{"id":"https://openalex.org/W4391305674","doi":"https://doi.org/10.1109/tcsvt.2024.3359667","title":"Deep Blind Image Quality Assessment Using Dynamic Neural Model With Dual-Order Statistics","display_name":"Deep Blind Image Quality Assessment Using Dynamic Neural Model With Dual-Order Statistics","publication_year":2024,"publication_date":"2024-01-29","ids":{"openalex":"https://openalex.org/W4391305674","doi":"https://doi.org/10.1109/tcsvt.2024.3359667"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3359667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3359667","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/A5101957983","display_name":"Zihan Zhou","orcid":"https://orcid.org/0009-0002-9375-1905"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihan Zhou","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China","College of Mathematics and Informatics, South China Agricultural University, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]},{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336808","display_name":"Jing Li","orcid":"https://orcid.org/0000-0001-8645-9709"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["Moku Laboratory, Alibaba Group, Beijing, China","Moku Lab, Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Moku Laboratory, Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Moku Lab, Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020088084","display_name":"Dexiang Zhong","orcid":"https://orcid.org/0000-0001-8290-1803"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dexiang Zhong","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China","College of Mathematics and Informatics, South China Agricultural University, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]},{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010277066","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0001-7183-3155"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","School of Computer Science and Engineering, South China University of Technology, China","PengCheng Lab, Shenzhen, China","Pazhou Lab, GuangZhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"PengCheng Lab, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Pazhou Lab, GuangZhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004453915","display_name":"Patrick Le Callet","orcid":"https://orcid.org/0000-0002-2143-7063"},"institutions":[{"id":"https://openalex.org/I100445878","display_name":"\u00c9cole Centrale de Nantes","ror":"https://ror.org/03nh7d505","country_code":"FR","type":"education","lineage":["https://openalex.org/I100445878","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210117005","display_name":"Laboratoire des Sciences du Num\u00e9rique de Nantes","ror":"https://ror.org/02snf8m58","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100445878","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I4210117005","https://openalex.org/I4210124215","https://openalex.org/I4210127572","https://openalex.org/I4210139971","https://openalex.org/I97188460","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Patrick Le Callet","raw_affiliation_strings":["&#x00C9;cole Centrale Nantes, CAPACIT&#x00C9;S SAS, CNRS, LS2N, UMR 6004, Nantes Universit&#x00E9;, Nantes, France","Nantes Universite, Ecole Centrale Nantes, CAPACITES SAS, CNRS, LS2N, UMR 6004, Nantes, France"],"affiliations":[{"raw_affiliation_string":"&#x00C9;cole Centrale Nantes, CAPACIT&#x00C9;S SAS, CNRS, LS2N, UMR 6004, Nantes Universit&#x00E9;, Nantes, France","institution_ids":["https://openalex.org/I100445878","https://openalex.org/I4210117005","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Nantes Universite, Ecole Centrale Nantes, CAPACITES SAS, CNRS, LS2N, UMR 6004, Nantes, France","institution_ids":["https://openalex.org/I97188460","https://openalex.org/I100445878","https://openalex.org/I4210117005","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101957983"],"corresponding_institution_ids":["https://openalex.org/I101479585"],"apc_list":null,"apc_paid":null,"fwci":2.0007,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86815485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"34","issue":"7","first_page":"6279","last_page":"6290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9886000156402588,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/higher-order-statistics","display_name":"Higher-order statistics","score":0.6705570816993713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5948098301887512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5640691518783569},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5239161252975464},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5017390251159668},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.472099244594574},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4421387016773224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.441394567489624},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3779549300670624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2711069583892822},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.17914962768554688}],"concepts":[{"id":"https://openalex.org/C2780576426","wikidata":"https://www.wikidata.org/wiki/Q5757980","display_name":"Higher-order statistics","level":4,"score":0.6705570816993713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5948098301887512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5640691518783569},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5239161252975464},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5017390251159668},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.472099244594574},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4421387016773224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.441394567489624},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3779549300670624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2711069583892822},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.17914962768554688},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2024.3359667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3359667","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"},{"id":"pmh:oai:HAL:hal-04635664v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04635664","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34 (7), pp.6279-6290. &#x27E8;10.1109/TCSVT.2024.3359667&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1829986904","display_name":null,"funder_award_id":"62072188","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":85,"referenced_works":["https://openalex.org/W1967046884","https://openalex.org/W1974013408","https://openalex.org/W1977725648","https://openalex.org/W1982471090","https://openalex.org/W2005001434","https://openalex.org/W2006902599","https://openalex.org/W2092377492","https://openalex.org/W2102166818","https://openalex.org/W2103997799","https://openalex.org/W2106775624","https://openalex.org/W2129644086","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2143901157","https://openalex.org/W2148848374","https://openalex.org/W2171349048","https://openalex.org/W2194775991","https://openalex.org/W2290415093","https://openalex.org/W2303076655","https://openalex.org/W2466606639","https://openalex.org/W2545685597","https://openalex.org/W2563786098","https://openalex.org/W2566149141","https://openalex.org/W2594112328","https://openalex.org/W2601789736","https://openalex.org/W2738692335","https://openalex.org/W2752223497","https://openalex.org/W2754213847","https://openalex.org/W2768340063","https://openalex.org/W2798664922","https://openalex.org/W2896261175","https://openalex.org/W2897228451","https://openalex.org/W2905544033","https://openalex.org/W2915309788","https://openalex.org/W2953590133","https://openalex.org/W2963200935","https://openalex.org/W2963796134","https://openalex.org/W2963918210","https://openalex.org/W2963975576","https://openalex.org/W2970763616","https://openalex.org/W2971245923","https://openalex.org/W2981374717","https://openalex.org/W2985459778","https://openalex.org/W2995343971","https://openalex.org/W2997722932","https://openalex.org/W3002992380","https://openalex.org/W3021151504","https://openalex.org/W3030380536","https://openalex.org/W3034421924","https://openalex.org/W3034882073","https://openalex.org/W3035194714","https://openalex.org/W3035595647","https://openalex.org/W3035664072","https://openalex.org/W3035678286","https://openalex.org/W3035712445","https://openalex.org/W3035719652","https://openalex.org/W3036239693","https://openalex.org/W3047945973","https://openalex.org/W3089885221","https://openalex.org/W3090767700","https://openalex.org/W3091249416","https://openalex.org/W3100404621","https://openalex.org/W3103635814","https://openalex.org/W3104772192","https://openalex.org/W3134397751","https://openalex.org/W3135479537","https://openalex.org/W3173943650","https://openalex.org/W3181848549","https://openalex.org/W3210514413","https://openalex.org/W3216820070","https://openalex.org/W4213430676","https://openalex.org/W4214745154","https://openalex.org/W4225433946","https://openalex.org/W4226478665","https://openalex.org/W4285122806","https://openalex.org/W4285204090","https://openalex.org/W4312037479","https://openalex.org/W4319300354","https://openalex.org/W4385339047","https://openalex.org/W4390874500","https://openalex.org/W6743767099","https://openalex.org/W6767312599","https://openalex.org/W6771249245","https://openalex.org/W6797038219","https://openalex.org/W6803427635"],"related_works":["https://openalex.org/W2352559315","https://openalex.org/W2391251536","https://openalex.org/W2465918047","https://openalex.org/W2362198218","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2375008505","https://openalex.org/W2086348228","https://openalex.org/W2350679292","https://openalex.org/W1982750869"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1],"neural":[2],"networks":[3],"(CNNs)":[4],"have":[5],"increasingly":[6],"become":[7],"a":[8,75,84,146,158,163],"prominent":[9],"method":[10],"for":[11,58],"blind":[12],"image":[13,46],"quality":[14,20,29,43,69,105],"assessment":[15,21],"(BIQA).":[16],"The":[17],"process":[18],"of":[19,44,67,190],"typically":[22],"involves":[23],"feature":[24],"extraction,":[25],"average-based":[26],"pooling,":[27],"and":[28,52,83,97,113,149,176,183],"regression.":[30],"Based":[31],"on":[32,49,94,170,181],"this":[33,54],"process,":[34],"as":[35,37],"well":[36],"the":[38,41,65,191],"consensus":[39],"that":[40,132],"visual":[42,68,104],"an":[45],"mainly":[47],"relies":[48],"its":[50],"content":[51,96],"distortions,":[53],"work":[55],"improves":[56],"CNNs":[57],"BIQA":[59,160],"in":[60,103,128,157],"two":[61,154],"ways.":[62],"First,":[63],"considering":[64,101],"content-awareness":[66,73],"perception,":[70,106],"we":[71,107],"incorporate":[72],"via":[74],"dynamic":[76,85],"filtering":[77],"module":[78,87],"to":[79,88],"extract":[80],"content-adaptive":[81,90,159],"features":[82],"regression":[86],"learn":[89],"perception":[91],"rules":[92],"based":[93],"local":[95,134],"global":[98,110,117,138,151,165],"semantics.":[99],"Second,":[100],"distortion-sensitivity":[102],"introduce":[108],"second-order":[109],"variance":[111],"pooling":[112,119,122,141,166],"combine":[114],"it":[115],"with":[116,142,162,173],"average":[118],"(GAP).":[120],"First-order":[121],"methods":[123],"like":[124],"GAP":[125],"are":[126],"limited":[127],"distinguishing":[129],"complex":[130],"distortions":[131],"cause":[133],"degradation":[135],"while":[136],"preserving":[137],"features.":[139],"Thus,":[140],"dual-order":[143,164],"statistics":[144],"enables":[145],"more":[147],"distortion-sensitive":[148],"discriminative":[150],"representation.":[152],"These":[153],"improvements":[155],"result":[156],"model":[161],"mechanism,":[167],"improving":[168],"generalization":[169],"diverse":[171],"images":[172],"varying":[174],"contents":[175],"distortion":[177,185],"types.":[178],"Extensive":[179],"experiments":[180],"synthetic":[182],"authentic":[184],"datasets":[186],"demonstrate":[187],"state-of-the-art":[188],"performance":[189],"proposed":[192],"approach.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
