{"id":"https://openalex.org/W2042087308","doi":"https://doi.org/10.1002/meet.1450390142","title":"What do users see? Exploring the cognitive nature of functional image retrieval","display_name":"What do users see? Exploring the cognitive nature of functional image retrieval","publication_year":2002,"publication_date":"2002-11-01","ids":{"openalex":"https://openalex.org/W2042087308","doi":"https://doi.org/10.1002/meet.1450390142","mag":"2042087308"},"language":"en","primary_location":{"id":"doi:10.1002/meet.1450390142","is_oa":true,"landing_page_url":"https://doi.org/10.1002/meet.1450390142","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/meet.1450390142","source":{"id":"https://openalex.org/S4306523999","display_name":"Proceedings of the American Society for Information Science and Technology","issn_l":"1550-8390","issn":["1550-8390","1936-1734"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the American Society for Information Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/meet.1450390142","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071450282","display_name":"Howard Greisdorf","orcid":null},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Howard Greisdorf,","raw_affiliation_strings":["Texas Center for Digital Knowledge School of Library & Information Sciences P.O. Box 311068 University of North Texas 76203 Denton, Texas"],"affiliations":[{"raw_affiliation_string":"Texas Center for Digital Knowledge School of Library & Information Sciences P.O. Box 311068 University of North Texas 76203 Denton, Texas","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083552160","display_name":"Brian O\u2019Connor","orcid":"https://orcid.org/0000-0003-3317-7569"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Brian O'Connor,","raw_affiliation_strings":["Texas Center for Digital Knowledge School of Library & Information Sciences University of North Texas Denton, Texas"],"affiliations":[{"raw_affiliation_string":"Texas Center for Digital Knowledge School of Library & Information Sciences University of North Texas Denton, Texas","institution_ids":["https://openalex.org/I123534392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071450282","https://openalex.org/A5083552160"],"corresponding_institution_ids":["https://openalex.org/I123534392"],"apc_list":null,"apc_paid":null,"fwci":0.4627,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.61449917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"39","issue":"1","first_page":"383","last_page":"390"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification 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/T10824","display_name":"Image Retrieval and Classification 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"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":0.9822999835014343,"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/computer-science","display_name":"Computer science","score":0.7207952737808228},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6896810531616211},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6706057190895081},{"id":"https://openalex.org/keywords/realm","display_name":"Realm","score":0.633242130279541},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5839083790779114},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5698145627975464},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5624189376831055},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5345218777656555},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.45015424489974976},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44393327832221985},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4247302711009979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3262169361114502},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16554543375968933},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.14600816369056702},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07640260457992554}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7207952737808228},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6896810531616211},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6706057190895081},{"id":"https://openalex.org/C2778757428","wikidata":"https://www.wikidata.org/wiki/Q1250464","display_name":"Realm","level":2,"score":0.633242130279541},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5839083790779114},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5698145627975464},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5624189376831055},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5345218777656555},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.45015424489974976},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44393327832221985},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4247302711009979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3262169361114502},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16554543375968933},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14600816369056702},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07640260457992554},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/meet.1450390142","is_oa":true,"landing_page_url":"https://doi.org/10.1002/meet.1450390142","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/meet.1450390142","source":{"id":"https://openalex.org/S4306523999","display_name":"Proceedings of the American Society for Information Science and Technology","issn_l":"1550-8390","issn":["1550-8390","1936-1734"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the American Society for Information Science and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1002/meet.1450390142","is_oa":true,"landing_page_url":"https://doi.org/10.1002/meet.1450390142","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/meet.1450390142","source":{"id":"https://openalex.org/S4306523999","display_name":"Proceedings of the American Society for Information Science and Technology","issn_l":"1550-8390","issn":["1550-8390","1936-1734"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the American Society for Information Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2042087308.pdf","grobid_xml":"https://content.openalex.org/works/W2042087308.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W342277634","https://openalex.org/W567866871","https://openalex.org/W1578454099","https://openalex.org/W1579307846","https://openalex.org/W2032481477","https://openalex.org/W2070599843","https://openalex.org/W2072975230","https://openalex.org/W2080480260","https://openalex.org/W2082453965","https://openalex.org/W2082575250","https://openalex.org/W2085203733","https://openalex.org/W2108310619","https://openalex.org/W2112185593","https://openalex.org/W2142468277","https://openalex.org/W2480880022","https://openalex.org/W2621208586","https://openalex.org/W2798062270","https://openalex.org/W3000304552","https://openalex.org/W4213279169","https://openalex.org/W4236596373","https://openalex.org/W4240584244","https://openalex.org/W4246602780","https://openalex.org/W4250991445","https://openalex.org/W4255418039"],"related_works":["https://openalex.org/W2359053655","https://openalex.org/W2387777532","https://openalex.org/W2382709029","https://openalex.org/W2389147080","https://openalex.org/W2377883125","https://openalex.org/W2362479786","https://openalex.org/W4311804456","https://openalex.org/W4365135359","https://openalex.org/W2115592544","https://openalex.org/W2093773434"],"abstract_inverted_index":{"Abstract":[0],"Images":[1],"cannot":[2],"just":[3],"be":[4,75,102,172],"labeled.":[5],"The":[6,117],"vexing":[7],"issues":[8],"surrounding":[9],"functional":[10],"access":[11,184],"to":[12,17,45,98,181],"digitized":[13,164],"images":[14,43,95,112,180,202],"have":[15,146],"come":[16],"the":[18,25,47,69,114,188,201],"fore":[19],"as":[20,32,34,127,133],"a":[21,35,82],"major":[22],"concern":[23],"in":[24,77,96,106,113],"realm":[26],"of":[27,37,49,54,85,143,163,196],"information":[28],"retrieval.":[29],"Constant":[30],"overlap":[31],"well":[33],"lack":[36],"consistent":[38],"membership":[39],"among":[40],"and":[41,57,105,156,191],"between":[42],"continues":[44],"challenge":[46],"efficacy":[48],"retrieval":[50,145],"systems":[51,170],"development.":[52],"Analysis":[53],"user":[55,197],"viewing":[56],"categorization":[58],"furnishes":[59],"additional":[60,183],"evidence":[61],"that":[62,122,152,168],"what":[63,107,123,137],"viewers":[64,124],"see":[65,125],"is":[66],"not":[67,73],"necessarily":[68],"objects":[70],"pictured,":[71],"may":[72],"even":[74],"present":[76],"an":[78,120],"image,":[79],"or":[80],"represents":[81],"wide":[83],"variety":[84],"possible":[86],"descriptions.":[87],"This":[88],"investigation":[89],"looks":[90],"at":[91],"how":[92,99],"users":[93],"view":[94],"relation":[97],"they":[100,109,131,138],"can":[101],"described":[103],"(categorized)":[104],"manner":[108],"match":[110],"other":[111],"same":[115],"collection.":[116],"results":[118],"provide":[119],"indication":[121],"depends":[126],"much":[128],"on":[129,136,149],"who":[130],"are":[132],"it":[134,166],"does":[135],"see.":[139],"While":[140],"traditional":[141],"methods":[142],"image":[144],"mostly":[147],"focused":[148],"indexing":[150],"techniques":[151],"encompass":[153],"object":[154],"descriptions":[155],"more":[157],"recent":[158],"approaches":[159],"through":[160],"contentbased":[161],"aspects":[162],"imagery,":[165],"appears":[167],"these":[169],"could":[171],"improved":[173],"by":[174],"enabling":[175],"subjective":[176],"engagement":[177],"with":[178,200],"retrieved":[179],"identify":[182],"points":[185],"derived":[186],"from":[187],"adumbrative,":[189],"impressionistic,":[190],"many":[192],"times":[193],"abstract":[194],"nature":[195],"cognitive":[198],"engagements":[199],"retrieved.":[203]},"counts_by_year":[{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}