{"id":"https://openalex.org/W4293518038","doi":"https://doi.org/10.1109/icme52920.2022.9859620","title":"Online Robust Specific and Consistent Hashing","display_name":"Online Robust Specific and Consistent Hashing","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4293518038","doi":"https://doi.org/10.1109/icme52920.2022.9859620"},"language":"en","primary_location":{"id":"doi:10.1109/icme52920.2022.9859620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859620","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","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/A5100308160","display_name":"Haitao Lin","orcid":"https://orcid.org/0009-0003-7627-3718"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Lin","raw_affiliation_strings":["Guangdong University of Technology,Department of Computer Science,China","Department of Computer Science, Guangdong University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology,Department of Computer Science,China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Department of Computer Science, Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048763159","display_name":"Min Meng","orcid":"https://orcid.org/0000-0002-5107-5585"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Meng","raw_affiliation_strings":["Guangdong University of Technology,Department of Computer Science,China","Department of Computer Science, Guangdong University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology,Department of Computer Science,China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Department of Computer Science, Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060755096","display_name":"Jigang Wu","orcid":"https://orcid.org/0000-0002-6470-9794"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jigang Wu","raw_affiliation_strings":["Guangdong University of Technology,Department of Computer Science,China","Department of Computer Science, Guangdong University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology,Department of Computer Science,China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Department of Computer Science, Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9890999794006348,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9715999960899353,"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/hash-function","display_name":"Hash function","score":0.8264601230621338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8026162981987},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6952555775642395},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6061221361160278},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6011027097702026},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5562117099761963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5270407795906067},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.5259732604026794},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5148393511772156},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.4867951571941376},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.46108099818229675},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4561663269996643},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4222303330898285},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.414380818605423},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3965306580066681},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.30679917335510254},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.20539239048957825},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13269853591918945}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.8264601230621338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8026162981987},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6952555775642395},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6061221361160278},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6011027097702026},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5562117099761963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5270407795906067},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.5259732604026794},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5148393511772156},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.4867951571941376},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.46108099818229675},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4561663269996643},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4222303330898285},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.414380818605423},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3965306580066681},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.30679917335510254},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.20539239048957825},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13269853591918945},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme52920.2022.9859620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859620","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6800000071525574}],"awards":[{"id":"https://openalex.org/G8322873962","display_name":null,"funder_award_id":"62172109,62072118,62020106007,61836002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1893754589","https://openalex.org/W2006147162","https://openalex.org/W2007972815","https://openalex.org/W2155803963","https://openalex.org/W2430055109","https://openalex.org/W2602646780","https://openalex.org/W2787885212","https://openalex.org/W2897391546","https://openalex.org/W2905097026","https://openalex.org/W2906146234","https://openalex.org/W2962955826","https://openalex.org/W2964611936","https://openalex.org/W3034851464","https://openalex.org/W3034876737","https://openalex.org/W3092760908","https://openalex.org/W3107927687","https://openalex.org/W3175740157","https://openalex.org/W3196246284","https://openalex.org/W6755445399","https://openalex.org/W6784195073","https://openalex.org/W6797464634","https://openalex.org/W7020931602"],"related_works":["https://openalex.org/W2088296667","https://openalex.org/W1554555624","https://openalex.org/W2767764284","https://openalex.org/W2171626009","https://openalex.org/W3192973254","https://openalex.org/W3158263601","https://openalex.org/W2811247857","https://openalex.org/W4214915530","https://openalex.org/W230433452","https://openalex.org/W4205703661"],"abstract_inverted_index":{"Most":[0],"of":[1,74,113,135,146],"the":[2,43,57,77,99,133,144],"existing":[3,32],"cross-modal":[4],"hashing":[5],"(CMH)":[6],"methods":[7,26,35],"are":[8],"trained":[9],"in":[10,116],"a":[11,86],"batch-based":[12],"manner,":[13],"which":[14,107],"is":[15],"time-consuming":[16],"and":[17,91,104,124],"unable":[18],"to":[19,127,131],"handle":[20],"streaming":[21,114],"data.":[22],"Recently,":[23],"online":[24,33],"CMH":[25,34],"have":[27],"attracted":[28],"increasing":[29],"attention.":[30],"However,":[31],"face":[36],"two":[37],"limitations:":[38],"1)":[39],"they":[40,64],"usu-ally":[41],"excavate":[42],"common":[44],"semantic":[45,111],"information":[46,112],"by":[47],"learning":[48,68],"modality-specific":[49,105],"projection":[50,100],"matrix":[51],"for":[52],"each":[53],"modality,":[54],"while":[55],"ignoring":[56],"intrinsic":[58,110],"relationship":[59],"among":[60],"different":[61,117],"modali-ties;":[62],"2)":[63],"often":[65],"suffer":[66],"from":[67],"less":[69],"discriminative":[70],"hash":[71,136],"codes":[72],"because":[73],"insufficiently":[75],"exploiting":[76],"pairwise":[78],"similarity.":[79],"To":[80],"tackle":[81],"these":[82],"challenges,":[83],"we":[84,120],"propose":[85],"novel":[87],"Online":[88],"Robust":[89],"Specific":[90],"Consistent":[92],"Hashing":[93],"(ORSCH)":[94],"method.":[95],"Specifically,":[96],"ORSCH":[97],"decomposes":[98],"ma-trices":[101],"into":[102],"consistent":[103],"ones,":[106],"ef-fectively":[108],"exploits":[109],"data":[115],"modalities.":[118],"Furthermore,":[119],"utilize":[121],"both":[122],"dis-crete":[123],"continuous":[125],"labels":[126],"construct":[128],"affinity":[129],"matrices":[130],"improve":[132],"discrimination":[134],"codes.":[137],"Experiments":[138],"on":[139],"three":[140],"benchmark":[141],"datasets":[142],"show":[143],"superiority":[145],"ORSCH.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
