{"id":"https://openalex.org/W2964171031","doi":"https://doi.org/10.1109/access.2019.2930707","title":"Siamese-Network-Based Learning to Rank for No-Reference 2D and 3D Image Quality Assessment","display_name":"Siamese-Network-Based Learning to Rank for No-Reference 2D and 3D Image Quality Assessment","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2964171031","doi":"https://doi.org/10.1109/access.2019.2930707","mag":"2964171031"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2930707","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2930707","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08771231.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08771231.pdf","any_repository_has_fulltext":true},"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/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhen Niu","raw_affiliation_strings":["Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9874-9719","affiliations":[{"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/A5050270789","display_name":"Dong Huang","orcid":"https://orcid.org/0000-0003-3923-8828"},"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":"Dong Huang","raw_affiliation_strings":["Fujian Key Laboratory of Network Computing and Intelligent Information Processing, College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Network Computing and Intelligent Information Processing, College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048463515","display_name":"Yiqing Shi","orcid":"https://orcid.org/0000-0003-4179-7389"},"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":"Yiqing Shi","raw_affiliation_strings":["Fujian Key Laboratory of Network Computing and Intelligent Information Processing, College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Network Computing and Intelligent Information Processing, College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101498868","display_name":"Xiao Ke","orcid":"https://orcid.org/0000-0001-9059-5391"},"institutions":[{"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":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Ke","raw_affiliation_strings":["Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9059-5391","affiliations":[{"raw_affiliation_string":"Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou, China","institution_ids":["https://openalex.org/I1327237609"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9925,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.8045323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"101583","last_page":"101595"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"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":1.0,"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":0.9908999800682068,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.986299991607666,"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":0.7548539042472839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7310167551040649},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.7070974707603455},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5925938487052917},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.550024688243866},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5361907482147217},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5229140520095825},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.49800872802734375},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.4892265796661377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4808662533760071},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.47465425729751587},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4162040054798126},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.16681692004203796},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15090054273605347}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7548539042472839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7310167551040649},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.7070974707603455},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5925938487052917},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.550024688243866},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5361907482147217},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5229140520095825},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.49800872802734375},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.4892265796661377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4808662533760071},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.47465425729751587},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4162040054798126},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.16681692004203796},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15090054273605347},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations 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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2930707","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2930707","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08771231.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4e25bc4233f444929784a755daac10d2","is_oa":true,"landing_page_url":"https://doaj.org/article/4e25bc4233f444929784a755daac10d2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 101583-101595 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2930707","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2930707","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08771231.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1417903348","display_name":null,"funder_award_id":"2018J01795","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G2208634940","display_name":null,"funder_award_id":"2017H6008","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G3791469392","display_name":null,"funder_award_id":"61502105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5693662096","display_name":null,"funder_award_id":"2019J02006","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G5932108225","display_name":null,"funder_award_id":"2017H6008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G725298673","display_name":"\u4e0e\u4e3b\u89c2\u611f\u77e5\u4e00\u81f4\u7684\u7acb\u4f53\u56fe\u50cf\u548c\u89c6\u9891\u89c6\u89c9\u8d28\u91cf\u5ba2\u89c2\u8bc4\u4ef7\u4e0e\u589e\u5f3a\u7814\u7a76","funder_award_id":"61672158","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G861713712","display_name":null,"funder_award_id":"2017H0015","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"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964171031.pdf","grobid_xml":"https://content.openalex.org/works/W2964171031.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1500458919","https://openalex.org/W1522301498","https://openalex.org/W1964859077","https://openalex.org/W1977725648","https://openalex.org/W1978301949","https://openalex.org/W1981076008","https://openalex.org/W1982471090","https://openalex.org/W1987489060","https://openalex.org/W2013254516","https://openalex.org/W2040617105","https://openalex.org/W2051596736","https://openalex.org/W2065039464","https://openalex.org/W2073812468","https://openalex.org/W2099308462","https://openalex.org/W2102166818","https://openalex.org/W2129644086","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2161907179","https://openalex.org/W2162692770","https://openalex.org/W2162915697","https://openalex.org/W2168023013","https://openalex.org/W2171349048","https://openalex.org/W2258211000","https://openalex.org/W2293068064","https://openalex.org/W2293889938","https://openalex.org/W2343278664","https://openalex.org/W2463833054","https://openalex.org/W2481395713","https://openalex.org/W2549557196","https://openalex.org/W2557957659","https://openalex.org/W2563786098","https://openalex.org/W2566149141","https://openalex.org/W2579658395","https://openalex.org/W2606244968","https://openalex.org/W2618902759","https://openalex.org/W2624583263","https://openalex.org/W2752223497","https://openalex.org/W2767658402","https://openalex.org/W2768340063","https://openalex.org/W2773173150","https://openalex.org/W2884624567","https://openalex.org/W2904271401","https://openalex.org/W2963299740","https://openalex.org/W3098560717","https://openalex.org/W3100498948","https://openalex.org/W6631190155","https://openalex.org/W6647225686","https://openalex.org/W6660355826","https://openalex.org/W6684791271","https://openalex.org/W6743767099"],"related_works":["https://openalex.org/W3194862240","https://openalex.org/W2896214331","https://openalex.org/W4206325381","https://openalex.org/W2295706819","https://openalex.org/W2161907179","https://openalex.org/W2043597472","https://openalex.org/W54224318","https://openalex.org/W2552902349","https://openalex.org/W2896263975","https://openalex.org/W2061912243"],"abstract_inverted_index":{"2D":[0,28,173,201,210],"image":[1,49,108,127,136,143,147,160],"quality":[2,43,87,121,131],"assessment":[3],"(IQA)":[4],"and":[5,29,105,152,176,178,187,202,205,211],"stereoscopic":[6],"3D":[7,30,180,182,185,203,212],"IQA":[8,37,189,204,213],"are":[9,162],"considered":[10],"as":[11,110],"two":[12,93,107,125],"different":[13],"tasks":[14],"in":[15],"the":[16,36,51,57,60,67,97,120,124,154,193,207],"literature.":[17],"In":[18],"this":[19],"paper,":[20],"we":[21],"present":[22],"an":[23],"index":[24],"for":[25,86,199],"both":[26,200],"no-reference":[27,209],"IQA.":[31],"We":[32,72],"propose":[33,74],"to":[34,77,118,165],"transform":[35],"task":[38,41],"into":[39],"a":[40,75,134],"of":[42,53,59,63,69,114,133,149,156],"comparison":[44],"between":[45,123],"images.":[46],"By":[47],"generating":[48],"pairs,":[50],"amount":[52,62],"training":[54,70],"data":[55],"reaches":[56],"square":[58],"original":[61],"data,":[64],"effectively":[65],"solving":[66],"lacking":[68],"samples.":[71],"also":[73],"learning":[76,117],"rank":[78,119],"model":[79,196],"using":[80],"Siamese":[81],"convolutional":[82],"neural":[83],"networks":[84],"(LRSN)":[85],"comparison.":[88],"The":[89,112,129,168],"presented":[90],"LRSN":[91,115,195],"has":[92],"branches":[94],"that":[95,158,192],"have":[96],"same":[98],"structure,":[99],"share":[100],"weights":[101],"with":[102,145],"each":[103],"other,":[104],"take":[106],"patches":[109,144,148,161],"inputs.":[111],"goal":[113],"is":[116,137],"scores":[122],"input":[126],"patches.":[128,167],"relative":[130],"score":[132],"test":[135],"obtained":[138],"by":[139],"first":[140],"comparing":[141],"its":[142,159],"many":[146],"other":[150,166],"images":[151],"counts":[153],"number":[155],"times":[157],"ranked":[163],"superior":[164],"experimental":[169],"results":[170],"on":[171],"three":[172,179],"(LIVE,":[174],"CSIQ,":[175],"TID2013)":[177],"(LIVE":[181],"Phase-I,":[183],"LIVE":[184],"Phase-II,":[186],"NBU)":[188],"databases":[190],"demonstrate":[191],"proposed":[194],"works":[197],"well":[198],"outperforms":[206],"state-of-the-art":[208],"metrics.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
