{"id":"https://openalex.org/W2810523766","doi":"https://doi.org/10.1109/fskd.2017.8393387","title":"Perceptual texture similarity learning using deep neural networks","display_name":"Perceptual texture similarity learning using deep neural networks","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2810523766","doi":"https://doi.org/10.1109/fskd.2017.8393387","mag":"2810523766"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8393387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5101828088","display_name":"Ying Gao","orcid":"https://orcid.org/0000-0002-8925-8192"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Gao","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058230644","display_name":"Yanhai Gan","orcid":"https://orcid.org/0000-0002-5315-2740"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhai Gan","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029633264","display_name":"Junyu Dong","orcid":"https://orcid.org/0000-0001-7012-2087"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyu Dong","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101410859","display_name":"Lin Qi","orcid":"https://orcid.org/0000-0001-6991-4669"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Qi","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066119228","display_name":"Huiyu Zhou","orcid":"https://orcid.org/0000-0003-1634-9840"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huiyu Zhou","raw_affiliation_strings":["Electrical Engineering and Computer Science, Queens University Belfast, Belfast, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science, Queens University Belfast, Belfast, United Kingdom","institution_ids":["https://openalex.org/I126231945"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101828088"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":0.0923,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52659069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"290","issue":null,"first_page":"856","last_page":"860"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.998199999332428,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.998199999332428,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9843999743461609,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9620000123977661,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8111823797225952},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7651451826095581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7318089008331299},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7277147769927979},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6949273347854614},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5807812213897705},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5715010762214661},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5538328886032104},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5502049922943115},{"id":"https://openalex.org/keywords/similarity-learning","display_name":"Similarity learning","score":0.5173675417900085},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5055615901947021},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48201122879981995},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44274401664733887},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09731724858283997},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.051206231117248535}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8111823797225952},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7651451826095581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7318089008331299},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7277147769927979},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6949273347854614},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5807812213897705},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5715010762214661},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5538328886032104},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5502049922943115},{"id":"https://openalex.org/C2779597229","wikidata":"https://www.wikidata.org/wiki/Q17146505","display_name":"Similarity learning","level":3,"score":0.5173675417900085},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5055615901947021},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48201122879981995},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44274401664733887},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09731724858283997},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.051206231117248535},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fskd.2017.8393387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/df43eb23-c7ba-45fa-9afe-5eae0f9eb200","is_oa":false,"landing_page_url":"https://pure.qub.ac.uk/en/publications/df43eb23-c7ba-45fa-9afe-5eae0f9eb200","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Gao , Y , Gan , Y , Dong , J , Qi , L & Zhou , H 2018 , Perceptual texture similarity learning using deep neural networks . in L Zhao , L Wang , G Cai , K Li , Y Liu & G Xiao (eds) , ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery . ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery , Institute of Electrical and Electronics Engineers Inc. , pp. 856-860 , 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2017 , Guilin, Guangxi , China , 29/07/2017 . https://doi.org/10.1109/FSKD.2017.8393387","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G8163518895","display_name":null,"funder_award_id":"EP/N011074/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W397631701","https://openalex.org/W1616262590","https://openalex.org/W1929856797","https://openalex.org/W1955055330","https://openalex.org/W1988445395","https://openalex.org/W1996848687","https://openalex.org/W2001141328","https://openalex.org/W2006516328","https://openalex.org/W2039051707","https://openalex.org/W2047643928","https://openalex.org/W2057324565","https://openalex.org/W2070191668","https://openalex.org/W2075849553","https://openalex.org/W2097117768","https://openalex.org/W2097164673","https://openalex.org/W2110064301","https://openalex.org/W2121947440","https://openalex.org/W2122673410","https://openalex.org/W2125027853","https://openalex.org/W2125148312","https://openalex.org/W2131846894","https://openalex.org/W2153404544","https://openalex.org/W2160642873","https://openalex.org/W2163352848","https://openalex.org/W2163605009","https://openalex.org/W2169216879","https://openalex.org/W2203067890","https://openalex.org/W2555979643","https://openalex.org/W3102431071","https://openalex.org/W4245561386","https://openalex.org/W4247877092","https://openalex.org/W6640083356","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W1845928302","https://openalex.org/W3015847222","https://openalex.org/W4205694692","https://openalex.org/W3208753052","https://openalex.org/W4286892842","https://openalex.org/W2945501053","https://openalex.org/W2890533838","https://openalex.org/W4226448809","https://openalex.org/W2009233101","https://openalex.org/W2786037043"],"abstract_inverted_index":{"The":[0,85],"majority":[1],"of":[2,23,30],"studies":[3],"on":[4,8,75],"texture":[5,31],"analysis":[6],"focus":[7],"classification":[9],"and":[10,12,45,80],"generation,":[11],"few":[13],"works":[14],"concern":[15],"perceptual":[16,36],"similarity":[17,37,52,70,92],"between":[18],"textures,":[19],"which":[20,72],"is":[21,54,73],"one":[22],"the":[24,28,50,90],"fundamental":[25],"problems":[26],"in":[27],"field":[29],"analysis.":[32],"Previous":[33],"methods":[34],"for":[35,69],"learning":[38],"were":[39],"mainly":[40],"assisted":[41],"by":[42],"psychophysical":[43,99],"experiments":[44,100],"computational":[46],"feature":[47],"extraction.":[48],"However,":[49],"calculated":[51],"matrix":[53],"always":[55],"seriously":[56],"biased":[57],"from":[58],"human":[59],"observation.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"propose":[65],"a":[66],"novel":[67],"method":[68],"prediction,":[71],"based":[74],"convolutional":[76],"neural":[77],"networks":[78],"(CNNs)":[79],"stacked":[81],"sparse":[82],"auto-encoder":[83],"(SSAE).":[84],"experimental":[86],"results":[87],"show":[88],"that":[89],"predicted":[91],"matrixes":[93],"are":[94],"more":[95],"perceptually":[96],"consistent":[97],"with":[98],"compared":[101],"to":[102],"other":[103],"predicting":[104],"methods.":[105]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}