{"id":"https://openalex.org/W2203669009","doi":"https://doi.org/10.1109/have.2015.7359451","title":"Adaptive digital watermarking using RDWT and SVD","display_name":"Adaptive digital watermarking using RDWT and SVD","publication_year":2015,"publication_date":"2015-10-11","ids":{"openalex":"https://openalex.org/W2203669009","doi":"https://doi.org/10.1109/have.2015.7359451","mag":"2203669009"},"language":"en","primary_location":{"id":"doi:10.1109/have.2015.7359451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/have.2015.7359451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Haptic, Audio and Visual Environments and Games (HAVE)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114208250","display_name":"Lei Chen","orcid":"https://orcid.org/0009-0006-2242-7269"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102917691","display_name":"Jiying Zhao","orcid":"https://orcid.org/0000-0002-7921-6503"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiying Zhao","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"86","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.8113152384757996},{"id":"https://openalex.org/keywords/watermark","display_name":"Watermark","score":0.7467108368873596},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7233815789222717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6697524189949036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6650250554084778},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5842850804328918},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5775849223136902},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.504034698009491},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5037218928337097},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.36704492568969727},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3633713126182556},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3121527135372162},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.30799853801727295}],"concepts":[{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.8113152384757996},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.7467108368873596},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7233815789222717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6697524189949036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6650250554084778},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5842850804328918},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5775849223136902},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.504034698009491},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5037218928337097},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.36704492568969727},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3633713126182556},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3121527135372162},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.30799853801727295},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/have.2015.7359451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/have.2015.7359451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Haptic, Audio and Visual Environments and Games (HAVE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1528207269","https://openalex.org/W1968265196","https://openalex.org/W2053183021","https://openalex.org/W2103320971","https://openalex.org/W2110623466","https://openalex.org/W2131191420","https://openalex.org/W2131559909","https://openalex.org/W2168725090","https://openalex.org/W2169111714","https://openalex.org/W4239883254"],"related_works":["https://openalex.org/W2358993821","https://openalex.org/W1516446231","https://openalex.org/W2098152888","https://openalex.org/W1559740347","https://openalex.org/W2040356834","https://openalex.org/W2080353903","https://openalex.org/W2385289568","https://openalex.org/W2381486749","https://openalex.org/W1514507288","https://openalex.org/W2137394636"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"new":[4],"scheme":[5],"for":[6,92],"secure":[7],"digital":[8],"watermarking":[9],"and":[10,27,35,42,90,113],"copyright":[11],"protection":[12],"of":[13,50,56,65,110],"videos.":[14],"The":[15,32,53,86,95],"approach":[16,87,102],"presented":[17],"here":[18],"is":[19,45,74,88],"based":[20],"on":[21],"redundant":[22],"discrete":[23],"wavelet":[24],"transform":[25],"(RDWT)":[26],"singular":[28,54,63],"value":[29],"decomposition":[30],"(SVD).":[31],"video":[33],"frames":[34],"the":[36,43,48,51,57,62,66,70,78,100,111,114],"watermark":[37,44,71,115],"are":[38,59],"decomposed":[39],"by":[40],"RDWT,":[41],"embedded":[46],"into":[47],"subbands":[49],"I-frames.":[52],"values":[55,64],"I-frames":[58],"modified":[60],"with":[61,83],"visual":[67],"watermark.":[68],"Meanwhile,":[69],"embedding":[72],"strength":[73],"adjusted":[75],"adaptively":[76],"using":[77],"noise":[79],"visibility":[80],"function":[81],"(NVF)":[82],"local":[84],"properties.":[85],"efficient":[89],"appropriate":[91],"real-time":[93],"applications.":[94],"experimental":[96],"results":[97],"demonstrate":[98],"that":[99],"proposed":[101],"has":[103],"good":[104],"performance":[105],"in":[106],"preserving":[107],"high":[108],"quality":[109],"video,":[112],"can":[116],"be":[117],"extracted":[118],"accurately":[119],"after":[120],"various":[121],"attacks.":[122]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
