{"id":"https://openalex.org/W2337762808","doi":"https://doi.org/10.1109/lsp.2016.2557347","title":"Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion","display_name":"Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion","publication_year":2016,"publication_date":"2016-04-21","ids":{"openalex":"https://openalex.org/W2337762808","doi":"https://doi.org/10.1109/lsp.2016.2557347","mag":"2337762808"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2016.2557347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2557347","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/A5091558139","display_name":"Runmin Cong","orcid":"https://orcid.org/0000-0003-0972-4008"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Runmin Cong","raw_affiliation_strings":["School of Electronic Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081490093","display_name":"Jianjun Lei","orcid":"https://orcid.org/0000-0003-3171-7680"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Lei","raw_affiliation_strings":["School of Electronic Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604573","display_name":"Changqing Zhang","orcid":"https://orcid.org/0000-0003-1410-6650"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changqing Zhang","raw_affiliation_strings":["School of Electronic Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068837264","display_name":"Xiaochun Cao","orcid":"https://orcid.org/0000-0001-7141-708X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochun Cao","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021778113","display_name":"Chunping Hou","orcid":"https://orcid.org/0000-0001-8772-0198"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunping Hou","raw_affiliation_strings":["School of Electronic Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5091558139"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":7.5152,"has_fulltext":false,"cited_by_count":248,"citation_normalized_percentile":{"value":0.98271435,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"23","issue":"6","first_page":"819","last_page":"823"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T11165","display_name":"Image and Video Quality Assessment","score":0.9889000058174133,"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7766807079315186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7130424976348877},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.6492694020271301},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6235564351081848},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5332087874412537},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.5079079270362854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4885040521621704},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4761064946651459},{"id":"https://openalex.org/keywords/kadir\u2013brady-saliency-detector","display_name":"Kadir\u2013Brady saliency detector","score":0.4743025302886963},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.46024268865585327},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4289562702178955},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37661775946617126},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.35826075077056885},{"id":"https://openalex.org/keywords/saliency-map","display_name":"Saliency map","score":0.3440660536289215}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7766807079315186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7130424976348877},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.6492694020271301},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6235564351081848},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5332087874412537},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.5079079270362854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4885040521621704},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4761064946651459},{"id":"https://openalex.org/C202227193","wikidata":"https://www.wikidata.org/wiki/Q6345568","display_name":"Kadir\u2013Brady saliency detector","level":4,"score":0.4743025302886963},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.46024268865585327},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4289562702178955},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37661775946617126},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.35826075077056885},{"id":"https://openalex.org/C2779679900","wikidata":"https://www.wikidata.org/wiki/Q25304431","display_name":"Saliency map","level":3,"score":0.3440660536289215},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2016.2557347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2557347","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":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G3118626630","display_name":null,"funder_award_id":"61271324","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3671608312","display_name":null,"funder_award_id":"91320201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5673975371","display_name":null,"funder_award_id":"61520106002","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W933200379","https://openalex.org/W1543915476","https://openalex.org/W1581590495","https://openalex.org/W1592631677","https://openalex.org/W1897243830","https://openalex.org/W1919681008","https://openalex.org/W1923594904","https://openalex.org/W1976391299","https://openalex.org/W1976409045","https://openalex.org/W1993713494","https://openalex.org/W1997137149","https://openalex.org/W1997900614","https://openalex.org/W2000946514","https://openalex.org/W2006475283","https://openalex.org/W2009203417","https://openalex.org/W2024713411","https://openalex.org/W2025558225","https://openalex.org/W2032382217","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2047636217","https://openalex.org/W2055180303","https://openalex.org/W2066624635","https://openalex.org/W2068044747","https://openalex.org/W2118246710","https://openalex.org/W2118985252","https://openalex.org/W2121378474","https://openalex.org/W2128272608","https://openalex.org/W2131791003","https://openalex.org/W2162903716","https://openalex.org/W2163352848","https://openalex.org/W4239147634","https://openalex.org/W6639624585","https://openalex.org/W6639933128","https://openalex.org/W6640351089","https://openalex.org/W6648922525","https://openalex.org/W6679655593"],"related_works":["https://openalex.org/W2257095280","https://openalex.org/W2074585893","https://openalex.org/W2566445787","https://openalex.org/W1978189035","https://openalex.org/W2050601669","https://openalex.org/W2528149969","https://openalex.org/W1506816029","https://openalex.org/W2161602969","https://openalex.org/W171103548","https://openalex.org/W4200344678"],"abstract_inverted_index":{"Stereoscopic":[0],"perception":[1],"is":[2,41,73,82,99,130],"an":[3],"important":[4],"part":[5],"of":[6,52,62,92,115],"human":[7],"visual":[8],"system":[9],"that":[10,172],"allows":[11],"the":[12,50,60,70,79,104,112,119,173],"brain":[13],"to":[14,48,58,102,110,160],"perceive":[15],"depth.":[16],"However,":[17],"depth":[18,53,64,80,97],"information":[19,81],"has":[20],"not":[21],"been":[22],"well":[23],"explored":[24],"in":[25],"existing":[26],"saliency":[27,35,67,106,117,128,147,154],"detection":[28,36,113],"models.":[29],"In":[30,108],"this":[31],"letter,":[32],"a":[33,46,76,89,152],"novel":[34],"method":[37,158,175],"for":[38],"stereoscopic":[39],"images":[40],"proposed.":[42],"First,":[43],"we":[44],"propose":[45],"measure":[47],"evaluate":[49],"reliability":[51],"map,":[54],"and":[55,78,96,140],"use":[56],"it":[57],"reduce":[59],"influence":[61],"poor":[63],"map":[65,129,155],"on":[66,133,164],"detection.":[68],"Then,":[69],"input":[71],"image":[72],"represented":[74],"as":[75],"graph,":[77],"introduced":[83],"into":[84,151],"graph":[85],"construction.":[86],"After":[87],"that,":[88],"new":[90],"definition":[91],"compactness":[93,105,116],"using":[94],"color":[95],"cues":[98,142],"put":[100],"forward":[101],"compute":[103],"map.":[107],"order":[109],"compensate":[111],"errors":[114],"when":[118],"salient":[120],"regions":[121],"have":[122],"similar":[123],"appearances":[124],"with":[125],"background,":[126],"foreground":[127,135],"calculated":[131],"based":[132],"depth-refined":[134],"seeds'":[136],"selection":[137],"(DRSS)":[138],"mechanism":[139],"multiple":[141],"contrast.":[143],"Finally,":[144],"these":[145],"two":[146,165],"maps":[148],"are":[149],"integrated":[150],"final":[153],"through":[156],"weighted-sum":[157],"according":[159],"their":[161],"importance.":[162],"Experiments":[163],"publicly":[166],"available":[167],"stereo":[168],"data":[169],"sets":[170],"demonstrate":[171],"proposed":[174],"performs":[176],"better":[177],"than":[178],"other":[179],"ten":[180],"state-of-the-art":[181],"approaches.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":39},{"year":2021,"cited_by_count":53},{"year":2020,"cited_by_count":61},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
