{"id":"https://openalex.org/W3010772116","doi":"https://doi.org/10.1007/s11042-020-09995-z","title":"Visual link retrieval and knowledge discovery in painting datasets","display_name":"Visual link retrieval and knowledge discovery in painting datasets","publication_year":2020,"publication_date":"2020-10-18","ids":{"openalex":"https://openalex.org/W3010772116","doi":"https://doi.org/10.1007/s11042-020-09995-z","mag":"3010772116"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-020-09995-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-020-09995-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-020-09995-z.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11042-020-09995-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Giovanna Castellano","orcid":null},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giovanna Castellano","raw_affiliation_strings":["Department of Computer Science, University of Bari \u201cAldo Moro\u201d, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bari \u201cAldo Moro\u201d, Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Eufemia Lella","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eufemia Lella","raw_affiliation_strings":["Innovation Lab, Exprivia S.p.A., Molfetta, Italy"],"affiliations":[{"raw_affiliation_string":"Innovation Lab, Exprivia S.p.A., Molfetta, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Gennaro Vessio","orcid":"https://orcid.org/0000-0002-0883-2691"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gennaro Vessio","raw_affiliation_strings":["Department of Computer Science, University of Bari \u201cAldo Moro\u201d, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bari \u201cAldo Moro\u201d, Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5561750"],"apc_list":null,"apc_paid":null,"fwci":2.842,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":{"value":0.91159985,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"80","issue":"5","first_page":"6599","last_page":"6616"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.887499988079071,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.887499988079071,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13342","display_name":"Art History and Market Analysis","score":0.010499999858438969,"subfield":{"id":"https://openalex.org/subfields/1213","display_name":"Visual Arts and Performing Arts"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.009200000204145908,"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/painting","display_name":"Painting","score":0.7348999977111816},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.7095000147819519},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6419000029563904},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5037999749183655},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4510999917984009},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4327000081539154},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4242999851703644},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3889000117778778},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.37439998984336853},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.3675000071525574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8910999894142151},{"id":"https://openalex.org/C205783811","wikidata":"https://www.wikidata.org/wiki/Q11629","display_name":"Painting","level":2,"score":0.7348999977111816},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.7095000147819519},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6419000029563904},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5037999749183655},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4918999969959259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4918000102043152},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4510999917984009},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4327000081539154},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4242999851703644},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3889000117778778},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.37439998984336853},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.3675000071525574},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.35359999537467957},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.3375999927520752},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.31150001287460327},{"id":"https://openalex.org/C513874922","wikidata":"https://www.wikidata.org/wiki/Q212805","display_name":"Digital library","level":3,"score":0.30809998512268066},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C70789860","wikidata":"https://www.wikidata.org/wiki/Q2018526","display_name":"The arts","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2696000039577484},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2529999911785126},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.25290000438690186},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11042-020-09995-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-020-09995-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-020-09995-z.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2003.08476","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.08476","pdf_url":"https://arxiv.org/pdf/2003.08476","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:ricerca.uniba.it:11586/314405","is_oa":true,"landing_page_url":"https://hdl.handle.net/11586/314405","pdf_url":null,"source":{"id":"https://openalex.org/S4377196296","display_name":"CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5561750","host_organization_name":"University of Bari Aldo Moro","host_organization_lineage":["https://openalex.org/I5561750"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s11042-020-09995-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-020-09995-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-020-09995-z.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6709071089","display_name":null,"funder_award_id":"PON AIM 1852414","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"}],"funders":[{"id":"https://openalex.org/F4320321873","display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","ror":"https://ror.org/0166hxq48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3010772116.pdf","grobid_xml":"https://content.openalex.org/works/W3010772116.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W89375283","https://openalex.org/W300217873","https://openalex.org/W1519532587","https://openalex.org/W1793977698","https://openalex.org/W1972498830","https://openalex.org/W2018289787","https://openalex.org/W2022447162","https://openalex.org/W2045086083","https://openalex.org/W2056944867","https://openalex.org/W2057624659","https://openalex.org/W2063187727","https://openalex.org/W2099970772","https://openalex.org/W2117539524","https://openalex.org/W2128907386","https://openalex.org/W2270586871","https://openalex.org/W2295124130","https://openalex.org/W2510733224","https://openalex.org/W2520188521","https://openalex.org/W2520857446","https://openalex.org/W2531984022","https://openalex.org/W2565516711","https://openalex.org/W2598049534","https://openalex.org/W2605363142","https://openalex.org/W2766086266","https://openalex.org/W2801516600","https://openalex.org/W2802832784","https://openalex.org/W2884238566","https://openalex.org/W2888088799","https://openalex.org/W2894607199","https://openalex.org/W2903503736","https://openalex.org/W2927066960","https://openalex.org/W2962837952","https://openalex.org/W2965570799","https://openalex.org/W2999161229","https://openalex.org/W3000466451","https://openalex.org/W3034740265","https://openalex.org/W6604344240"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Visual":[1,65],"arts":[2,27],"are":[3,143],"of":[4,14,18,22,35,128],"inestimable":[5],"importance":[6],"for":[7,54],"the":[8,19,126,129,135],"cultural,":[9],"historic":[10],"and":[11,38,58,81],"economic":[12],"growth":[13],"our":[15],"society.":[16],"One":[17],"building":[20],"blocks":[21],"most":[23],"analysis":[24,103],"in":[25,61,139],"visual":[26,47,55],"is":[28,68,97],"to":[29,77,88,108,148],"find":[30],"similarity":[31],"relationships":[32],"among":[33,91,111],"paintings":[34,120],"different":[36],"artists":[37,124],"painting":[39,63],"schools.":[40],"To":[41],"help":[42],"art":[43],"historians":[44],"better":[45],"understand":[46],"arts,":[48],"this":[49],"paper":[50],"presents":[51],"a":[52,72,82,101,117],"framework":[53],"link":[56,66],"retrieval":[57,67],"knowledge":[59,95],"discovery":[60,96],"digital":[62],"datasets.":[64],"accomplished":[69],"by":[70,99,121],"using":[71],"deep":[73],"convolutional":[74],"neural":[75],"network":[76],"perform":[78],"feature":[79],"extraction":[80],"fully":[83],"unsupervised":[84,132],"nearest":[85],"neighbor":[86],"mechanism":[87],"retrieve":[89],"links":[90],"digitized":[92],"paintings.":[93],"Historical":[94],"achieved":[98],"performing":[100],"graph":[102],"that":[104],"makes":[105,134],"it":[106],"possible":[107],"study":[109],"influences":[110],"artists.":[112],"An":[113],"experimental":[114],"evaluation":[115],"on":[116],"database":[118],"collecting":[119],"very":[122],"popular":[123],"shows":[125],"effectiveness":[127],"method.":[130],"The":[131],"strategy":[133],"method":[136],"interesting":[137],"especially":[138],"cases":[140],"where":[141],"metadata":[142],"scarce,":[144],"unavailable":[145],"or":[146],"difficult":[147],"collect.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":8}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2020-03-23T00:00:00"}
