{"id":"https://openalex.org/W2515921417","doi":"https://doi.org/10.2352/issn.2470-1173.2016.13.iqsp-211","title":"Using binocular and monocular properties for the construction of a quality assessment metric for stereoscopic images","display_name":"Using binocular and monocular properties for the construction of a quality assessment metric for stereoscopic images","publication_year":2016,"publication_date":"2016-02-14","ids":{"openalex":"https://openalex.org/W2515921417","doi":"https://doi.org/10.2352/issn.2470-1173.2016.13.iqsp-211","mag":"2515921417"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2016.13.iqsp-211","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.13.iqsp-211","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","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/A5052099761","display_name":"Iana Iatsun","orcid":null},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]},{"id":"https://openalex.org/I4210093397","display_name":"XLIM","ror":"https://ror.org/00f7srh09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I32881790","https://openalex.org/I4210093397","https://openalex.org/I4210095849","https://openalex.org/I65806277"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Iana Iatsun","raw_affiliation_strings":["Universit\u00e9 de Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)","XLIM-ASALI - Synth\u00e8se et analyse d'images (XLIM - 123, avenue Albert Thomas - 87060 LIMOGES CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)","institution_ids":["https://openalex.org/I32881790"]},{"raw_affiliation_string":"XLIM-ASALI - Synth\u00e8se et analyse d'images (XLIM - 123, avenue Albert Thomas - 87060 LIMOGES CEDEX - France)","institution_ids":["https://openalex.org/I4210093397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024090300","display_name":"Mohamed\u2013Chaker Larabi","orcid":"https://orcid.org/0000-0003-4511-5381"},"institutions":[{"id":"https://openalex.org/I4210093397","display_name":"XLIM","ror":"https://ror.org/00f7srh09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I32881790","https://openalex.org/I4210093397","https://openalex.org/I4210095849","https://openalex.org/I65806277"]},{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohamed-Chaker Larabi","raw_affiliation_strings":["XLIM-ASALI - Synth\u00e8se et analyse d'images (XLIM - 123, avenue Albert Thomas - 87060 LIMOGES CEDEX - France)","Universit\u00e9 de Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)"],"affiliations":[{"raw_affiliation_string":"XLIM-ASALI - Synth\u00e8se et analyse d'images (XLIM - 123, avenue Albert Thomas - 87060 LIMOGES CEDEX - France)","institution_ids":["https://openalex.org/I4210093397"]},{"raw_affiliation_string":"Universit\u00e9 de Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)","institution_ids":["https://openalex.org/I32881790"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113834159","display_name":"Christine Fern\u00e1ndez-Maloigne","orcid":null},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]},{"id":"https://openalex.org/I4210093397","display_name":"XLIM","ror":"https://ror.org/00f7srh09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I32881790","https://openalex.org/I4210093397","https://openalex.org/I4210095849","https://openalex.org/I65806277"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christine Fernandez-Maloigne","raw_affiliation_strings":["Universit\u00e9 de Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)","XLIM-ASALI - Synth\u00e8se et analyse d'images (XLIM - 123, avenue Albert Thomas - 87060 LIMOGES CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Poitiers (15, rue de l'H\u00f4tel Dieu - 86034 Poitiers Cedex - France)","institution_ids":["https://openalex.org/I32881790"]},{"raw_affiliation_string":"XLIM-ASALI - Synth\u00e8se et analyse d'images (XLIM - 123, avenue Albert Thomas - 87060 LIMOGES CEDEX - France)","institution_ids":["https://openalex.org/I4210093397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052099761"],"corresponding_institution_ids":["https://openalex.org/I32881790","https://openalex.org/I4210093397"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08240052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":"13","first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T11165","display_name":"Image and Video Quality Assessment","score":0.9936000108718872,"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":0.9900000095367432,"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/stereoscopy","display_name":"Stereoscopy","score":0.835369348526001},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7696062326431274},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7526911497116089},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.7214924097061157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6851499080657959},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6568020582199097},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5762730240821838},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5414124131202698},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.5273279547691345},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.44180941581726074}],"concepts":[{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.835369348526001},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7696062326431274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7526911497116089},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.7214924097061157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6851499080657959},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6568020582199097},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5762730240821838},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5414124131202698},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.5273279547691345},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.44180941581726074},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2016.13.iqsp-211","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.13.iqsp-211","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2074216034","https://openalex.org/W2257095280","https://openalex.org/W2074585893","https://openalex.org/W2073100926","https://openalex.org/W2100767936","https://openalex.org/W2566445787","https://openalex.org/W1978189035","https://openalex.org/W1976277412","https://openalex.org/W2785517206","https://openalex.org/W4213085014"],"abstract_inverted_index":{"More":[0],"and":[1,31,131,173,186],"more":[2],"people":[3],"are":[4,81,189],"getting":[5],"access":[6],"to":[7,20,27,48,72,128,133,191],"3D;":[8],"3D-TV":[9],"is":[10,46,125,141,152,160],"a":[11,50,89,93,138],"next":[12],"expecting":[13],"step":[14],"in":[15],"telecommunication.":[16],"Before":[17],"being":[18],"presented":[19],"the":[21,38,41,54,57,67,79,100,108,111,129,134,144,156,163,169,182,192],"public,":[22],"any":[23],"3D":[24,76],"content":[25],"has":[26,178],"be":[28,73,117],"coded,":[29],"compressed":[30],"transmitted.":[32],"All":[33],"these":[34],"treatments":[35],"can":[36,116],"impact":[37],"quality":[39,58,70,94,121],"of":[40,56,59,96,102,107,113,122],"final":[42],"product,":[43],"thus":[44],"it":[45],"essential":[47],"have":[49,64],"measurement":[51],"tool":[52],"for":[53,92],"estimation":[55],"stereoscopic":[60,97],"content.":[61],"Several":[62],"studies":[63],"already":[65],"modified":[66],"existing":[68],"2D":[69],"metrics":[71],"able":[74],"evaluate":[75],"images,":[77],"however":[78],"results":[80,188],"not":[82],"satisfying.":[83],"In":[84],"this":[85],"work,":[86],"we":[87],"propose":[88],"full-reference":[90],"metric":[91,109,136,177],"assessment":[95],"images":[98],"employing":[99],"properties":[101],"binocular":[103,145],"perception.":[104],"The":[105,120,148,176],"principle":[106],"estimates":[110],"probability":[112],"fusion,":[114],"that":[115,140],"obtained":[118],"perceptually.":[119],"one":[123],"view":[124],"assessed":[126],"relatively":[127],"other,":[130],"according":[132],"result":[135],"makes":[137],"decision,":[139],"based":[142,167],"on":[143,155,168,181],"fusion":[146],"properties.":[147],"comparison":[149],"between":[150],"views":[151],"performed":[153],"only":[154],"salient":[157],"area.":[158],"It":[159],"detected":[161],"using":[162],"visual":[164],"attention":[165],"model":[166],"monocular":[170],"depth":[171],"cues":[172],"interest":[174],"points.":[175],"been":[179],"tested":[180],"publicly":[183],"available":[184],"dataset,":[185],"its":[187],"coherent":[190],"subjective":[193],"scores.":[194]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}