{"id":"https://openalex.org/W2031602671","doi":"https://doi.org/10.1145/1101149.1101339","title":"Automatic discovery of query-class-dependent models for multimodal search","display_name":"Automatic discovery of query-class-dependent models for multimodal search","publication_year":2005,"publication_date":"2005-11-06","ids":{"openalex":"https://openalex.org/W2031602671","doi":"https://doi.org/10.1145/1101149.1101339","mag":"2031602671"},"language":"en","primary_location":{"id":"doi:10.1145/1101149.1101339","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1101149.1101339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th annual ACM international conference on Multimedia","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/A5110040655","display_name":"Lyndon S. Kennedy","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lyndon S. Kennedy","raw_affiliation_strings":["Columbia University, New York, NY","Columbia University, New York, NY;"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Columbia University, New York, NY;","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030886753","display_name":"Apostol Natsev","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Apostol (Paul) Natsev","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Hawthorne, NY","IBM Thomas J. Watson Research Center, Hawthorne, NY#TAB#"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Hawthorne, NY","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Hawthorne, NY#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037340457","display_name":"Shih\u2010Fu Chang","orcid":"https://orcid.org/0000-0003-1444-1205"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shih-Fu Chang","raw_affiliation_strings":["Columbia University, New York, NY","Columbia University, New York, NY;"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Columbia University, New York, NY;","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110040655"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":8.9537,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.98143899,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"882","last_page":"891"},"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":0.9995999932289124,"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"}},"topics":[{"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9991000294685364,"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":0.9965000152587891,"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":0.7530047297477722},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6065821647644043},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5264754295349121},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.5070064067840576},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.49548375606536865},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.45479869842529297},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.44294074177742004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37323132157325745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32029247283935547},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.23641738295555115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7530047297477722},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6065821647644043},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5264754295349121},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.5070064067840576},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.49548375606536865},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.45479869842529297},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.44294074177742004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37323132157325745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32029247283935547},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.23641738295555115}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1101149.1101339","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1101149.1101339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th annual ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.153.2105","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.2105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ee.columbia.edu/dvmm/publications/05/acmmm05_kennedy.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":15,"referenced_works":["https://openalex.org/W1482214997","https://openalex.org/W1500328508","https://openalex.org/W1676820704","https://openalex.org/W2016243284","https://openalex.org/W2096479579","https://openalex.org/W2098162425","https://openalex.org/W2102381086","https://openalex.org/W2117805756","https://openalex.org/W2148603752","https://openalex.org/W2157041524","https://openalex.org/W2168290668","https://openalex.org/W2184848982","https://openalex.org/W6628905179","https://openalex.org/W6684457510","https://openalex.org/W7071374342"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W3125756434","https://openalex.org/W2026738364","https://openalex.org/W2184296057","https://openalex.org/W2538384344","https://openalex.org/W2146885082","https://openalex.org/W2572349046","https://openalex.org/W3049728138","https://openalex.org/W2392799717","https://openalex.org/W1793997780"],"abstract_inverted_index":{"We":[0,59,106,141],"develop":[1],"a":[2,29],"framework":[3,19,200],"for":[4,11,50,56,96,166],"the":[5,34,51,66,70,84,93,108,111,121],"automatic":[6,114],"discovery":[7],"of":[8,36,43,53,69,83,129],"query":[9,23,124,135,147],"classes":[10,24,42,79,125,136],"query-class-dependent":[12,167],"search":[13,39,116,160,185],"models":[14],"in":[15,28,74,131,138,159],"multimodal":[16,57,168],"retrieval.":[17],"The":[18,81,198],"automatically":[20,122],"discovers":[21],"useful":[22,165],"by":[25],"clustering":[26,73],"queries":[27,44,71],"training":[30],"set":[31],"according":[32],"to":[33,76,91,207],"performance":[35,63,103,162,187],"various":[37],"unimodal":[38,54],"methods,":[40],"yielding":[41],"which":[45,100],"have":[46,101,157,183],"similar":[47],"fusion":[48],"strategies":[49],"combination":[52],"components":[55],"search.":[58],"further":[60],"combine":[61],"these":[62],"features":[64,68],"with":[65,195],"semantic":[67,85],"during":[72],"order":[75],"make":[77],"discovered":[78,123],"meaningful.":[80],"inclusion":[82],"space":[86,104],"also":[87,142],"makes":[88],"it":[89],"possible":[90],"choose":[92],"correct":[94],"class":[95],"new,":[97],"unseen":[98],"queries,":[99],"unknown":[102],"features.":[105],"evaluate":[107],"system":[109],"against":[110],"TRECVID":[112],"2004":[113],"video":[115],"task":[117],"and":[118,153,163,178,188,203],"find":[119,143],"that":[120,144],"give":[126],"an":[127],"improvement":[128],"18%":[130],"MAP":[132],"over":[133],"hand-defined":[134,146,172],"used":[137],"previous":[139],"works.":[140],"some":[145],"classes,":[148,173],"such":[149,174],"as":[150,175],"\"Named":[151,176],"Person\"":[152],"\"Sports\"":[154],"do,":[155],"indeed,":[156],"similarities":[158],"method":[161,186],"are":[164],"search,":[169],"while":[170],"other":[171,196],"Object\"":[177,180],"\"General":[179],"do":[181],"not":[182],"consistent":[184],"should":[189],"be":[190,205],"split":[191],"apart":[192],"or":[193],"replaced":[194],"classes.":[197],"proposed":[199],"is":[201],"general":[202],"can":[204],"applied":[206],"any":[208],"new":[209],"domain":[210,213],"without":[211],"expert":[212],"knowledge.":[214]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
