{"id":"https://openalex.org/W4292342655","doi":"https://doi.org/10.1145/3546930.3547499","title":"Flexible and scalable annotation tool to develop scene understanding datasets","display_name":"Flexible and scalable annotation tool to develop scene understanding datasets","publication_year":2022,"publication_date":"2022-06-12","ids":{"openalex":"https://openalex.org/W4292342655","doi":"https://doi.org/10.1145/3546930.3547499"},"language":"en","primary_location":{"id":"doi:10.1145/3546930.3547499","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3546930.3547499","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3546930.3547499","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Human-In-the-Loop Data Analytics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3546930.3547499","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005968273","display_name":"Md Fazle Elahi","orcid":"https://orcid.org/0000-0001-5678-4527"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Md Fazle Elahi","raw_affiliation_strings":["Indiana University Purdue University"],"affiliations":[{"raw_affiliation_string":"Indiana University Purdue University","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085877797","display_name":"Renran Tian","orcid":"https://orcid.org/0000-0003-2028-3856"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Renran Tian","raw_affiliation_strings":["Indiana University Purdue University"],"affiliations":[{"raw_affiliation_string":"Indiana University Purdue University","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038978057","display_name":"Xiao Luo","orcid":"https://orcid.org/0000-0002-3649-9785"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Luo","raw_affiliation_strings":["Indiana University Purdue University"],"affiliations":[{"raw_affiliation_string":"Indiana University Purdue University","institution_ids":["https://openalex.org/I592451"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005968273"],"corresponding_institution_ids":["https://openalex.org/I592451"],"apc_list":null,"apc_paid":null,"fwci":0.3062,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5446908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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":0.9995999932289124,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.842147171497345},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.8299427032470703},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6528187394142151},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.608805775642395},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.586279034614563},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5406855940818787},{"id":"https://openalex.org/keywords/interactivity","display_name":"Interactivity","score":0.5267683267593384},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4877193868160248},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.4723081588745117},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.386319100856781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35173434019088745},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34498846530914307},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.2501335144042969},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22533738613128662},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1099226176738739}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.842147171497345},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.8299427032470703},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6528187394142151},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.608805775642395},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.586279034614563},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5406855940818787},{"id":"https://openalex.org/C144430266","wikidata":"https://www.wikidata.org/wiki/Q839721","display_name":"Interactivity","level":2,"score":0.5267683267593384},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4877193868160248},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.4723081588745117},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.386319100856781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35173434019088745},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34498846530914307},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2501335144042969},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22533738613128662},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1099226176738739},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3546930.3547499","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3546930.3547499","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3546930.3547499","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Human-In-the-Loop Data Analytics","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarworks.indianapolis.iu.edu:1805/40310","is_oa":true,"landing_page_url":"https://hdl.handle.net/1805/40310","pdf_url":"https://scholarworks.indianapolis.iu.edu/bitstreams/9460ecb1-d4b5-4775-bf87-911634082034/download","source":{"id":"https://openalex.org/S4306400987","display_name":"IUScholarWorks (Indiana University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I592451","host_organization_name":"Indiana University","host_organization_lineage":["https://openalex.org/I592451"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Author","raw_type":"Conference proceedings"}],"best_oa_location":{"id":"doi:10.1145/3546930.3547499","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3546930.3547499","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3546930.3547499","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Human-In-the-Loop Data Analytics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1019926553","display_name":null,"funder_award_id":"2145565","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320334454","display_name":"Toyota Collaborative Safety Research Center","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4292342655.pdf","grobid_xml":"https://content.openalex.org/works/W4292342655.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W38568571","https://openalex.org/W1506491340","https://openalex.org/W1861492603","https://openalex.org/W1895641373","https://openalex.org/W1933349210","https://openalex.org/W1983927101","https://openalex.org/W1995820507","https://openalex.org/W2021896843","https://openalex.org/W2048343491","https://openalex.org/W2073302931","https://openalex.org/W2078238240","https://openalex.org/W2108598243","https://openalex.org/W2150220508","https://openalex.org/W2193145675","https://openalex.org/W2251512949","https://openalex.org/W2277195237","https://openalex.org/W2546643512","https://openalex.org/W2550936021","https://openalex.org/W2556543544","https://openalex.org/W2559655401","https://openalex.org/W2947312908","https://openalex.org/W2963115613","https://openalex.org/W2963890755","https://openalex.org/W2981630388","https://openalex.org/W3101577715","https://openalex.org/W3106250896","https://openalex.org/W4394664176"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3207526114"],"abstract_inverted_index":{"Recent":[0],"progress":[1],"in":[2,42,91,215,226],"data-driven":[3],"vision":[4],"and":[5,23,51,54,95,107,114,130,209,247],"language-based":[6],"tasks":[7],"demands":[8],"developing":[9,33],"training":[10],"datasets":[11,41,143],"enriched":[12],"with":[13,98,188],"multiple":[14],"modalities":[15,31,137],"representing":[16],"human":[17],"intelligence.":[18],"The":[19,36,70,118,147,219],"link":[20,151],"between":[21,185],"text":[22,153,203],"image":[24,155,205],"data":[25,168,228],"is":[26,79],"one":[27],"of":[28,39,111,191,201],"the":[29,43,83,93,99,104,141,145,164,167,189,198,227],"crucial":[30],"for":[32,74,170],"AI":[34],"models.":[35],"development":[37],"process":[38,72,127,213],"such":[40],"video":[44],"domain":[45],"requires":[46],"much":[47],"effort":[48],"from":[49,63,239],"researchers":[50,94],"annotators":[52,64,96,148],"(experts":[53],"non-experts).":[55],"Researchers":[56,132],"re-design":[57],"annotation":[58,100,105,116,126,229],"tools":[59],"to":[60,65,124,138,154,204],"extract":[61],"knowledge":[62],"answer":[66],"new":[67,76,220],"research":[68],"questions.":[69],"whole":[71],"repeats":[73],"each":[75],"question":[77],"which":[78],"time-consuming.":[80],"However,":[81],"since":[82],"last":[84],"decade,":[85],"there":[86],"has":[87],"been":[88],"little":[89],"change":[90],"how":[92],"interact":[97],"process.":[101],"We":[102,175,195],"revisit":[103],"workflow":[106],"propose":[108],"a":[109,178,182,211,216],"concept":[110,119],"an":[112],"adaptable":[113],"scalable":[115],"tool.":[117,146],"emphasizes":[120],"its":[121],"users'":[122],"interactivity":[123],"make":[125],"design":[128,221],"seamless":[129],"efficient.":[131],"can":[133,149],"conveniently":[134],"add":[135],"newer":[136],"or":[139],"augment":[140],"extant":[142],"using":[144,181],"efficiently":[150],"free-form":[152,202],"objects.":[156],"For":[157],"conducting":[158],"human-subject":[159],"experiments":[160],"on":[161],"any":[162],"scale,":[163],"tool":[165,184],"supports":[166],"collection":[169],"attaining":[171],"group":[172],"ground":[173],"truth.":[174],"have":[176],"conducted":[177],"case":[179],"study":[180],"prototype":[183],"two":[186],"groups":[187],"participation":[190],"74":[192],"non-expert":[193],"people.":[194],"find":[196],"that":[197],"interactive":[199],"linking":[200],"objects":[206],"feels":[207],"intuitive":[208],"evokes":[210],"thought":[212],"resulting":[214],"high-quality":[217],"annotation.":[218],"shows":[222],"\u2248":[223],"35%":[224],"improvement":[225],"quality.":[230],"On":[231],"UX":[232],"evaluation,":[233],"we":[234],"receive":[235],"above-average":[236],"positive":[237],"feedback":[238],"25":[240],"people":[241],"regarding":[242],"convenience,":[243],"UI":[244],"assistance,":[245],"usability,":[246],"satisfaction.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}