{"id":"https://openalex.org/W2148799571","doi":"https://doi.org/10.1109/cvpr.2013.73","title":"Exploring Implicit Image Statistics for Visual Representativeness Modeling","display_name":"Exploring Implicit Image Statistics for Visual Representativeness Modeling","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2148799571","doi":"https://doi.org/10.1109/cvpr.2013.73","mag":"2148799571"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2013.73","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2013.73","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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/A5059926864","display_name":"Xiaoshuai Sun","orcid":"https://orcid.org/0000-0003-3912-9306"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoshuai Sun","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101839607","display_name":"Xinjing Wang","orcid":"https://orcid.org/0000-0002-4110-7811"},"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":"Xin-Jing Wang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023274785","display_name":"Hongxun Yao","orcid":"https://orcid.org/0000-0003-3298-2574"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxun Yao","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100714341","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-6553-4412"},"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":"Lei Zhang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"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/A5059926864"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.5529,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72899813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"516","last_page":"523"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994999766349792,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9945999979972839,"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":0.7422821521759033},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.7254664897918701},{"id":"https://openalex.org/keywords/representativeness-heuristic","display_name":"Representativeness heuristic","score":0.6402592062950134},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.5645943880081177},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5617830753326416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5505958199501038},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.5327909588813782},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.49521222710609436},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48953112959861755},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4811728894710541},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4413870573043823},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38911914825439453},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36135134100914},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32282406091690063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12034693360328674},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09934824705123901}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7422821521759033},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7254664897918701},{"id":"https://openalex.org/C37381756","wikidata":"https://www.wikidata.org/wiki/Q20203288","display_name":"Representativeness heuristic","level":2,"score":0.6402592062950134},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.5645943880081177},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5617830753326416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5505958199501038},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.5327909588813782},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.49521222710609436},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48953112959861755},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4811728894710541},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4413870573043823},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38911914825439453},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36135134100914},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32282406091690063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12034693360328674},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09934824705123901},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2013.73","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2013.73","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.649.2981","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.649.2981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/en-US/people/xjwang/sun_exploring_implicit_image_2013_cvpr_paper.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W952881364","https://openalex.org/W1590510366","https://openalex.org/W1958239248","https://openalex.org/W1959000896","https://openalex.org/W1970593009","https://openalex.org/W1997014880","https://openalex.org/W1997817740","https://openalex.org/W2016377072","https://openalex.org/W2045830397","https://openalex.org/W2055132753","https://openalex.org/W2086618114","https://openalex.org/W2103666701","https://openalex.org/W2108598243","https://openalex.org/W2110988483","https://openalex.org/W2119742615","https://openalex.org/W2130539320","https://openalex.org/W2133589685","https://openalex.org/W2139047169","https://openalex.org/W2141545068","https://openalex.org/W2145607950","https://openalex.org/W2145721327","https://openalex.org/W2148675068","https://openalex.org/W2150753219","https://openalex.org/W2153317636","https://openalex.org/W2154496970","https://openalex.org/W2158553842","https://openalex.org/W2163334428","https://openalex.org/W2168371480","https://openalex.org/W2293997450","https://openalex.org/W2465309725","https://openalex.org/W3035258717","https://openalex.org/W3145063618","https://openalex.org/W4230097545","https://openalex.org/W4235488022","https://openalex.org/W4256402945","https://openalex.org/W6625122095","https://openalex.org/W6635258101","https://openalex.org/W6641111440","https://openalex.org/W6641214351","https://openalex.org/W6676297131","https://openalex.org/W6680614221","https://openalex.org/W6681375728","https://openalex.org/W6682346614","https://openalex.org/W6682658769","https://openalex.org/W6697127918"],"related_works":["https://openalex.org/W3159631231","https://openalex.org/W4306248409","https://openalex.org/W2740053659","https://openalex.org/W2032280552","https://openalex.org/W158727920","https://openalex.org/W4292157289","https://openalex.org/W2912805850","https://openalex.org/W2256889302","https://openalex.org/W2116621310","https://openalex.org/W4288067675"],"abstract_inverted_index":{"In":[0,149],"this":[1],"paper,":[2],"we":[3,71,134,152],"propose":[4],"a":[5,62,73,105],"computational":[6],"model":[7,42,191],"of":[8,16,64,78,92,104,125,146,156,168,182,189],"visual":[9,69],"representative":[10,17,33,102,157],"ness":[11,18,34,103,158],"by":[12,55,84,111],"integrating":[13],"cognitive":[14,132],"theories":[15],"heuristics":[19],"with":[20],"computer":[21],"vision":[22],"and":[23,51,81,89,118,139,165,179],"machine":[24],"learning":[25],"techniques.":[26],"Unlike":[27],"previous":[28],"models":[29,159],"that":[30,66],"build":[31],"their":[32],"measure":[35,54],"based":[36,160],"on":[37,161,175],"the":[38,44,53,57,86,93,116,123,131,136,150,154,186,193],"visible":[39],"data,":[40],"our":[41,190],"takes":[43],"initial":[45],"inputs":[46],"as":[47,128,130,142],"explicit":[48],"positive":[49,80,94,117],"reference":[50],"extend":[52],"exploring":[56],"implic":[58],"it":[59],"negatives.":[60],"Given":[61],"group":[63],"images":[65],"contains":[67],"obvious":[68],"concepts,":[70],"create":[72],"customized":[74],"image":[75,170,180],"ontology":[76],"consisting":[77],"both":[79,115,162,176],"negative":[82,119],"instances":[83],"mining":[85],"most":[87],"related":[88],"confusable":[90],"neighbors":[91],"concept":[95],"in":[96],"ontological":[97],"semantic":[98,147],"knowledge":[99],"bases.":[100],"The":[101],"new":[106],"item":[107],"is":[108],"then":[109],"determined":[110],"its":[112],"likelihoods":[113],"for":[114],"references.":[120],"To":[121],"ensure":[122],"effectiveness":[124],"probability":[126],"inference":[127],"well":[129],"plausibility,":[133],"discover":[135],"potential":[137],"prototypes":[138],"treat":[140],"them":[141],"an":[143],"intermediate":[144],"representation":[145],"concepts.":[148],"experiment,":[151],"evaluate":[153],"performance":[155,188],"human":[163],"judgements":[164],"user-click":[166],"logs":[167],"commercial":[169],"search":[171],"engine.":[172],"Experimental":[173],"results":[174],"Image":[177],"Net":[178],"sets":[181],"general":[183],"concepts":[184],"demonstrate":[185],"superior":[187],"against":[192],"state-of-the-arts.":[194]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}