{"id":"https://openalex.org/W2023690220","doi":"https://doi.org/10.1109/icip.2013.6738595","title":"We like it! Mapping image preferences on the counting grid","display_name":"We like it! Mapping image preferences on the counting grid","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2023690220","doi":"https://doi.org/10.1109/icip.2013.6738595","mag":"2023690220"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","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/A5028591679","display_name":"Pietro Lovato","orcid":"https://orcid.org/0000-0002-1002-5434"},"institutions":[{"id":"https://openalex.org/I119439378","display_name":"University of Verona","ror":"https://ror.org/039bp8j42","country_code":"IT","type":"education","lineage":["https://openalex.org/I119439378"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"P. Lovato","raw_affiliation_strings":["University of Verona, Strada le Grazie 15, 37134 Verona, Italy","University of Verona, VERONA, Italy#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Verona, Strada le Grazie 15, 37134 Verona, Italy","institution_ids":["https://openalex.org/I119439378"]},{"raw_affiliation_string":"University of Verona, VERONA, Italy#TAB#","institution_ids":["https://openalex.org/I119439378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108685730","display_name":"Alessandro Perina","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Perina","raw_affiliation_strings":["Microsoft Research, One Microsoft Way, Redmond, WA","[Microsoft Research,Redmond,WA,USA]"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, One Microsoft Way, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"[Microsoft Research,Redmond,WA,USA]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042411622","display_name":"De Cheng","orcid":"https://orcid.org/0000-0003-1932-4390"},"institutions":[{"id":"https://openalex.org/I83436808","display_name":"Hankuk University of Foreign Studies","ror":"https://ror.org/051q2m369","country_code":"KR","type":"education","lineage":["https://openalex.org/I83436808"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"D. S. Cheng","raw_affiliation_strings":["Hankuk University of Foreign Studies, South Korea","Hankuk University of Foreign Studies, Yongin, South Korea"],"affiliations":[{"raw_affiliation_string":"Hankuk University of Foreign Studies, South Korea","institution_ids":["https://openalex.org/I83436808"]},{"raw_affiliation_string":"Hankuk University of Foreign Studies, Yongin, South Korea","institution_ids":["https://openalex.org/I83436808"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085430564","display_name":"Cristina Segalin","orcid":"https://orcid.org/0000-0001-7219-7074"},"institutions":[{"id":"https://openalex.org/I119439378","display_name":"University of Verona","ror":"https://ror.org/039bp8j42","country_code":"IT","type":"education","lineage":["https://openalex.org/I119439378"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"C. Segalin","raw_affiliation_strings":["University of Verona, Strada le Grazie 15, 37134 Verona, Italy","University of Verona, VERONA, Italy#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Verona, Strada le Grazie 15, 37134 Verona, Italy","institution_ids":["https://openalex.org/I119439378"]},{"raw_affiliation_string":"University of Verona, VERONA, Italy#TAB#","institution_ids":["https://openalex.org/I119439378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027171279","display_name":"Nicu Sebe","orcid":"https://orcid.org/0000-0002-6597-7248"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"N. Sebe","raw_affiliation_strings":["University of Trento, via Sommarive 14, 38100 Povo - Trento, Italy","University of Trento , Trento , Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento, via Sommarive 14, 38100 Povo - Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"University of Trento , Trento , Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033671063","display_name":"Marco Cristani","orcid":"https://orcid.org/0000-0002-0523-6042"},"institutions":[{"id":"https://openalex.org/I119439378","display_name":"University of Verona","ror":"https://ror.org/039bp8j42","country_code":"IT","type":"education","lineage":["https://openalex.org/I119439378"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Cristani","raw_affiliation_strings":["University of Verona, Strada le Grazie 15, 37134 Verona, Italy","University of Verona, VERONA, Italy#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Verona, Strada le Grazie 15, 37134 Verona, Italy","institution_ids":["https://openalex.org/I119439378"]},{"raw_affiliation_string":"University of Verona, VERONA, Italy#TAB#","institution_ids":["https://openalex.org/I119439378"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5028591679"],"corresponding_institution_ids":["https://openalex.org/I119439378"],"apc_list":null,"apc_paid":null,"fwci":0.8293,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.76313697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2892","last_page":"2896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification 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/T10824","display_name":"Image Retrieval and Classification 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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"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":0.7934434413909912},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6411108374595642},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.6351850628852844},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5765058994293213},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5452755689620972},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5171834230422974},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4990808963775635},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46284717321395874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44208720326423645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32774943113327026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13428667187690735}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7934434413909912},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6411108374595642},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.6351850628852844},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5765058994293213},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5452755689620972},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5171834230422974},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4990808963775635},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46284717321395874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44208720326423645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32774943113327026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13428667187690735},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2013.6738595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.728.638","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.728.638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cristinasegalin.com/public/wp-content/uploads/2014/mypapers/LovatoICIP2013.pdf","raw_type":"text"},{"id":"pmh:oai:iris.unitn.it:11572/97210","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/97210","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W181985881","https://openalex.org/W1511924373","https://openalex.org/W1566135517","https://openalex.org/W1988445395","https://openalex.org/W2003856922","https://openalex.org/W2036293114","https://openalex.org/W2058234041","https://openalex.org/W2067191022","https://openalex.org/W2091120591","https://openalex.org/W2093599331","https://openalex.org/W2100435576","https://openalex.org/W2104915826","https://openalex.org/W2156959027","https://openalex.org/W2168356304","https://openalex.org/W2170658603","https://openalex.org/W2914740575","https://openalex.org/W2963897824","https://openalex.org/W3097096317","https://openalex.org/W4232234795","https://openalex.org/W4243801427","https://openalex.org/W4254955164","https://openalex.org/W4319308497","https://openalex.org/W6632034421","https://openalex.org/W6675445837","https://openalex.org/W6685083886"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2393816671","https://openalex.org/W2158836806","https://openalex.org/W2083665254","https://openalex.org/W2942177010"],"abstract_inverted_index":{"Modeling":[0],"user":[1],"preferences":[2,122],"in":[3,89,98],"photographic":[4],"images":[5],"is":[6,71],"often":[7],"reduced":[8],"to":[9,30,47,102,133,161],"analyzing":[10],"intermediate":[11],"explicit":[12,50],"representations":[13],"(e.g.":[14],"textual":[15],"tags)":[16],"as":[17,126],"means":[18],"of":[19,26,34,53,62],"capturing":[20],"the":[21,32,45,59,63,74,129,135,162],"objective":[22],"and":[23,82,152],"subjective":[24],"properties":[25,61],"image":[27,54,105],"perception,":[28],"trying":[29],"distill":[31],"essence":[33],"what":[35],"gives":[36],"pleasure.":[37],"We":[38,93,141],"propose":[39],"an":[40,49,90],"alternative":[41],"approach":[42],"that":[43,95,119,159],"bypasses":[44],"necessity":[46],"build":[48],"conceptual":[51],"coding":[52],"preferences,":[55],"operating":[56],"directly":[57],"on":[58,110,143],"raw":[60],"images,":[64],"extracted":[65],"with":[66],"heterogeneous":[67],"feature":[68],"descriptors.":[69],"This":[70],"achieved":[72],"through":[73],"counting":[75],"grid":[76],"model,":[77],"which":[78],"fuses":[79],"together":[80],"content-based":[81],"aesthetics":[83],"themes":[84],"into":[85],"a":[86,144],"2D":[87],"map":[88,100],"unsupervised":[91],"way.":[92],"show":[94,118],"certain":[96],"locations":[97],"this":[99],"correspond":[101],"perceptually":[103],"intuitive":[104],"classes,":[106],"even":[107],"without":[108],"relying":[109],"tags":[111],"or":[112],"other":[113],"user-defined":[114],"information.":[115],"Moreover,":[116],"we":[117],"users'":[120,139],"individual":[121],"can":[123],"be":[124],"represented":[125],"distributions":[127],"over":[128],"map,":[130],"allowing":[131],"us":[132],"evaluate":[134],"affinity":[136],"between":[137],"different":[138],"appreciations.":[140],"experiment":[142],"large":[145],"Flickr":[146,164],"dataset,":[147],"clustering":[148],"users":[149,158],"by":[150,156],"affinity,":[151],"validating":[153],"these":[154],"clusters":[155],"checking":[157],"belong":[160],"same":[163],"photo":[165],"groups.":[166]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
