organization"
},
"familyName": "Georganas",
"givenName": "Nicolas D.",
"id": "sg:person.0671247226.24",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671247226.24"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/3-540-49264-x_15",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000506894",
"https://doi.org/10.1007/3-540-49264-x_15"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/3-540-49264-x_15",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000506894",
"https://doi.org/10.1007/3-540-49264-x_15"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/comjnl/37.3.199",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005562450"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1008107127819",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005874575",
"https://doi.org/10.1023/a:1008107127819"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1145/641007.641085",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013201149"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0165-1684(00)00205-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016219526"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1117/12.385012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029024061"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1145/500141.500189",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032086111"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1145/278476.278487",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033685257"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1145/359168.359176",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036015253"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/18.923725",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061101653"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/49.668975",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061177880"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/49.668976",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061177881"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/5.771068",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061180052"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/6046.890056",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061198504"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/82.718818",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061238379"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/83.650120",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061239673"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/83.817598",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061240037"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/83.918569",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061240316"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tit.1983.1056659",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061648839"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1147/sj.353.0313",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1063184392"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/icip.1997.647964",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093719216"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/icip.1998.723406",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093849787"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/icip.2000.899548",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094849615"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/itcc.2000.844175",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095288949"
],
"type": "CreativeWork"
}
],
"datePublished": "2005-12",
"datePublishedReg": "2005-12-01",
"description": "The current image watermarking schemes only involve one key, thus can not resolve the problem of joint ownership. This paper proposes two totally new algorithms that make use of a secret sharing scheme in cryptography to address this problem. The first one applies Shamir's (2,2) threshold scheme to the watermarking algorithm. A watermark, which is a gaussian distributed random vector determined by two keys, is embedded to selected coefficients in all middle bands in the wavelet domain of an image, so that only when the two keys are put together can the ownership be verified. The second algorithm is a modification of the first one. Three random watermarks are embedded to middle bands in the wavelet domain of an image. For the watermark detection, two thresholds are set, so the watermark detector can verify partial ownership as well as full ownership. Experimental results show that both algorithms have the desired properties such as invisibility, reliable detection and robustness against a wide range of imaging processing operations.",
"genre": "research_article",
"id": "sg:pub.10.1007/s11042-005-3812-3",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1044869",
"issn": [
"1380-7501",
"1573-7721"
],
"name": "Multimedia Tools and Applications",
"type": "Periodical"
},
{
"issueNumber": "3",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "27"
}
],
"name": "Jointly Verifying Ownership of an Image Using Digital Watermarking",
"pagination": "323-349",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"006d4e85cbbcf80fba6f6079b6c709f9146c2338f978247ad29979bac187f877"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s11042-005-3812-3"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1000089738"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s11042-005-3812-3",
"https://app.dimensions.ai/details/publication/pub.1000089738"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T12:36",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000363_0000000363/records_70032_00000000.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007%2Fs11042-005-3812-3"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11042-005-3812-3'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11042-005-3812-3'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11042-005-3812-3'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11042-005-3812-3'
This table displays all metadata directly associated to this object as RDF triples.
142 TRIPLES
21 PREDICATES
51 URIs
19 LITERALS
7 BLANK NODES