{"id":"https://openalex.org/W7138092474","doi":"https://doi.org/10.1609/aaai.v40i21.38824","title":"TuningIQA: Fine-Grained Blind Image Quality Assessment for Livestreaming Camera Tuning","display_name":"TuningIQA: Fine-Grained Blind Image Quality Assessment for Livestreaming Camera Tuning","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138092474","doi":"https://doi.org/10.1609/aaai.v40i21.38824"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i21.38824","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i21.38824","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i21.38824","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044278717","display_name":"Xiangfei Sheng","orcid":"https://orcid.org/0009-0004-8468-1970"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiangfei Sheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061798935","display_name":"Zhichao Duan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhichao Duan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102489274","display_name":"Xiaofeng Pan","orcid":"https://orcid.org/0009-0007-0719-3780"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaofeng Pan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016576297","display_name":"Yipo Huang","orcid":"https://orcid.org/0000-0003-0908-2180"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yipo Huang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129683287","display_name":"Zhichao Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhichao Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129745464","display_name":"Pengfei Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pengfei Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129664673","display_name":"Leida Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leida Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2489678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"21","first_page":"17679","last_page":"17687"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9563999772071838,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9563999772071838,"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":0.028999999165534973,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.0026000000070780516,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.6288999915122986},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6098999977111816},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5738999843597412},{"id":"https://openalex.org/keywords/scene-statistics","display_name":"Scene statistics","score":0.5486000180244446},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5354999899864197},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4878000020980835},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.38920000195503235},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37130001187324524}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7728999853134155},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7669000029563904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7091000080108643},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6288999915122986},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6098999977111816},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5738999843597412},{"id":"https://openalex.org/C197654239","wikidata":"https://www.wikidata.org/wiki/Q7430757","display_name":"Scene statistics","level":3,"score":0.5486000180244446},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5354999899864197},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4878000020980835},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.38920000195503235},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37130001187324524},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.36160001158714294},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35989999771118164},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.3197000026702881},{"id":"https://openalex.org/C94816000","wikidata":"https://www.wikidata.org/wiki/Q5026006","display_name":"Camera auto-calibration","level":3,"score":0.31220000982284546},{"id":"https://openalex.org/C119657128","wikidata":"https://www.wikidata.org/wiki/Q11633","display_name":"Photography","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.2759999930858612},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.25920000672340393}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i21.38824","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i21.38824","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/38824","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/38824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i21.38824","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i21.38824","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1143917335","display_name":null,"funder_award_id":"62471349","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2262808377","display_name":null,"funder_award_id":"62301378","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4654570046","display_name":null,"funder_award_id":"62501080","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5202561959","display_name":null,"funder_award_id":"YJSJ25004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5703492753","display_name":null,"funder_award_id":"YJSJ25004","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6468169989","display_name":null,"funder_award_id":"62171340","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7698327046","display_name":null,"funder_award_id":"2024M762553","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8295620307","display_name":null,"funder_award_id":"QTZX25076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8462500887","display_name":null,"funder_award_id":"2024M762553","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8750420762","display_name":null,"funder_award_id":"QTZX25076","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Livestreaming":[0],"has":[1],"become":[2],"increasingly":[3],"prevalent":[4],"in":[5,139],"modern":[6],"visual":[7],"communication,":[8],"where":[9],"automatic":[10],"camera":[11,59,82,115,124,154],"quality":[12,30,49,94,145],"tuning":[13,25],"is":[14],"essential":[15],"for":[16,57,113,152],"delivering":[17],"superior":[18,148],"user":[19],"Quality":[20],"of":[21],"Experience":[22],"(QoE).":[23],"Such":[24],"requires":[26],"accurate":[27],"blind":[28],"image":[29],"assessment":[31],"(BIQA)":[32],"to":[33],"guide":[34],"parameter":[35,60,83,125],"optimization":[36],"decisions.":[37],"Unfortunately,":[38],"the":[39],"existing":[40],"BIQA":[41,73,111,137],"models":[42],"typically":[43],"only":[44],"predict":[45],"an":[46],"overall":[47],"coarse-grained":[48],"score,":[50],"which":[51,117],"cannot":[52],"provide":[53],"fine-grained":[54,72,98,110,144],"perceptual":[55],"guidance":[56],"precise":[58],"tuning.":[61,155],"To":[62],"bridge":[63],"this":[64],"gap,":[65],"we":[66,105],"first":[67],"establish":[68],"FGLive-10K,":[69,104],"a":[70,109],"comprehensive":[71],"database":[74],"containing":[75],"10,185":[76],"high-resolution":[77],"images":[78],"captured":[79],"under":[80],"varying":[81],"configurations":[84],"across":[85],"diverse":[86],"livestreaming":[87,114,153],"scenarios.":[88],"The":[89],"dataset":[90],"features":[91],"50,925":[92],"multi-attribute":[93],"annotations":[95],"and":[96,122,129,143],"19,234":[97],"pairwise":[99],"preference":[100],"annotations.":[101],"Based":[102],"on":[103],"further":[106],"develop":[107],"TuningIQA,":[108],"metric":[112],"tuning,":[116],"integrates":[118],"human-aware":[119],"feature":[120],"extraction":[121],"graph-based":[123],"fusion.":[126],"Extensive":[127],"experiments":[128],"comparisons":[130],"demonstrate":[131],"that":[132],"TuningIQA":[133],"significantly":[134],"outperforms":[135],"state-of-the-art":[136],"methods":[138],"both":[140],"score":[141],"regression":[142],"ranking,":[146],"achieving":[147],"performance":[149],"when":[150],"deployed":[151]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-03-18T00:00:00"}