{"id":"https://openalex.org/W4283378172","doi":"https://doi.org/10.1145/3512527.3531441","title":"ICDAR'22: Intelligent Cross-Data Analysis and Retrieval","display_name":"ICDAR'22: Intelligent Cross-Data Analysis and Retrieval","publication_year":2022,"publication_date":"2022-06-23","ids":{"openalex":"https://openalex.org/W4283378172","doi":"https://doi.org/10.1145/3512527.3531441"},"language":"en","primary_location":{"id":"doi:10.1145/3512527.3531441","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512527.3531441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Conference on Multimedia Retrieval","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/A5023083273","display_name":"Minh-Son Dao","orcid":"https://orcid.org/0000-0003-3044-8175"},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Minh-Son Dao","raw_affiliation_strings":["National Institute of Information and Communications Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Information and Communications Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I90023481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102968267","display_name":"Michael A. Riegler","orcid":"https://orcid.org/0000-0002-3153-2064"},"institutions":[{"id":"https://openalex.org/I4210153474","display_name":"Simula Metropolitan Center for Digital Engineering","ror":"https://ror.org/04xtarr15","country_code":"NO","type":"nonprofit","lineage":["https://openalex.org/I184531372","https://openalex.org/I2799829267","https://openalex.org/I4210153474"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Michael Alexander Riegler","raw_affiliation_strings":["Simula Metropolitan Center for Digital Engineering and University of Troms\u00f8, Troms\u00f8, Norway"],"affiliations":[{"raw_affiliation_string":"Simula Metropolitan Center for Digital Engineering and University of Troms\u00f8, Troms\u00f8, Norway","institution_ids":["https://openalex.org/I4210153474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064606251","display_name":"Duc\u2010Tien Dang\u2010Nguyen","orcid":"https://orcid.org/0000-0002-2761-2213"},"institutions":[{"id":"https://openalex.org/I4432739","display_name":"University of Bergen","ror":"https://ror.org/03zga2b32","country_code":"NO","type":"education","lineage":["https://openalex.org/I4432739"]},{"id":"https://openalex.org/I2800207870","display_name":"H\u00f8yskolen Kristiania","ror":"https://ror.org/03gss5916","country_code":"NO","type":"education","lineage":["https://openalex.org/I2800207870"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Duc-Tien Dang-Nguyen","raw_affiliation_strings":["University of Bergen and Kristiania University College, Bergen, Norway"],"affiliations":[{"raw_affiliation_string":"University of Bergen and Kristiania University College, Bergen, Norway","institution_ids":["https://openalex.org/I2800207870","https://openalex.org/I4432739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014224452","display_name":"Cathal Gurrin","orcid":"https://orcid.org/0000-0003-2903-3968"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Cathal Gurrin","raw_affiliation_strings":["Dublin City University, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Dublin City University, Dublin, Ireland","institution_ids":["https://openalex.org/I42934936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065649079","display_name":"Yuta Nakashima","orcid":"https://orcid.org/0000-0001-8000-3567"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Nakashima","raw_affiliation_strings":["Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061453937","display_name":"Mianxiong Dong","orcid":"https://orcid.org/0000-0002-2788-3451"},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mianxiong Dong","raw_affiliation_strings":["Muroran Institute of Technology, Muroran, Japan"],"affiliations":[{"raw_affiliation_string":"Muroran Institute of Technology, Muroran, Japan","institution_ids":["https://openalex.org/I41725924"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5023083273"],"corresponding_institution_ids":["https://openalex.org/I90023481"],"apc_list":null,"apc_paid":null,"fwci":0.3031,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58349907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"690","last_page":"691"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.503600001335144,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.503600001335144,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.6374710202217102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42142951488494873}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6374710202217102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42142951488494873}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3512527.3531441","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512527.3531441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Conference on Multimedia Retrieval","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2093578348","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2096946506","https://openalex.org/W2766271392","https://openalex.org/W3107474891"],"abstract_inverted_index":{"We":[0],"have":[1,70],"witnessed":[2],"the":[3,24,34,52,105],"rise":[4],"of":[5,58],"cross-data":[6,74,90],"against":[7],"multimodal":[8,67],"data":[9,68],"problems":[10],"recently.":[11],"The":[12],"cross-modal":[13,76],"retrieval":[14,93],"system":[15],"uses":[16],"a":[17,98],"textual":[18],"query":[19],"to":[20,50,87,96,102],"look":[21],"for":[22],"images;":[23,33],"air":[25],"quality":[26,54],"index":[27],"can":[28,36,48],"be":[29,37],"predicted":[30,38],"using":[31,39],"lifelogging":[32],"congestion":[35],"weather":[40],"and":[41,46,92,95,113,128,135,142],"tweets":[42],"data;":[43],"daily":[44],"exercises":[45],"meals":[47],"help":[49],"predict":[51],"sleeping":[53],"are":[55],"some":[56],"examples":[57],"this":[59],"research":[60,80,94,126],"direction.":[61],"Although":[62],"vast":[63],"investigations":[64],"focusing":[65],"on":[66,109],"analytics":[69,91],"been":[71,82],"developed,":[72],"few":[73],"(e.g.,":[75],"data,":[77],"cross-domain,":[78],"cross-platform)":[79],"has":[81],"carried":[83],"on.":[84],"In":[85],"order":[86],"promote":[88],"intelligent":[89],"bring":[97],"smart,":[99],"sustainable":[100],"society":[101],"human":[103],"beings,":[104],"specific":[106],"article":[107],"collection":[108],"\"Intelligent":[110],"Cross-Data":[111],"Analysis":[112],"Retrieval\"":[114],"is":[115],"introduced.":[116],"This":[117],"Research":[118],"Topic":[119],"welcomes":[120],"those":[121],"who":[122],"come":[123],"from":[124],"diverse":[125],"domains":[127],"disciplines":[129],"such":[130],"as":[131],"well-being,":[132],"disaster":[133],"prevention":[134],"mitigation,":[136],"mobility,":[137],"climate":[138],"change,":[139],"tourism,":[140],"healthcare,":[141],"food":[143],"computing":[144]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
