{"id":"https://openalex.org/W2129534953","doi":"https://doi.org/10.1109/icassp.2011.5946912","title":"A new method for visual stylometry on impressionist paintings","display_name":"A new method for visual stylometry on impressionist paintings","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2129534953","doi":"https://doi.org/10.1109/icassp.2011.5946912","mag":"2129534953"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5079958889","display_name":"Hanchao Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hanchao Qi","raw_affiliation_strings":["Department of Electrical, Computer, and Energy Engineering, University of Colorado Boulder, USA","Department of Electrical, Computer and Energy Engineering, University of Colorado at Boulder, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer, and Energy Engineering, University of Colorado Boulder, USA","institution_ids":["https://openalex.org/I188538660"]},{"raw_affiliation_string":"Department of Electrical, Computer and Energy Engineering, University of Colorado at Boulder, USA#TAB#","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102132389","display_name":"Shannon M. Hughes","orcid":null},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shannon Hughes","raw_affiliation_strings":["Department of Electrical, Computer, and Energy Engineering, University of Colorado Boulder, USA","Department of Electrical, Computer and Energy Engineering, University of Colorado at Boulder, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer, and Energy Engineering, University of Colorado Boulder, USA","institution_ids":["https://openalex.org/I188538660"]},{"raw_affiliation_string":"Department of Electrical, Computer and Energy Engineering, University of Colorado at Boulder, USA#TAB#","institution_ids":["https://openalex.org/I188538660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079958889"],"corresponding_institution_ids":["https://openalex.org/I188538660"],"apc_list":null,"apc_paid":null,"fwci":0.4121,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.62729766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2036","last_page":"2039"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9952999949455261,"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":0.9952999949455261,"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/T12632","display_name":"Visual Culture and Art Theory","score":0.9045000076293945,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/painting","display_name":"Painting","score":0.7703583240509033},{"id":"https://openalex.org/keywords/stylometry","display_name":"Stylometry","score":0.7319793105125427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6917729377746582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6692286729812622},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5331178307533264},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4671136140823364},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.45991602540016174},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4211091101169586},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32888150215148926},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.23613828420639038},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.1964200735092163}],"concepts":[{"id":"https://openalex.org/C205783811","wikidata":"https://www.wikidata.org/wiki/Q11629","display_name":"Painting","level":2,"score":0.7703583240509033},{"id":"https://openalex.org/C11192451","wikidata":"https://www.wikidata.org/wiki/Q2032038","display_name":"Stylometry","level":2,"score":0.7319793105125427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6917729377746582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6692286729812622},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5331178307533264},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4671136140823364},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.45991602540016174},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4211091101169586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32888150215148926},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.23613828420639038},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.1964200735092163}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2011.5946912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":7,"referenced_works":["https://openalex.org/W1522968858","https://openalex.org/W2108240927","https://openalex.org/W2112422763","https://openalex.org/W2154985309","https://openalex.org/W2164503390","https://openalex.org/W2168796889","https://openalex.org/W6631378878"],"related_works":["https://openalex.org/W2895461980","https://openalex.org/W2187670843","https://openalex.org/W2027650462","https://openalex.org/W2768755876","https://openalex.org/W2285499887","https://openalex.org/W2155953932","https://openalex.org/W2187360386","https://openalex.org/W2619884807","https://openalex.org/W3007882868","https://openalex.org/W2994280181"],"abstract_inverted_index":{"A":[0],"new":[1,75,208],"emerging":[2],"field,":[3],"that":[4,40,49,164,214],"of":[5,8,23,52,88,98,118,126,132,145,175,189,203],"visual":[6],"stylometry":[7],"art,":[9],"proposes":[10],"to":[11,19,27,46,112,232],"apply":[12],"image":[13],"analysis":[14],"and":[15,64,94,138,148,185,192,229],"machine":[16,67],"learning":[17],"tools":[18],"high-resolution":[20,129],"digital":[21,130],"images":[22,131],"artwork":[24],"in":[25,31,178,197,209,223],"order":[26],"assist":[28],"art":[29],"connoisseurs":[30],"determining":[32],"the":[33,53,99,106,119,162,182,187,198,226],"painting's":[34,100,235],"likely":[35,45],"creator.":[36],"The":[37],"premise":[38],"is":[39,44,150],"each":[41,176],"artist's":[42,54],"brushwork":[43],"contain":[47],"features":[48,60,83,195],"are":[50,207],"characteristic":[51],"unique":[55],"habitual":[56],"physical":[57],"movements;":[58],"these":[59,204],"could":[61],"be":[62,218],"identified":[63],"characterized":[65],"through":[66],"learning.":[68],"In":[69],"this":[70,78,153,210],"paper,":[71],"we":[72],"describe":[73],"a":[74,219,234],"technique":[76,110,205],"for":[77,84],"problem.":[79],"We":[80,103,156,212],"extract,":[81],"as":[82],"our":[85,165,179,215],"classifier,":[86],"parameters":[87],"both":[89,190],"Hidden":[90],"Markov":[91],"Tree":[92],"models":[93,97],"linear":[95,193],"predictor":[96,194],"wavelet":[101],"coefficients.":[102],"then":[104],"use":[105,188],"FINE":[107,183],"dimensionality":[108],"reduction":[109],"[1]":[111],"produce":[113],"an":[114],"unsupervised":[115,154],"low-dimensional":[116],"embedding":[117],"data.":[120],"Tests":[121],"on":[122],"two":[123],"dataset":[124],"consisting":[125],"over":[127],"100":[128],"impressionist":[133],"paintings":[134,144],"by":[135],"Van":[136,146],"Gogh":[137,147],"contemporaries":[139],"shows":[140],"good":[141],"separation":[142],"between":[143],"others":[149],"achieved":[151],"via":[152],"process.":[155],"further":[157],"show":[158],"(through":[159],"comparison":[160],"with":[161,225],"alternative)":[163],"method":[166,216],"benefits":[167],"greatly":[168],"from":[169],"(1)":[170],"using":[171],"only":[172],"background":[173],"sections":[174],"painting":[177],"analysis,":[180],"(2)":[181],"technique,":[184],"(3)":[186],"HMT":[191],"together":[196],"same":[199],"analysis.":[200],"All":[201],"three":[202],"choices":[206],"paper.":[211],"hope":[213],"can":[217],"tool,":[220],"used":[221],"carefully":[222],"conjunction":[224],"connoisseur's":[227],"expertise":[228],"other":[230],"examinations,":[231],"determine":[233],"true":[236],"authorship.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
