{"id":"https://openalex.org/W2101825085","doi":"https://doi.org/10.1109/cvpr.2009.5206705","title":"What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations","display_name":"What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2101825085","doi":"https://doi.org/10.1109/cvpr.2009.5206705","mag":"2101825085"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2009.5206705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206705","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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/A5011416719","display_name":"Sudheendra Vijayanarasimhan","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sudheendra Vijayanarasimhan","raw_affiliation_strings":["Department of Computer Sciences, University of Texas, Austin, USA","Department of Computer Science, University of Texas at Austin, Austin, TX, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Texas, Austin, USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Department of Computer Science, University of Texas at Austin, Austin, TX, USA#TAB#","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012765543","display_name":"Kristen Grauman","orcid":"https://orcid.org/0000-0002-9591-5873"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kristen Grauman","raw_affiliation_strings":["Department of Computer Sciences, University of Texas, Austin, USA","Department of Computer Science, University of Texas at Austin, Austin, TX, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Texas, Austin, USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Department of Computer Science, University of Texas at Austin, Austin, TX, USA#TAB#","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011416719"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":6.3451,"has_fulltext":false,"cited_by_count":151,"citation_normalized_percentile":{"value":0.9646918,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2262","last_page":"2269"},"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9909999966621399,"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":0.7458614110946655},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6448593735694885},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46477702260017395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33195608854293823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7458614110946655},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6448593735694885},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46477702260017395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33195608854293823}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2009.5206705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206705","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.374.3750","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.374.3750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.utexas.edu/users/ai-lab/pubs/vijayanarasimhan_cvpr2009.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W56378372","https://openalex.org/W138745945","https://openalex.org/W172675048","https://openalex.org/W1510526001","https://openalex.org/W1528789833","https://openalex.org/W1535599202","https://openalex.org/W1540386283","https://openalex.org/W1618905105","https://openalex.org/W1739260168","https://openalex.org/W1949116567","https://openalex.org/W1977612207","https://openalex.org/W1987496434","https://openalex.org/W2103568877","https://openalex.org/W2107912357","https://openalex.org/W2108807072","https://openalex.org/W2109832419","https://openalex.org/W2110119381","https://openalex.org/W2110764733","https://openalex.org/W2118236796","https://openalex.org/W2128678390","https://openalex.org/W2135533176","https://openalex.org/W2140539195","https://openalex.org/W2141282920","https://openalex.org/W2141303268","https://openalex.org/W2149489787","https://openalex.org/W2162708558","https://openalex.org/W2164736477","https://openalex.org/W2171706135","https://openalex.org/W2172191903","https://openalex.org/W3146079624","https://openalex.org/W6602245406","https://openalex.org/W6605658577","https://openalex.org/W6607164772","https://openalex.org/W6630424276","https://openalex.org/W6631412525","https://openalex.org/W6631929218","https://openalex.org/W6632200337","https://openalex.org/W6637774275","https://openalex.org/W6640791922","https://openalex.org/W6644536952","https://openalex.org/W6676257810","https://openalex.org/W6676485797","https://openalex.org/W6676875803","https://openalex.org/W6679227803","https://openalex.org/W6680102115","https://openalex.org/W6684350518","https://openalex.org/W6684936967","https://openalex.org/W6685499309"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Active":[0],"learning":[1,74],"strategies":[2],"can":[3,132],"be":[4,20],"useful":[5],"when":[6],"manual":[7,68,176],"labeling":[8],"effort":[9,82],"is":[10,32],"scarce,":[11],"as":[12],"they":[13],"select":[14],"the":[15,28,78,81,129,144,150,166,171],"most":[16],"informative":[17],"examples":[18],"to":[19,100,105,142,153],"annotated":[21],"first.":[22],"However,":[23],"for":[24],"visual":[25],"category":[26,172],"learning,":[27],"active":[29,73,145],"selection":[30,146],"problem":[31],"particularly":[33],"complex:":[34],"a":[35,64,88,112,121,159],"single":[36],"image":[37,90],"will":[38],"typically":[39],"contain":[40],"multiple":[41,49],"object":[42,107],"labels,":[43,55],"and":[44,83,95,120,125],"an":[45,72,106,136,155],"annotator":[46],"could":[47],"provide":[48],"types":[50],"of":[51,60,67,123,163],"annotation":[52,130],"(e.g.,":[53],"class":[54],"bounding":[56],"boxes,":[57],"segmentations),":[58],"any":[59],"which":[61],"would":[62],"incur":[63],"variable":[65],"amount":[66],"effort.":[69],"We":[70,110],"present":[71],"framework":[75],"that":[76,116],"predicts":[77],"tradeoff":[79],"between":[80],"information":[84],"gain":[85],"associated":[86],"with":[87,174],"candidate":[89],"annotation,":[91],"thereby":[92],"ranking":[93],"unlabeled":[94,156],"partially":[96],"labeled":[97,164],"images":[98,119],"according":[99],"their":[101],"expected":[102],"\u201cnet":[103],"worth\u201d":[104],"recognition":[108],"system.":[109],"develop":[111],"multi-label":[113],"multiple-instance":[114],"approach":[115],"accommodates":[117],"multi-object":[118],"mixture":[122],"strong":[124],"weak":[126],"labels.":[127],"Since":[128],"cost":[131],"vary":[133],"depending":[134],"on":[135],"image's":[137],"complexity,":[138],"we":[139],"show":[140],"how":[141],"improve":[143],"by":[147],"directly":[148],"predicting":[149],"time":[151],"required":[152],"segment":[154],"image.":[157],"Given":[158],"small":[160],"initial":[161],"pool":[162],"data,":[165],"proposed":[167],"method":[168],"actively":[169],"improves":[170],"models":[173],"minimal":[175],"intervention.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":13}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
