{"id":"https://openalex.org/W2017105216","doi":"https://doi.org/10.1109/icip.2014.7025399","title":"Structural texture similarity metric based on intra-class variances","display_name":"Structural texture similarity metric based on intra-class variances","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2017105216","doi":"https://doi.org/10.1109/icip.2014.7025399","mag":"2017105216"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5043251921","display_name":"Matteo Maggioni","orcid":"https://orcid.org/0000-0001-8942-320X"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Matteo Maggioni","raw_affiliation_strings":["Departrnent of Signal Processing, Tampere University of Technology, Tampere, Finland","[Department of Signal Processing, Tampere University of Technology, Tampere, FINLAND]"],"affiliations":[{"raw_affiliation_string":"Departrnent of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]},{"raw_affiliation_string":"[Department of Signal Processing, Tampere University of Technology, Tampere, FINLAND]","institution_ids":["https://openalex.org/I4210133110"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111201294","display_name":"Guoxin Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guoxin Jin","raw_affiliation_strings":["EECS Department, Northwestern University, Evanston, IL, USA","EECS Department, Northwestern University, Evanston, IL USA#TAB#"],"affiliations":[{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL USA#TAB#","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063956725","display_name":"Alessandro Foi","orcid":"https://orcid.org/0000-0001-8228-3187"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Alessandro Foi","raw_affiliation_strings":["Departrnent of Signal Processing, Tampere University of Technology, Tampere, Finland","[Department of Signal Processing, Tampere University of Technology, Tampere, FINLAND]"],"affiliations":[{"raw_affiliation_string":"Departrnent of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]},{"raw_affiliation_string":"[Department of Signal Processing, Tampere University of Technology, Tampere, FINLAND]","institution_ids":["https://openalex.org/I4210133110"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033881432","display_name":"Thrasyvoulos N. Pappas","orcid":"https://orcid.org/0000-0002-4598-2197"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thrasyvoulos N. Pappas","raw_affiliation_strings":["EECS Department, Northwestern University, Evanston, IL, USA","EECS Department, Northwestern University, Evanston, IL USA#TAB#"],"affiliations":[{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL USA#TAB#","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043251921"],"corresponding_institution_ids":["https://openalex.org/I4210133110"],"apc_list":null,"apc_paid":null,"fwci":0.4941,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68802964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1992","last_page":"1996"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9954000115394592,"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":0.9954000115394592,"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":0.9836000204086304,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9815999865531921,"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/similarity","display_name":"Similarity (geometry)","score":0.7624692916870117},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6560798287391663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6310555934906006},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.541038990020752},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5172077417373657},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47801053524017334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4758700728416443},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46909984946250916},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.46380332112312317},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4581448435783386},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.44309699535369873},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4197441041469574},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.41060003638267517},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31091129779815674},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2177877128124237},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17710661888122559}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7624692916870117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6560798287391663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6310555934906006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.541038990020752},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5172077417373657},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47801053524017334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4758700728416443},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46909984946250916},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.46380332112312317},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4581448435783386},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.44309699535369873},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4197441041469574},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.41060003638267517},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31091129779815674},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2177877128124237},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17710661888122559},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2014.7025399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.432.4956","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.432.4956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.tut.fi/~foi/papers/ICIP2014_Maggioni_STSIM-I.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311269","display_name":"KAUTE-S\u00e4\u00e4ti\u00f6","ror":"https://ror.org/00zwv5854"},{"id":"https://openalex.org/F4320322426","display_name":"Nokia Foundation","ror":"https://ror.org/0401nzk46"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1540596182","https://openalex.org/W1973207753","https://openalex.org/W1998419211","https://openalex.org/W2006776449","https://openalex.org/W2056370875","https://openalex.org/W2074462215","https://openalex.org/W2107790757","https://openalex.org/W2120308175","https://openalex.org/W2120838001","https://openalex.org/W2127006916","https://openalex.org/W2130414230","https://openalex.org/W2133665775","https://openalex.org/W2134923629","https://openalex.org/W2137577808","https://openalex.org/W2143170336","https://openalex.org/W6632267817","https://openalex.org/W6679298355","https://openalex.org/W6679997047"],"related_works":["https://openalex.org/W2359776416","https://openalex.org/W2085033728","https://openalex.org/W4249469540","https://openalex.org/W2044270176","https://openalex.org/W2345732485","https://openalex.org/W2374828682","https://openalex.org/W2153116791","https://openalex.org/W2388733570","https://openalex.org/W1980033651","https://openalex.org/W4230530180"],"abstract_inverted_index":{"Traditional":[0],"point-by-point":[1,141],"image":[2,43],"similarity":[3,53,58,133,146],"metrics,":[4],"such":[5,61],"as":[6,110,137,139],"the":[7,26,108,111,118,127],"\u2113":[8],"<sub":[9],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[10],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[11],"-norm,":[12],"are":[13,32],"not":[14],"always":[15],"consistent":[16],"with":[17],"human":[18],"perception,":[19],"especially":[20],"in":[21,147],"textured":[22,64],"regions.":[23],"We":[24,74],"consider":[25],"problem":[27],"of":[28,83,95,102,113,120],"identifying":[29],"textures":[30],"that":[31,79,126],"perceptually":[33,62,103],"identical":[34,63,104],"to":[35,60],"a":[36,81,88,93],"query":[37],"texture;":[38],"this":[39],"is":[40],"important":[41],"for":[42],"retrieval,":[44],"compression,":[45],"and":[46,135,150],"restoration":[47],"applications.":[48],"Recently":[49],"proposed":[50,128],"structural":[51,132],"texture":[52,97,145],"(STSIM)":[54],"metrics":[55,134,142],"assign":[56],"high":[57],"scores":[59],"patches,":[65,105],"even":[66],"though":[67],"they":[68],"may":[69],"have":[70],"significant":[71],"pixel-wise":[72],"deviations.":[73],"use":[75],"an":[76],"STSIM":[77],"approach":[78,129],"compares":[80],"set":[82],"statistical":[84],"patch":[85],"descriptors":[86],"through":[87],"weighted":[89],"distance,":[90],"and,":[91],"given":[92],"dataset":[94],"labeled":[96],"images":[98],"partitioned":[99],"into":[100],"classes":[101],"we":[106],"calculate":[107],"weights":[109],"variances":[112],"each":[114],"statistic":[115],"centered":[116],"around":[117],"mean":[119],"its":[121],"class.":[122],"Experimental":[123],"results":[124],"demonstrate":[125],"outperforms":[130],"existing":[131],"STSIMs":[136],"well":[138],"traditional":[140],"when":[143],"assessing":[144],"both":[148],"noisy":[149],"noise-free":[151],"conditions.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
