{"id":"https://openalex.org/W4293057409","doi":"https://doi.org/10.1109/tcsvt.2022.3201510","title":"Comment-Guided Semantics-Aware Image Aesthetics Assessment","display_name":"Comment-Guided Semantics-Aware Image Aesthetics Assessment","publication_year":2022,"publication_date":"2022-08-25","ids":{"openalex":"https://openalex.org/W4293057409","doi":"https://doi.org/10.1109/tcsvt.2022.3201510"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3201510","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3201510","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5066931530","display_name":"Yuzhen Niu","orcid":"https://orcid.org/0000-0002-9874-9719"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]},{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuzhen Niu","raw_affiliation_strings":["Fujian Key Laboratory of Network Computing and Intelligent Information Processing, College of Computer and Data Science, Fuzhou University, Fuzhou, China","Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Network Computing and Intelligent Information Processing, College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416650","display_name":"Shanshan Chen","orcid":"https://orcid.org/0000-0001-9723-2403"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Chen","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030130014","display_name":"Bingrui Song","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingrui Song","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029561060","display_name":"Zhixian Chen","orcid":"https://orcid.org/0000-0003-4006-022X"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixian Chen","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045303340","display_name":"Wenxi Liu","orcid":"https://orcid.org/0000-0002-3630-6322"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxi Liu","raw_affiliation_strings":["Fujian Key Laboratory of Network Computing and Intelligent Information Processing, College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Network Computing and Intelligent Information Processing, College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066931530"],"corresponding_institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":3.6209,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.94388849,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"33","issue":"3","first_page":"1487","last_page":"1492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9955999851226807,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9954000115394592,"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":0.7318249344825745},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.7096964716911316},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5519421696662903},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5486205816268921},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.5347309112548828},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5003247261047363},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4944789409637451},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4560331106185913},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42230290174484253},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.370689332485199},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33891037106513977},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.22639742493629456},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.06895813345909119}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7318249344825745},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.7096964716911316},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5519421696662903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5486205816268921},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.5347309112548828},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5003247261047363},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4944789409637451},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4560331106185913},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42230290174484253},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.370689332485199},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33891037106513977},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.22639742493629456},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.06895813345909119},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3201510","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3201510","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2167958946","display_name":null,"funder_award_id":"61972097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2975889368","display_name":null,"funder_award_id":"2020J01494","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G3794798619","display_name":null,"funder_award_id":"U21A20472","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5288082521","display_name":null,"funder_award_id":"62072110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6033527440","display_name":null,"funder_award_id":"2021HZ022007","funder_id":"https://openalex.org/F4320317314","funder_display_name":"Science and Technology Projects of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320317314","display_name":"Science and Technology Projects of Fujian Province","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1511924373","https://openalex.org/W1972942324","https://openalex.org/W2048835603","https://openalex.org/W2078807908","https://openalex.org/W2194775991","https://openalex.org/W2217895792","https://openalex.org/W2340503391","https://openalex.org/W2347072820","https://openalex.org/W2467531333","https://openalex.org/W2524036617","https://openalex.org/W2604528050","https://openalex.org/W2611605940","https://openalex.org/W2747102465","https://openalex.org/W2754213847","https://openalex.org/W2756217618","https://openalex.org/W2768010949","https://openalex.org/W2793668851","https://openalex.org/W2891102825","https://openalex.org/W2897926040","https://openalex.org/W2904572228","https://openalex.org/W2964084596","https://openalex.org/W2964247799","https://openalex.org/W2973131617","https://openalex.org/W2976886057","https://openalex.org/W3009145072","https://openalex.org/W3034652828","https://openalex.org/W3035523707","https://openalex.org/W3044005992","https://openalex.org/W3090948074","https://openalex.org/W3093185587","https://openalex.org/W3093501041","https://openalex.org/W3103635814","https://openalex.org/W3135971978","https://openalex.org/W3161307409","https://openalex.org/W3163493158","https://openalex.org/W3171472210","https://openalex.org/W3175848626","https://openalex.org/W4210814507","https://openalex.org/W4231510805","https://openalex.org/W4285787548","https://openalex.org/W6639619044","https://openalex.org/W6704181402","https://openalex.org/W6743006830","https://openalex.org/W6804064755"],"related_works":["https://openalex.org/W3126382579","https://openalex.org/W3107650560","https://openalex.org/W4315588616","https://openalex.org/W4317422773","https://openalex.org/W2888805565","https://openalex.org/W2810542905","https://openalex.org/W2129350855","https://openalex.org/W2913821620","https://openalex.org/W3123667230","https://openalex.org/W2155531513"],"abstract_inverted_index":{"Existing":[0],"image":[1,52,60,73,82,92,177],"aesthetics":[2,61,74,83,158,178],"assessment":[3,62,179],"methods":[4],"mainly":[5],"rely":[6],"on":[7],"the":[8,20,26,32,88,94,130,135,172],"visual":[9],"features":[10,96,161],"of":[11,23,34,90,97],"images":[12,30],"but":[13],"ignore":[14],"their":[15],"rich":[16,42],"semantics.":[17],"Nowadays,":[18],"with":[19],"widespread":[21],"application":[22],"social":[24],"media,":[25],"comments":[27,100,136],"corresponding":[28,99],"to":[29,49,128,155],"in":[31],"form":[33],"texts":[35],"can":[36,46,145],"be":[37,47],"easily":[38],"accessed":[39],"and":[40,76,118,142,159],"provide":[41],"semantic":[43,160],"information,":[44],"which":[45,64],"utilized":[48],"effectively":[50],"complement":[51],"features.":[53],"This":[54],"paper":[55],"proposes":[56],"a":[57,68,108,163],"comment-guided":[58,77,143],"semantics-aware":[59],"method,":[63],"is":[65],"built":[66],"upon":[67],"multi-task":[69],"learning":[70,111],"framework":[71,112],"for":[72,113],"prediction":[75,117,125],"semantics":[78,89,131,144],"classification.":[79],"To":[80],"assist":[81],"assessment,":[84],"we":[85],"first":[86],"model":[87],"an":[91],"as":[93,148],"topic":[95,115],"its":[98],"using":[101,162],"Latent":[102],"Dirichlet":[103],"Allocation.":[104],"We":[105,152],"then":[106],"propose":[107,154],"two-stream":[109],"multitask":[110],"both":[114],"feature":[116,124,165],"aesthetic":[119],"score":[120],"distribution":[121],"prediction.":[122],"Topic":[123],"task":[126],"enables":[127],"infer":[129],"from":[132],"images,":[133],"since":[134],"are":[137],"usually":[138],"unavailable":[139],"during":[140,150],"inference":[141],"only":[146],"serve":[147],"supervision":[149],"training.":[151],"further":[153],"deeply":[156],"fuse":[157],"layerwise":[164],"fusion":[166],"method.":[167],"Experimental":[168],"results":[169],"demonstrate":[170],"that":[171],"proposed":[173],"method":[174],"outperforms":[175],"state-of-the-art":[176],"methods.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":9}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
