{"id":"https://openalex.org/W4406861213","doi":"https://doi.org/10.1109/vcip63160.2024.10849839","title":"Quadrature Color Vibration Method for Improving Robustness of Imperceptible Markers Embedded in Video","display_name":"Quadrature Color Vibration Method for Improving Robustness of Imperceptible Markers Embedded in Video","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4406861213","doi":"https://doi.org/10.1109/vcip63160.2024.10849839"},"language":"en","primary_location":{"id":"doi:10.1109/vcip63160.2024.10849839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip63160.2024.10849839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"},"type":"article","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/A5116047606","display_name":"Yuta Kibayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuta Kibayashi","raw_affiliation_strings":["The Univ. of Tokyo,Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062982378","display_name":"Kota Araki","orcid":"https://orcid.org/0009-0000-7050-2792"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kota Araki","raw_affiliation_strings":["The Univ. of Tokyo,Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yasunori Akashi","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasunori Akashi","raw_affiliation_strings":["The Univ. of Tokyo,Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018127449","display_name":"Changyo Han","orcid":"https://orcid.org/0000-0002-9925-3010"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Changyo Han","raw_affiliation_strings":["The Univ. of Tokyo,Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067212480","display_name":"Takeshi Naemura","orcid":"https://orcid.org/0000-0002-6653-000X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Naemura","raw_affiliation_strings":["The Univ. of Tokyo,Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5116047606"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.3303,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68075812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9070000052452087,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9070000052452087,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9003000259399414,"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/robustness","display_name":"Robustness (evolution)","score":0.8054471015930176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6965044736862183},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5272064805030823},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.49955010414123535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4603995382785797},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.16600120067596436},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09139278531074524}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8054471015930176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6965044736862183},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5272064805030823},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.49955010414123535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4603995382785797},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.16600120067596436},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09139278531074524},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip63160.2024.10849839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip63160.2024.10849839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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":8,"referenced_works":["https://openalex.org/W1988885408","https://openalex.org/W2017509009","https://openalex.org/W2083160451","https://openalex.org/W2159025145","https://openalex.org/W2990024849","https://openalex.org/W3039499499","https://openalex.org/W4307485691","https://openalex.org/W4313391434"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0],"imperceptible":[1,7],"color":[2,69],"vibration":[3],"method,":[4],"which":[5,47,80],"embeds":[6],"patterns":[8],"in":[9,35,98],"display":[10],"images":[11],"through":[12],"rapid":[13],"chromatic":[14,65],"changes,":[15],"enables":[16],"the":[17,25,51,58,68,72,105,110,120,127,130],"presentation":[18],"of":[19,28,129],"information":[20],"to":[21,50,114],"machines":[22],"while":[23],"maintaining":[24],"viewing":[26],"experience":[27],"users.":[29],"However,":[30],"when":[31],"markers":[32],"are":[33],"embedded":[34],"video":[36,99],"images,":[37],"decoding":[38,91,111,124,133],"becomes":[39],"challenging":[40],"during":[41,92],"periods":[42,93],"with":[43,94],"significant":[44,95],"interframe":[45,96],"differences,":[46],"adds":[48],"noise":[49],"decoding.":[52],"In":[53],"this":[54],"study,":[55],"we":[56,76,118],"enhanced":[57],"signal-point":[59],"distance":[60],"by":[61],"embedding":[62],"two":[63],"quadrature":[64],"changes":[66],"within":[67],"space":[70],"across":[71],"entire":[73],"image.":[74],"Additionally,":[75],"employed":[77],"soft-decision":[78,132],"decoding,":[79],"involves":[81],"accumulating":[82],"multiple":[83],"confidence":[84],"values":[85],"per":[86],"pixel,":[87],"thereby":[88],"enabling":[89],"robust":[90],"differences":[97],"images.":[100],"Our":[101],"evaluation":[102],"confirmed":[103],"that":[104],"proposed":[106,131],"method":[107],"significantly":[108],"improves":[109],"rate":[112],"compared":[113],"conventional":[115],"techniques.":[116],"Furthermore,":[117],"measured":[119],"time":[121],"required":[122],"for":[123],"and":[125],"verified":[126],"effectiveness":[128],"method.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2025-10-10T00:00:00"}
