{"id":"https://openalex.org/W2037953097","doi":"https://doi.org/10.1145/1357054.1357063","title":"MQSearch","display_name":"MQSearch","publication_year":2008,"publication_date":"2008-04-06","ids":{"openalex":"https://openalex.org/W2037953097","doi":"https://doi.org/10.1145/1357054.1357063","mag":"2037953097"},"language":"en","primary_location":{"id":"doi:10.1145/1357054.1357063","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1357054.1357063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems","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/A5110713758","display_name":"Yiwen Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiwen Luo","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431748","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-1727-6738"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039205892","display_name":"Jianzhuang Liu","orcid":"https://orcid.org/0000-0002-7960-9382"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhuang Liu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089058945","display_name":"Xiaoou Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoou Tang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110713758"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":1.7559,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85666725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"49","last_page":"52"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9991000294685364,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.762197732925415},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.7267226576805115},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.6726058125495911},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6303340792655945},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.622963011264801},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.6050182580947876},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5081980228424072},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.504156231880188},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5017764568328857},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.4994642734527588},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.48997560143470764},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.47093382477760315},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4471568465232849},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.43690991401672363},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42299383878707886},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3737570643424988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2552892565727234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.762197732925415},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.7267226576805115},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.6726058125495911},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6303340792655945},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.622963011264801},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.6050182580947876},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5081980228424072},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.504156231880188},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5017764568328857},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.4994642734527588},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.48997560143470764},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.47093382477760315},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4471568465232849},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.43690991401672363},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42299383878707886},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3737570643424988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2552892565727234},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1357054.1357063","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1357054.1357063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W31101723","https://openalex.org/W57915300","https://openalex.org/W1608008825","https://openalex.org/W1973693867","https://openalex.org/W2039118116","https://openalex.org/W2063078340","https://openalex.org/W2066636486","https://openalex.org/W2069350352","https://openalex.org/W2109257175","https://openalex.org/W2130660124","https://openalex.org/W2131791003","https://openalex.org/W2294984095","https://openalex.org/W2769133055","https://openalex.org/W6602345668","https://openalex.org/W6679655593","https://openalex.org/W6697018953"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2026738364","https://openalex.org/W2572349046","https://openalex.org/W2013069866","https://openalex.org/W8514837","https://openalex.org/W1793997780","https://openalex.org/W2146885082","https://openalex.org/W3125756434","https://openalex.org/W4232633635","https://openalex.org/W3049728138"],"abstract_inverted_index":{"Image":[0],"search":[1,7,23,40,92,104,116,156,166],"is":[2,32],"becoming":[3],"prevalent":[4],"in":[5,27,60,82],"web":[6],"as":[8,49],"the":[9,17,28,56,79,142,169],"number":[10,69],"of":[11,70,101],"digital":[12],"photos":[13],"grows":[14],"exponentially":[15],"on":[16],"internet.":[18],"For":[19],"a":[20,33,50,61,67,90,110],"successful":[21],"image":[22,39,45,81,107,165],"system,":[24],"removing":[25],"outliers":[26,74],"top":[29],"ranked":[30],"results":[31,64],"challenging":[34],"task.":[35],"Typical":[36],"content":[37,163],"based":[38,164],"engines":[41],"take":[42],"an":[43],"input":[44],"from":[46,97],"one":[47,106],"class":[48,108],"query":[51,57,80,95,103,115,121],"and":[52,58],"compute":[53],"relevance":[54],"between":[55],"images":[59,96],"database.":[62],"The":[63],"often":[65],"contain":[66],"large":[68],"outliers,":[71],"since":[72],"these":[73],"may":[75],"be":[76,151],"similar":[77,125,137],"to":[78,126,139,145,167],"some":[83],"way.":[84],"In":[85,158],"this":[86,159],"paper":[87],"we":[88,112,132,161],"present":[89],"novel":[91],"scheme":[93],"using":[94,119],"multiple":[98],"classes.":[99],"Instead":[100],"conducting":[102],"for":[105,129,153],"at":[109],"time,":[111],"conduct":[113],"multi-class":[114,130],"jointly.":[117],"By":[118],"several":[120],"classes":[122,138],"that":[123],"are":[124],"each":[127],"other":[128],"query,":[131],"can":[133,150],"utilize":[134],"information":[135,155],"across":[136],"fine":[140],"tune":[141],"similarity":[143],"measure":[144],"remove":[146],"outliers.":[147],"This":[148],"strategy":[149],"used":[152],"any":[154],"application.":[157],"work,":[160],"use":[162],"illustrate":[168],"concept.":[170]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}