{"id":"https://openalex.org/W4403792145","doi":"https://doi.org/10.1145/3664647.3680972","title":"Semantics-Aware Image Aesthetics Assessment using Tag Matching and Contrastive Ranking","display_name":"Semantics-Aware Image Aesthetics Assessment using Tag Matching and Contrastive Ranking","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403792145","doi":"https://doi.org/10.1145/3664647.3680972"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3680972","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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/A5101448608","display_name":"Zhichao Yang","orcid":"https://orcid.org/0009-0008-3398-1286"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhichao Yang","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033615240","display_name":"Leida Li","orcid":"https://orcid.org/0000-0001-9069-8796"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leida Li","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063520709","display_name":"Pengfei Chen","orcid":"https://orcid.org/0000-0002-0509-3782"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Chen","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074780876","display_name":"Jinjian Wu","orcid":"https://orcid.org/0000-0001-7501-0009"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjian Wu","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037310802","display_name":"Weisheng Dong","orcid":"https://orcid.org/0000-0002-9632-985X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weisheng Dong","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101448608"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.9971,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7785239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2632","last_page":"2641"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9934999942779541,"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":0.9934999942779541,"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":0.9839000105857849,"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/T14254","display_name":"Digital Media and Visual Art","score":0.9775999784469604,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/semantics","display_name":"Semantics (computer science)","score":0.7420097589492798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6892328858375549},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6470543146133423},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.601134717464447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5068052411079407},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4980661869049072},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42990612983703613},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3848457932472229},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3707178235054016},{"id":"https://openalex.org/keywords/aesthetics","display_name":"Aesthetics","score":0.3511589467525482},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17823147773742676},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.1427701711654663},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08942937850952148},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0665716826915741}],"concepts":[{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.7420097589492798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6892328858375549},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6470543146133423},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.601134717464447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5068052411079407},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4980661869049072},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42990612983703613},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3848457932472229},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3707178235054016},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.3511589467525482},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17823147773742676},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.1427701711654663},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08942937850952148},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0665716826915741}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3680972","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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":48,"referenced_works":["https://openalex.org/W1511924373","https://openalex.org/W1985748637","https://openalex.org/W2009678853","https://openalex.org/W2056380823","https://openalex.org/W2150707975","https://openalex.org/W2187089797","https://openalex.org/W2217895792","https://openalex.org/W2243549423","https://openalex.org/W2417288846","https://openalex.org/W2484804176","https://openalex.org/W2515223471","https://openalex.org/W2524036617","https://openalex.org/W2529088810","https://openalex.org/W2604528050","https://openalex.org/W2754213847","https://openalex.org/W2798991696","https://openalex.org/W2806817979","https://openalex.org/W2896399498","https://openalex.org/W2931027027","https://openalex.org/W2963722311","https://openalex.org/W2976886057","https://openalex.org/W2981548364","https://openalex.org/W3003957020","https://openalex.org/W3006871679","https://openalex.org/W3096655658","https://openalex.org/W3103635814","https://openalex.org/W4200139856","https://openalex.org/W4212774754","https://openalex.org/W4214745154","https://openalex.org/W4214932255","https://openalex.org/W4234552385","https://openalex.org/W4285606417","https://openalex.org/W4285787548","https://openalex.org/W4287812705","https://openalex.org/W4290052753","https://openalex.org/W4293057409","https://openalex.org/W4309933612","https://openalex.org/W4312244159","https://openalex.org/W4312327698","https://openalex.org/W4312353506","https://openalex.org/W4322576760","https://openalex.org/W4382240262","https://openalex.org/W4382567941","https://openalex.org/W4386076227","https://openalex.org/W4386280974","https://openalex.org/W4387969352","https://openalex.org/W4394862887","https://openalex.org/W6776700526"],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2915512527","https://openalex.org/W51364034","https://openalex.org/W2793336762","https://openalex.org/W2091548507","https://openalex.org/W2368816706","https://openalex.org/W3159414774","https://openalex.org/W4385728102","https://openalex.org/W2572125165"],"abstract_inverted_index":{"The":[0,89,106,177],"perception":[1],"of":[2,10,20,52,129,134,137,163,169],"image":[3,29,42,87],"aesthetics":[4,30,43],"is":[5,109,140],"built":[6],"upon":[7],"the":[8,17,35,49,57,93,97,113,127,132,160,164],"understanding":[9],"semantic":[11,24,50,94,124],"content.":[12],"However,":[13],"how":[14],"to":[15,82,86,111],"evaluate":[16],"aesthetic":[18,58,66,69,99,120,138],"quality":[19],"images":[21,53,61,117],"with":[22,118],"diversified":[23],"backgrounds":[25],"remains":[26],"challenging":[27],"in":[28,167],"assessment":[31,44],"(IAA).":[32],"To":[33],"address":[34],"dilemma,":[36],"this":[37],"paper":[38],"presents":[39],"a":[40],"semantics-aware":[41],"approach,":[45],"which":[46],"first":[47],"analyzes":[48],"content":[51],"and":[54,68,79,96,146,152,173],"then":[55],"models":[56],"distinctions":[59],"among":[60,116],"from":[62],"two":[63,74],"perspectives,":[64],"i.e.,":[65],"attribute":[67],"level.":[70],"Concretely,":[71],"we":[72],"propose":[73],"strategies,":[75],"dubbed":[76],"tag":[77,90,104],"matching":[78,91],"contrastive":[80,107,130,148],"ranking,":[81,131],"extract":[83],"knowledge":[84],"pertaining":[85],"aesthetics.":[88],"identifies":[92],"category":[95],"dominant":[98],"attributes":[100],"based":[101],"on":[102,154],"predefined":[103],"libraries.":[105],"ranking":[108],"designed":[110],"uncover":[112],"comparative":[114],"relationships":[115],"different":[119],"levels":[121],"but":[122],"similar":[123],"backgrounds.":[125],"In":[126],"process":[128],"impact":[133],"long-tailed":[135,175],"distribution":[136],"data":[139],"also":[141],"considered":[142],"by":[143],"balanced":[144],"sampling":[145],"traversal":[147],"learning.":[149],"Extensive":[150],"experiments":[151],"comparisons":[153],"three":[155],"benchmark":[156],"IAA":[157],"databases":[158],"demonstrate":[159],"superior":[161],"performance":[162],"proposed":[165],"model":[166],"terms":[168],"both":[170],"prediction":[171],"accuracy":[172],"alleviating":[174],"effect.":[176],"code":[178],"will":[179],"be":[180],"public":[181],"at":[182],"https://github.com/yzc-ippl/TMCR":[183],"**REMOVE":[184],"2nd":[185],"URL**://github.com/yzc-ippl/TMCR.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}