{"id":"https://openalex.org/W2226944444","doi":null,"title":"Watermarking based on unified pattern recognition framework","display_name":"Watermarking based on unified pattern recognition framework","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2226944444","mag":"2226944444"},"language":"en","primary_location":{"id":"mag:2226944444","doi":null,"is_oa":false,"landing_page_url":"https://dl.acm.org/citation.cfm?id=1571093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5111439321","display_name":"Mandyam D. Srinath","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M Srinath","raw_affiliation_strings":["Southern Methodist Univ.#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Methodist Univ.#TAB#","institution_ids":["https://openalex.org/I178169726"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007323351","display_name":"Bing Ouyang","orcid":"https://orcid.org/0000-0003-4663-8088","observed_orcids":["https://orcid.org/0000-0003-4663-8088"]},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bing Ouyang","raw_affiliation_strings":["Southern Methodist Univ.#TAB#"],"raw_orcid":"https://orcid.org/0000-0003-4663-8088","affiliations":[{"raw_affiliation_string":"Southern Methodist Univ.#TAB#","institution_ids":["https://openalex.org/I178169726"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I178169726"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":9.999999747378752e-05,"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":9.999999747378752e-05,"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-image-watermarking","display_name":"image watermarking","score":0.7900000214576721},{"id":"https://openalex.org/keywords/blind-watermarking","display_name":"blind watermarking","score":0.8410000205039978},{"id":"https://openalex.org/keywords/zernike-moments","display_name":"Zernike moments","score":0.8920000195503235},{"id":"https://openalex.org/keywords/geometric-attacks","display_name":"geometric attacks","score":0.6100000143051147},{"id":"https://openalex.org/keywords/watermark-synchronization","display_name":"watermark synchronization","score":0.6320000290870667},{"id":"https://openalex.org/keywords/video-watermarking","display_name":"video watermarking","score":0.7559999823570251},{"id":"https://openalex.org/keywords/copyright-protection","display_name":"copyright protection","score":0.43700000643730164}],"concepts":[{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.9162087440490723},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.8128129243850708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6665118336677551},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6304336786270142},{"id":"https://openalex.org/C92423082","wikidata":"https://www.wikidata.org/wiki/Q132146","display_name":"Zernike polynomials","level":3,"score":0.5380408763885498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.470512330532074},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4573987126350403},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.4429941773414612},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.44115594029426575},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4359986186027527},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43336474895477295},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4299823045730591},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.40364721417427063},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3502327799797058},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3042483329772949},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C165699331","wikidata":"https://www.wikidata.org/wiki/Q461533","display_name":"Wavefront","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2226944444","doi":null,"is_oa":false,"landing_page_url":"https://dl.acm.org/citation.cfm?id=1571093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1530929747","https://openalex.org/W1555614281","https://openalex.org/W2089042189","https://openalex.org/W2098152888","https://openalex.org/W2101444370","https://openalex.org/W2105778111","https://openalex.org/W2106993989","https://openalex.org/W2109200236","https://openalex.org/W2109722393","https://openalex.org/W2116467012","https://openalex.org/W2137694319","https://openalex.org/W2159498975","https://openalex.org/W2168501771","https://openalex.org/W2177274842","https://openalex.org/W2544137582"],"related_works":["https://openalex.org/W2127623659","https://openalex.org/W2070043240","https://openalex.org/W2127396544","https://openalex.org/W2014068846","https://openalex.org/W4229779231","https://openalex.org/W2105624281","https://openalex.org/W2157001182","https://openalex.org/W1973165700","https://openalex.org/W2126191547","https://openalex.org/W2330305514"],"abstract_inverted_index":{"Digital":[0],"watermarking":[1,20,55,103,151,200,357,362],"has":[2,60],"emerged":[3],"as":[4,85,229,256],"a":[5,100,180,196,203,252,257,269,278,288],"potentially":[6],"effective":[7],"tool":[8],"for":[9],"multimedia":[10],"copyright":[11],"protection,":[12],"authentication":[13],"and":[14,28,48,94,113,122,160,177,214,232,314,367],"tamper":[15],"proofing.":[16],"Various":[17],"approaches":[18,339],"to":[19,41,67,76,81,118,138,224,240,244,260,355],"have":[21,73,134],"been":[22,74],"proposed":[23,99,331],"which":[24],"exploit":[25],"image":[26,29,54,58,71,82,102,168,189,199,266,311,347],"properties":[27],"processing":[30],"techniques":[31,152],"in":[32,45,86,140,319,340],"different":[33],"domains.":[34,50],"The":[35,143,273,305,350],"majority":[36],"of":[37,264,277,281,307,310,336],"the":[38,68,128,141,147,155,166,175,194,230,234,242,246,250,262,265,282,294,300,334],"algorithms":[39],"developed":[40],"date":[42],"are":[43,110,183,322,373],"concentrated":[44],"spatial,":[46],"frequency,":[47],"wavelet":[49],"In":[51,130,210],"recent":[52],"years,":[53],"based":[56,150],"on":[57,165],"moments":[59,72,107,149,267,312],"drawn":[61],"more":[62],"interest.":[63],"This":[64],"is":[65,153,162,208,352],"due":[66],"fact":[69],"that":[70,154,329,345,364],"shown":[75],"be":[77,116,119],"robust":[78],"with":[79,146,237,268,287,342],"respect":[80],"variations":[83],"such":[84],"scale":[87,121,235],"or":[88,191],"position.":[89],"Recently,":[90],"H.":[91,95],"S.":[92],"Kim":[93],"K.":[96],"Lee":[97],"[24]":[98],"new":[101,197],"technique":[104],"using":[105,202,326],"Zernike":[106],"(ZM).":[108],"ZM":[109,132],"rotation":[111],"invariant":[112,124,221,227],"they":[114,182],"can":[115],"made":[117],"both":[120,174,211],"translation":[123],"by":[125,292,297],"properly":[126],"normalizing":[127],"image.":[129,142],"addition,":[131],"also":[133],"very":[135],"good":[136],"resistance":[137],"noise":[139],"fundamental":[144],"problem":[145],"existing":[148,337],"watermark":[156,212,274],"synchronization":[157],"between":[158],"source":[159,176],"receiver":[161],"depend":[163],"critically":[164],"same":[167,301],"centroid":[169],"location":[170],"being":[171],"detected":[172],"at":[173],"receiver.":[178],"As":[179],"result,":[181],"vulnerable":[184],"against":[185],"geometric":[186,343],"attacks":[187,344],"involves":[188],"cropping":[190],"padding.":[192],"\r\nIn":[193],"research,":[195],"blind":[198],"scheme":[201],"novel":[204],"pattern":[205],"recognition":[206],"framework":[207,321,332,351],"presented.":[209],"embedding":[213,249],"extraction,":[215],"we":[216],"first":[217],"utilize":[218,365],"an":[219,226],"affine":[220],"point":[222,228,239],"detector":[223],"determine":[225,241],"center":[231],"use":[233],"associated":[236],"this":[238,320,330],"region":[243],"embed/detect":[245],"watermark.":[247],"When":[248],"watermark,":[251],"self-similar":[253,302],"sequence":[254,286,290],"serves":[255],"quantization":[258,303],"function":[259,296],"modulate":[261],"amplitude":[263,295],"pseudo":[270,284],"random":[271,285],"sequence.":[272],"detection":[275],"consists":[276],"weighted":[279],"correlation":[280],"original":[283],"binary":[289],"extracted":[291],"demodulating":[293],"searching":[298],"through":[299],"function.":[304],"performances":[306],"two":[308,360],"types":[309],"(ZM":[313],"Radial":[315],"Tchebichef":[316],"Moments":[317],"(RTM))":[318],"studied.":[323],"Experiments":[324],"conducted":[325],"Stirmark4":[327],"demonstrate":[328],"overcomes":[333],"limitation":[335],"moments-based":[338],"dealing":[341],"involve":[346],"cropping/padding":[348],"operations.":[349],"then":[353],"extended":[354],"video":[356,361],"realm,":[358],"where":[359],"implementations":[363],"RTM":[366],"Hu\u2019s":[368],"moment":[369],"invariants":[370],"(MI)":[371],"respectively":[372],"discussed.":[374]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2016-06-24T00:00:00"}