{"id":"https://openalex.org/W2586485153","doi":"https://doi.org/10.1109/smc.2016.7844444","title":"Photo aesthetic quality assessment via label distribution learning","display_name":"Photo aesthetic quality assessment via label distribution learning","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2586485153","doi":"https://doi.org/10.1109/smc.2016.7844444","mag":"2586485153"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2016.7844444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5073521712","display_name":"Xiaowei Zhang","orcid":"https://orcid.org/0000-0003-4854-3736"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaowei Zhang","raw_affiliation_strings":["Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101652488","display_name":"Fei Gao","orcid":"https://orcid.org/0000-0002-8714-0975"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Gao","raw_affiliation_strings":["Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056972984","display_name":"Di Huang","orcid":"https://orcid.org/0000-0002-2412-9330"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Huang","raw_affiliation_strings":["Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011026241","display_name":"Min Tan","orcid":"https://orcid.org/0000-0002-1842-4050"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Tan","raw_affiliation_strings":["Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050817770","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0003-1922-7283"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yu","raw_affiliation_strings":["Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5073521712"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.60739759,"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":"001467","last_page":"001470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9991999864578247,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9991999864578247,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9984999895095825,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.8297774791717529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7055174112319946},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6809446811676025},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6686394214630127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6287182569503784},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6204511523246765},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6157683730125427},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5030671954154968},{"id":"https://openalex.org/keywords/subjectivity","display_name":"Subjectivity","score":0.4647383689880371},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4616953134536743},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43943488597869873},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4347209334373474},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.41881436109542847},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.177626371383667}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.8297774791717529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7055174112319946},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6809446811676025},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6686394214630127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6287182569503784},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6204511523246765},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6157683730125427},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5030671954154968},{"id":"https://openalex.org/C202889954","wikidata":"https://www.wikidata.org/wiki/Q1139554","display_name":"Subjectivity","level":2,"score":0.4647383689880371},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4616953134536743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43943488597869873},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4347209334373474},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.41881436109542847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.177626371383667},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2016.7844444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W244014878","https://openalex.org/W1511924373","https://openalex.org/W1815498672","https://openalex.org/W1938565953","https://openalex.org/W1976414467","https://openalex.org/W1985583020","https://openalex.org/W1994739392","https://openalex.org/W1997095443","https://openalex.org/W2009678853","https://openalex.org/W2048835603","https://openalex.org/W2066454034","https://openalex.org/W2078807908","https://openalex.org/W2080948161","https://openalex.org/W2123432324","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2170658603","https://openalex.org/W2269758193","https://openalex.org/W2342737791","https://openalex.org/W6630520941","https://openalex.org/W6631767438","https://openalex.org/W6638551490","https://openalex.org/W6649928981","https://openalex.org/W6684191040","https://openalex.org/W6685083886","https://openalex.org/W6694232893","https://openalex.org/W6704676174"],"related_works":["https://openalex.org/W2392615731","https://openalex.org/W2380604072","https://openalex.org/W2165912799","https://openalex.org/W2376320687","https://openalex.org/W4256356876","https://openalex.org/W2735662278","https://openalex.org/W4383890670","https://openalex.org/W2394235543","https://openalex.org/W2500325874","https://openalex.org/W2373226572"],"abstract_inverted_index":{"Automatic":[0],"prediction":[1,116],"of":[2,37,53,75,87,93,122],"photo":[3],"aesthetic":[4,39,51,73],"quality":[5,52,74],"is":[6,45,63,82,105,118,133],"useful":[7],"for":[8],"many":[9],"practical":[10],"purposes.":[11],"Current":[12],"computational":[13],"approaches":[14],"typically":[15],"solved":[16],"this":[17],"problem":[18,117],"by":[19,84,90],"assigning":[20],"a":[21,28,42,54,76,91,99],"categorical":[22,43],"label":[23,44,123],"(good":[24],"or":[25],"bad)":[26],"to":[27,32,47,66,107],"photo.":[29,55],"However,":[30],"due":[31],"the":[33,68,72,85,113,130],"subjectivity":[34],"and":[35,136],"complexity":[36],"humans":[38,49],"judgments,":[40],"only":[41],"insufficient":[46],"represent":[48],"perceived":[50],"This":[56],"paper":[57],"focuses":[58],"on":[59],"an":[60],"interesting":[61],"problem:":[62],"it":[64],"possible":[65],"predict":[67],"crowed":[69,79,114],"opinions":[70],"about":[71],"photo?":[77],"The":[78],"opinion":[80,115],"here":[81],"expressed":[83],"distribution":[86,124],"scores":[88],"given":[89,97],"number":[92],"subjects.":[94],"For":[95],"each":[96],"photo,":[98],"deep":[100],"convolutional":[101],"neural":[102],"network":[103],"(DCNN)":[104],"utilized":[106],"calculate":[108],"its":[109],"feature":[110],"representation.":[111],"Afterwards,":[112],"formulated":[119],"as":[120],"one":[121],"learning":[125],"(LDL).":[126],"Experiments":[127],"show":[128],"that":[129],"proposed":[131],"method":[132],"highly":[134],"effective":[135],"outperforms":[137],"state-of-the-art":[138],"algorithms.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}