{"id":"https://openalex.org/W3089669736","doi":"https://doi.org/10.1109/lsp.2020.3024109","title":"Synthesized View Quality Assessment Using Feature Matching and Superpixel Difference","display_name":"Synthesized View Quality Assessment Using Feature Matching and Superpixel Difference","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3089669736","doi":"https://doi.org/10.1109/lsp.2020.3024109","mag":"3089669736"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.3024109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3024109","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5064520759","display_name":"Saeed Mahmoudpour","orcid":"https://orcid.org/0000-0003-1006-1838"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]},{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Saeed Mahmoudpour","raw_affiliation_strings":["IMEC, Leuven, Belgium","Vrije Universiteit Brussel (VUB), Brussels, Belgium"],"raw_orcid":"https://orcid.org/0000-0003-1006-1838","affiliations":[{"raw_affiliation_string":"IMEC, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]},{"raw_affiliation_string":"Vrije Universiteit Brussel (VUB), Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034083500","display_name":"Peter Schelkens","orcid":"https://orcid.org/0000-0003-0908-1655"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]},{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Peter Schelkens","raw_affiliation_strings":["IMEC, Leuven, Belgium","Vrije Universiteit Brussel (VUB), Brussels, Belgium"],"raw_orcid":"https://orcid.org/0000-0003-0908-1655","affiliations":[{"raw_affiliation_string":"IMEC, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]},{"raw_affiliation_string":"Vrije Universiteit Brussel (VUB), Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5333,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.8541592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"27","issue":null,"first_page":"1650","last_page":"1654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9984999895095825,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9984999895095825,"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":0.7971118688583374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7240995168685913},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6216185092926025},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6209076046943665},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6126562356948853},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.6042912602424622},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5663082599639893},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.5325899124145508},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4856897294521332},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.45795097947120667},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4532327651977539},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.43225225806236267},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4152107238769531},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3837777376174927},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2839686870574951},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1290191411972046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7971118688583374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7240995168685913},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6216185092926025},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6209076046943665},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6126562356948853},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.6042912602424622},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5663082599639893},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.5325899124145508},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4856897294521332},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45795097947120667},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4532327651977539},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.43225225806236267},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4152107238769531},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3837777376174927},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2839686870574951},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1290191411972046},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2020.3024109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3024109","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1867429401","https://openalex.org/W1964859077","https://openalex.org/W1980911747","https://openalex.org/W1992369558","https://openalex.org/W2003569855","https://openalex.org/W2016416397","https://openalex.org/W2102059872","https://openalex.org/W2118246710","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2147237076","https://openalex.org/W2168087197","https://openalex.org/W2171349048","https://openalex.org/W2270507537","https://openalex.org/W2469841936","https://openalex.org/W2500372252","https://openalex.org/W2707745789","https://openalex.org/W2750983825","https://openalex.org/W2752321620","https://openalex.org/W2752495924","https://openalex.org/W2763588665","https://openalex.org/W2765922777","https://openalex.org/W2769132445","https://openalex.org/W2773932257","https://openalex.org/W2804763951","https://openalex.org/W2897124202","https://openalex.org/W2905870830","https://openalex.org/W2910474860","https://openalex.org/W2913233629","https://openalex.org/W2941841503","https://openalex.org/W2942828508","https://openalex.org/W2948833606","https://openalex.org/W2971315715","https://openalex.org/W4235549259","https://openalex.org/W4299998071","https://openalex.org/W6637400245","https://openalex.org/W6639126518"],"related_works":["https://openalex.org/W2611780867","https://openalex.org/W2731344982","https://openalex.org/W1491099440","https://openalex.org/W2073038808","https://openalex.org/W3010999348","https://openalex.org/W3206964005","https://openalex.org/W4226100462","https://openalex.org/W3035116386","https://openalex.org/W3106568383","https://openalex.org/W2123144113"],"abstract_inverted_index":{"Depth":[0],"Image-Based":[1],"Rendering":[2],"(DIBR)":[3],"is":[4,122,157],"the":[5,28,43,46,52,60,115,129,138,144,147,154],"key":[6],"technique":[7],"in":[8,124,132],"many":[9],"multi-view":[10],"3D":[11],"applications":[12],"to":[13,41,72,113],"synthesize":[14],"virtual":[15],"views":[16,126],"using":[17],"texture":[18],"and":[19,65,110],"depth":[20],"information.":[21],"However,":[22],"DIBR":[23,95],"induces":[24],"distortions":[25,54,64],"that":[26],"disturb":[27],"visual":[29],"quality":[30,35,44,75,120],"of":[31,45,51,59,94,108,146,153],"experience;":[32],"therefore,":[33],"image":[34,133],"assessment":[36],"(IQA)":[37],"methods":[38,69],"are":[39,55],"essential":[40],"evaluate":[42],"synthesized":[47,78,96,111],"views.":[48,79,97],"The":[49],"characteristics":[50],"DIBR-related":[53],"different":[56],"from":[57],"those":[58],"traditional":[61],"video":[62],"coding":[63],"conventional":[66],"objective":[67,90],"IQA":[68],"often":[70],"fail":[71],"provide":[73],"accurate":[74],"predictions":[76],"for":[77,92],"In":[80],"this":[81],"letter,":[82],"we":[83],"proposed":[84,148,155],"a":[85,100],"new":[86],"Full":[87],"Reference":[88],"(FR)":[89],"metric":[91],"evaluation":[93,136],"We":[98],"used":[99],"feature":[101,105],"matching":[102],"method":[103,156],"at":[104,159],"(key)":[106],"points":[107],"reference":[109],"images":[112],"quantify":[114],"local":[116],"differences.":[117],"Moreover,":[118],"global":[119],"loss":[121],"computed":[123],"shift-compensated":[125],"by":[127],"measuring":[128],"gradient":[130],"difference":[131],"superpixels.":[134],"Performance":[135],"on":[137],"three":[139],"public":[140],"data":[141],"sets":[142],"shows":[143],"effectiveness":[145],"model.":[149],"A":[150],"software":[151],"release":[152],"available":[158],"https://gitlab.com/etro/ssdi.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
