{"id":"https://openalex.org/W2150707975","doi":"https://doi.org/10.1145/2393347.2393400","title":"Online crowdsourcing subjective image quality assessment","display_name":"Online crowdsourcing subjective image quality assessment","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2150707975","doi":"https://doi.org/10.1145/2393347.2393400","mag":"2150707975"},"language":"en","primary_location":{"id":"doi:10.1145/2393347.2393400","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393347.2393400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th 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/A5089092566","display_name":"Qianqian Xu","orcid":"https://orcid.org/0000-0002-3512-7277"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qianqian Xu","raw_affiliation_strings":["Graduate University, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Graduate University, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["Graduate University, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Graduate University, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051299066","display_name":"Yuan Yao","orcid":"https://orcid.org/0000-0001-5814-1162"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yao","raw_affiliation_strings":["School of Mathematical Sciences, LMAM and LMP, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, LMAM and LMP, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089092566"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":6.3146,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.97190863,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"359","last_page":"368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9861000180244446,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9861000180244446,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/crowdsourcing","display_name":"Crowdsourcing","score":0.9220168590545654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7626173496246338},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.6051434278488159},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.56584233045578},{"id":"https://openalex.org/keywords/random-graph","display_name":"Random graph","score":0.5210408568382263},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4890335500240326},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4847821593284607},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47437888383865356},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4727894961833954},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4287432134151459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4278275966644287},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.42363548278808594},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37678056955337524},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3141152858734131},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15121594071388245},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1409217119216919}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9220168590545654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7626173496246338},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.6051434278488159},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.56584233045578},{"id":"https://openalex.org/C47458327","wikidata":"https://www.wikidata.org/wiki/Q910404","display_name":"Random graph","level":3,"score":0.5210408568382263},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4890335500240326},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4847821593284607},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47437888383865356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4727894961833954},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4287432134151459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4278275966644287},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.42363548278808594},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37678056955337524},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3141152858734131},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15121594071388245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1409217119216919},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2393347.2393400","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393347.2393400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-80647","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-80647","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W390146837","https://openalex.org/W630423399","https://openalex.org/W638149299","https://openalex.org/W1533904547","https://openalex.org/W1535810436","https://openalex.org/W1562083261","https://openalex.org/W1563088657","https://openalex.org/W1575230410","https://openalex.org/W1592213313","https://openalex.org/W1991566301","https://openalex.org/W1994616650","https://openalex.org/W1995946448","https://openalex.org/W1996652862","https://openalex.org/W2008620264","https://openalex.org/W2015263936","https://openalex.org/W2015326995","https://openalex.org/W2040870580","https://openalex.org/W2047278710","https://openalex.org/W2105187896","https://openalex.org/W2110415005","https://openalex.org/W2112090702","https://openalex.org/W2116424792","https://openalex.org/W2116683971","https://openalex.org/W2118285149","https://openalex.org/W2120219904","https://openalex.org/W2121680631","https://openalex.org/W2130406232","https://openalex.org/W2139037672","https://openalex.org/W2144044408","https://openalex.org/W2148603752","https://openalex.org/W2150000644","https://openalex.org/W2170865122","https://openalex.org/W2170931744","https://openalex.org/W2332835381","https://openalex.org/W2334986623","https://openalex.org/W2905110430","https://openalex.org/W2945608433","https://openalex.org/W3013843370","https://openalex.org/W3140579943","https://openalex.org/W4297924266","https://openalex.org/W4312512934","https://openalex.org/W6677090979","https://openalex.org/W6792131838","https://openalex.org/W7071374342"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4318823662","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W3207526114","https://openalex.org/W4286908577"],"abstract_inverted_index":{"Recently,":[0],"HodgeRank":[1,74],"on":[2,18,26,38,73,75,148],"random":[3,24,76,120],"graphs":[4],"has":[5],"been":[6],"proposed":[7,146],"as":[8],"an":[9,68],"effective":[10,109],"framework":[11,147],"for":[12,33,123],"multimedia":[13],"quality":[14,81],"assessment":[15],"problem":[16],"based":[17,72],"paired":[19],"comparison":[20],"method.":[21],"With":[22],"the":[23,88,118,137,142,145],"design":[25],"large":[27,34],"graphs,":[28,77],"it":[29,43,49],"is":[30,50,100],"particularly":[31],"suitable":[32],"scale":[35],"crowdsourcing":[36],"experiments":[37,106],"Internet.":[39],"However,":[40],"to":[41,52,56,78,107,114,128],"make":[42],"more":[44],"practical":[45],"toward":[46],"this":[47,64],"purpose,":[48],"necessary":[51],"develop":[53],"online":[54,69],"algorithms":[55],"deal":[57],"with":[58],"sequential":[59,92],"or":[60],"streaming":[61],"data.":[62],"In":[63],"paper,":[65],"we":[66],"propose":[67],"rating":[70,131],"scheme":[71,99],"assess":[79],"image":[80,85],"when":[82],"assessors":[83],"and":[84,105,132,150],"pairs":[86],"enter":[87],"system":[89],"in":[90,94,102,136],"a":[91,95],"way":[93],"crowdsourceable":[96],"scenario.":[97],"The":[98],"shown":[101],"both":[103],"theory":[104],"be":[108],"by":[110],"exhibiting":[111],"similar":[112],"performance":[113],"batch":[115],"learning":[116],"under":[117],"Erd\u00f6s-R\u00e9nyi":[119],"graph":[121],"model":[122],"sampling.":[124],"It":[125],"enables":[126],"us":[127],"derive":[129],"global":[130],"monitor":[133],"intrinsic":[134],"inconsistency":[135],"real":[138],"time.":[139],"We":[140],"demonstrate":[141],"effectiveness":[143],"of":[144],"LIVE":[149],"IVC":[151],"databases.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}