{"id":"https://openalex.org/W2090912237","doi":"https://doi.org/10.1145/1291233.1291448","title":"Semantic concept-based query expansion and re-ranking for multimedia retrieval","display_name":"Semantic concept-based query expansion and re-ranking for multimedia retrieval","publication_year":2007,"publication_date":"2007-09-29","ids":{"openalex":"https://openalex.org/W2090912237","doi":"https://doi.org/10.1145/1291233.1291448","mag":"2090912237"},"language":"en","primary_location":{"id":"doi:10.1145/1291233.1291448","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1291233.1291448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM international conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5030886753","display_name":"Apostol Natsev","orcid":null},"institutions":[{"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"]},{"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"]}],"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#"],"raw_orcid":null,"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":"middle","author":{"id":"https://openalex.org/A5040143997","display_name":"Alexander Haubold","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":false,"raw_author_name":"Alexander Haubold","raw_affiliation_strings":["Columbia University, New York, NY","Columbia University, New York, NY;"],"raw_orcid":null,"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/A5068828260","display_name":"Jelena Te\u0161i\u0107","orcid":"https://orcid.org/0000-0002-9972-9760"},"institutions":[{"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"]},{"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jelena Te\u0161i\u0107","raw_affiliation_strings":["IBM Thomas. J. Watson Research Center, Hawthorne, NY","IBM Thomas J. Watson Research Center, Hawthorne, NY#TAB#"],"raw_orcid":null,"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":"middle","author":{"id":"https://openalex.org/A5049449495","display_name":"Lexing Xie","orcid":"https://orcid.org/0000-0001-8319-0118"},"institutions":[{"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"]},{"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lexing Xie","raw_affiliation_strings":["IBM Thomas. J. Watson Research Center, Hawthorne, NY","IBM Thomas J. Watson Research Center, Hawthorne, NY#TAB#"],"raw_orcid":null,"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/A5033563552","display_name":"Rong Yan","orcid":"https://orcid.org/0000-0001-7925-1280"},"institutions":[{"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"]},{"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rong Yan","raw_affiliation_strings":["IBM Thomas. J. Watson Research Center, Hawthorne, NY","IBM Thomas J. Watson Research Center, Hawthorne, NY#TAB#"],"raw_orcid":null,"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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.9278,"has_fulltext":false,"cited_by_count":184,"citation_normalized_percentile":{"value":0.99302155,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"991","last_page":"1000"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9983999729156494,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.998199999332428,"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/query-expansion","display_name":"Query expansion","score":0.8595073223114014},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8566813468933105},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.8018952012062073},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7758781909942627},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.5601224899291992},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5556836724281311},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.508009672164917},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4863889515399933},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4857681095600128},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.468898206949234},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.454324871301651},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.41401106119155884},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.33086949586868286},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.27010592818260193}],"concepts":[{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.8595073223114014},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8566813468933105},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.8018952012062073},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7758781909942627},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.5601224899291992},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5556836724281311},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.508009672164917},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4863889515399933},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4857681095600128},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.468898206949234},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.454324871301651},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.41401106119155884},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.33086949586868286},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.27010592818260193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1291233.1291448","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1291233.1291448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W187228978","https://openalex.org/W1515865104","https://openalex.org/W1537942797","https://openalex.org/W1548256243","https://openalex.org/W1549656520","https://openalex.org/W1552863221","https://openalex.org/W1572378471","https://openalex.org/W1618905105","https://openalex.org/W1972442292","https://openalex.org/W1979459060","https://openalex.org/W1987996059","https://openalex.org/W2025363509","https://openalex.org/W2031602671","https://openalex.org/W2042907071","https://openalex.org/W2057577760","https://openalex.org/W2063757695","https://openalex.org/W2073554061","https://openalex.org/W2076593148","https://openalex.org/W2089150756","https://openalex.org/W2096479579","https://openalex.org/W2105106523","https://openalex.org/W2107668593","https://openalex.org/W2116780029","https://openalex.org/W2117805756","https://openalex.org/W2120887753","https://openalex.org/W2127128140","https://openalex.org/W2132765161","https://openalex.org/W2136507825","https://openalex.org/W2144080413","https://openalex.org/W2147152072","https://openalex.org/W2153677638","https://openalex.org/W2157059464","https://openalex.org/W2168309935","https://openalex.org/W2171193630","https://openalex.org/W2180407021","https://openalex.org/W2291425271","https://openalex.org/W2435251607","https://openalex.org/W2725061391","https://openalex.org/W2915103030","https://openalex.org/W2916453377","https://openalex.org/W2916567321","https://openalex.org/W2917101542","https://openalex.org/W2998237634","https://openalex.org/W3022076219","https://openalex.org/W4231856373","https://openalex.org/W4300932606","https://openalex.org/W4401149251","https://openalex.org/W6633134671","https://openalex.org/W6675321306","https://openalex.org/W6677288896","https://openalex.org/W6759319768","https://openalex.org/W6776946238"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2572349046","https://openalex.org/W2026738364","https://openalex.org/W2017989738","https://openalex.org/W2146885082","https://openalex.org/W2186703450","https://openalex.org/W3125756434","https://openalex.org/W2392799717","https://openalex.org/W8514837","https://openalex.org/W2017328855"],"abstract_inverted_index":{"We":[0,87,152],"study":[1,110],"the":[2,18,60,66,147,157],"problem":[3],"of":[4,20,24,85,169],"semantic":[5,26,132],"concept-based":[6,117],"query":[7,44,77,96,105,118],"expansion":[8],"and":[9,32,91,142,177],"re-ranking":[10,33],"for":[11,28,43,65,94,103,116,127,159],"multimedia":[12,30],"retrieval.":[13],"In":[14,35,107,120],"particular,":[15],"we":[16,38,109,122],"explore":[17],"utility":[19],"a":[21,138,173,178,183],"fixed":[22],"lexicon":[23],"visual":[25,50,63,104,131],"concepts":[27,64,70],"automatic":[29],"retrieval":[31,54,150,175,186],"purposes.":[34],"this":[36],"paper,":[37],"propose":[39],"several":[40,111],"new":[41],"approaches":[42,93,102,126],"expansion,":[45,97],"in":[46],"which":[47],"textual":[48],"keywords,":[49],"examples,":[51],"or":[52],"initial":[53],"results":[55,78],"are":[56,71,135],"analyzed":[57],"to":[58,74,80,164,172,182],"identify":[59],"most":[61],"relevant":[62],"given":[67],"query.":[68],"These":[69],"then":[72],"used":[73],"generate":[75],"additional":[76],"and/or":[79],"re-rank":[81],"an":[82,165],"existing":[83],"set":[84],"results.":[86],"develop":[88],"both":[89],"lexical":[90],"statistical":[92],"text":[95,174],"as":[98,100],"well":[99],"content-based":[101],"expansion.":[106,119],"addition,":[108],"other":[112],"recently":[113],"proposed":[114],"methods":[115],"total,":[121],"compare":[123],"7":[124,161],"different":[125],"expanding":[128],"queries":[129],"with":[130],"concepts.":[133],"They":[134],"evaluated":[136],"using":[137],"large":[139],"video":[140,149],"corpus":[141],"39":[143],"concept":[144],"detectors":[145],"from":[146],"TRECVID-2006":[148],"benchmark.":[151],"observe":[153],"consistent":[154],"improvement":[155,180],"over":[156],"baselines":[158],"all":[160],"approaches,":[162],"leading":[163],"overall":[166],"performance":[167],"gain":[168],"77%":[170],"relative":[171,181],"baseline,":[176],"31%":[179],"state-of-the-art":[184],"multimodal":[185],"baseline.":[187]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":17},{"year":2014,"cited_by_count":14},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":18}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
