{"id":"https://openalex.org/W4408352237","doi":"https://doi.org/10.1109/icassp49660.2025.10889984","title":"Bidirectional Reference Image Quality Assessment via Content-Quality Correlation Modeling","display_name":"Bidirectional Reference Image Quality Assessment via Content-Quality Correlation Modeling","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352237","doi":"https://doi.org/10.1109/icassp49660.2025.10889984"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 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/A5100748112","display_name":"Bo Hu","orcid":"https://orcid.org/0000-0001-5874-3315"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Hu","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Key Laboratory of Image Cognition,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Key Laboratory of Image Cognition,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101562847","display_name":"Wenzhi Chen","orcid":"https://orcid.org/0000-0003-1674-4701"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzhi Chen","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Key Laboratory of Image Cognition,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Key Laboratory of Image Cognition,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728496","display_name":"Chunyi Li","orcid":"https://orcid.org/0000-0003-2061-9452"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyi Li","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Key Laboratory of Image Cognition,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Key Laboratory of Image Cognition,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061201566","display_name":"Jiaxu Leng","orcid":"https://orcid.org/0000-0003-2802-8139"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxu Leng","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Key Laboratory of Image Cognition,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Key Laboratory of Image Cognition,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058194445","display_name":"Weisheng Li","orcid":"https://orcid.org/0000-0002-9033-8245"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weisheng Li","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Key Laboratory of Image Cognition,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Key Laboratory of Image Cognition,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Key Laboratory of Image Cognition,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Key Laboratory of Image Cognition,Chongqing,China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100748112"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":1.3104,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77830642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9273999929428101,"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":0.9273999929428101,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9157000184059143,"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/quality","display_name":"Quality (philosophy)","score":0.7113218307495117},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5927607417106628},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.588520348072052},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.4565318822860718},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4198920726776123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3699968457221985},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2608402967453003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11706319451332092}],"concepts":[{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.7113218307495117},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5927607417106628},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.588520348072052},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.4565318822860718},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4198920726776123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3699968457221985},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2608402967453003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11706319451332092},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1974013408","https://openalex.org/W1977725648","https://openalex.org/W1982471090","https://openalex.org/W2117539524","https://openalex.org/W2148848374","https://openalex.org/W2171349048","https://openalex.org/W2194775991","https://openalex.org/W2518824170","https://openalex.org/W2563786098","https://openalex.org/W2566149141","https://openalex.org/W2739757502","https://openalex.org/W2741137940","https://openalex.org/W2768340063","https://openalex.org/W2794680924","https://openalex.org/W2804763951","https://openalex.org/W2905544033","https://openalex.org/W2953590133","https://openalex.org/W3034882073","https://openalex.org/W3035524453","https://openalex.org/W3035712445","https://openalex.org/W3035719652","https://openalex.org/W3194280054","https://openalex.org/W3210514413","https://openalex.org/W4221144351","https://openalex.org/W4226120621","https://openalex.org/W4280612922","https://openalex.org/W4382450052","https://openalex.org/W4386071514","https://openalex.org/W4386071753","https://openalex.org/W4386076169","https://openalex.org/W4390873394","https://openalex.org/W4392903419","https://openalex.org/W4393148324","https://openalex.org/W4402702941","https://openalex.org/W4402727631","https://openalex.org/W6701249984","https://openalex.org/W6774670964","https://openalex.org/W6795140394"],"related_works":["https://openalex.org/W4250539519","https://openalex.org/W4294018197","https://openalex.org/W4233433299","https://openalex.org/W2379384513","https://openalex.org/W2213288308","https://openalex.org/W2884856691","https://openalex.org/W4244821991","https://openalex.org/W2125732910","https://openalex.org/W2909905999","https://openalex.org/W2317264789"],"abstract_inverted_index":{"The":[0],"emphasis":[1],"on":[2,51,139],"no-reference":[3],"image":[4],"quality":[5,99,113,132],"assessment":[6],"has":[7],"often":[8],"overshadowed":[9],"the":[10,79,102,129,144],"significance":[11],"of":[12,62,81],"Full-Reference":[13],"Image":[14,43],"Quality":[15,44],"Assessment":[16,45],"(FR-IQA),":[17],"which":[18],"generally":[19],"better":[20],"reflects":[21],"human":[22],"contrastive":[23,90],"perception":[24],"mechanism.":[25],"However,":[26],"FRIQA":[27],"presents":[28],"challenges":[29],"in":[30],"obtaining":[31],"content-aligned":[32,63],"reference":[33,54,68],"images.":[34,104],"To":[35,77],"tackle":[36],"these":[37],"issues,":[38],"a":[39,121],"novel":[40],"Bidirectional":[41],"Reference":[42],"(BRIQA)":[46],"method":[47],"is":[48,108,125],"proposed,":[49],"centering":[50],"leveraging":[52],"bidirectional":[53],"images":[55,69],"and":[56,65,98,116,134],"content-quality":[57,122],"correlation":[58,123],"modeling.":[59],"First,":[60],"triplets":[61],"low-quality":[64],"content-non-aligned":[66],"high-quality":[67],"are":[70,92],"generated":[71],"using":[72],"two":[73,84],"easily":[74],"accessible":[75],"approaches.":[76],"prevent":[78],"extraction":[80],"redundant":[82],"information,":[83],"feature":[85],"extractors":[86],"pretrained":[87],"through":[88],"unsupervised":[89],"learning":[91],"utilized":[93],"to":[94,110,127],"independently":[95],"extract":[96],"content":[97,118],"features":[100],"for":[101],"triplet":[103],"Then,":[105],"an":[106],"attention-mixer":[107],"introduced":[109],"further":[111],"mine":[112],"difference":[114],"information":[115],"enhance":[117],"feature.":[119],"Finally,":[120],"modeler":[124],"proposed":[126],"model":[128],"relationship":[130],"between":[131],"differences":[133],"visual":[135],"contents.":[136],"Experimental":[137],"results":[138],"benchmark":[140],"datasets":[141],"demonstrate":[142],"that":[143],"BRIQA":[145],"outperforms":[146],"existing":[147],"state-of-the-art":[148],"methods.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}