{"id":"https://openalex.org/W2047636217","doi":"https://doi.org/10.1109/lsp.2015.2399621","title":"Structured Saliency Fusion Based on Dempster\u2013Shafer Theory","display_name":"Structured Saliency Fusion Based on Dempster\u2013Shafer Theory","publication_year":2015,"publication_date":"2015-02-03","ids":{"openalex":"https://openalex.org/W2047636217","doi":"https://doi.org/10.1109/lsp.2015.2399621","mag":"2047636217"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2015.2399621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2015.2399621","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/A5079657274","display_name":"Xingxing Wei","orcid":"https://orcid.org/0000-0002-0778-8377"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xingxing Wei","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China","School of Computer Science and Technology,Tianjin University,Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology,Tianjin University,Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021486404","display_name":"Zhiqiang Tao","orcid":"https://orcid.org/0000-0002-5639-7540"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiqiang Tao","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China","School of Computer Science and Technology,Tianjin University,Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology,Tianjin University,Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604573","display_name":"Changqing Zhang","orcid":"https://orcid.org/0000-0003-1410-6650"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Changqing Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China","School of Computer Science and Technology,Tianjin University,Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology,Tianjin University,Tianjin, China","institution_ids":[]}]},{"author_position":"last","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":"government","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":["Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China","Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.845,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.91953688,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"22","issue":"9","first_page":"1345","last_page":"1349"},"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9940999746322632,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9858999848365784,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7331741452217102},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7259925007820129},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7230316400527954},{"id":"https://openalex.org/keywords/dempster\u2013shafer-theory","display_name":"Dempster\u2013Shafer theory","score":0.7072980999946594},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6095795631408691},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.605602502822876},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6041804552078247},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5580859184265137},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5405333042144775},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.5328068733215332},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5237179398536682},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5234448313713074},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.46010151505470276},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.45574498176574707},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4097837209701538},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30733203887939453},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.2730385661125183}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7331741452217102},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7259925007820129},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7230316400527954},{"id":"https://openalex.org/C178011137","wikidata":"https://www.wikidata.org/wiki/Q285997","display_name":"Dempster\u2013Shafer theory","level":2,"score":0.7072980999946594},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6095795631408691},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.605602502822876},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6041804552078247},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5580859184265137},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5405333042144775},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.5328068733215332},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5237179398536682},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5234448313713074},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.46010151505470276},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.45574498176574707},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4097837209701538},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30733203887939453},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2730385661125183},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C103038307","wikidata":"https://www.wikidata.org/wiki/Q6556360","display_name":"Lipid bilayer fusion","level":3,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2015.2399621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2015.2399621","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":[{"score":0.7300000190734863,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1981228217","https://openalex.org/W1982075130","https://openalex.org/W1992992668","https://openalex.org/W1993117771","https://openalex.org/W1996326832","https://openalex.org/W2006180404","https://openalex.org/W2037954058","https://openalex.org/W2100470808","https://openalex.org/W2117079761","https://openalex.org/W2118246710","https://openalex.org/W2121042048","https://openalex.org/W2127707449","https://openalex.org/W2128272608","https://openalex.org/W2128340050","https://openalex.org/W2135957164","https://openalex.org/W2146103513","https://openalex.org/W2152233525","https://openalex.org/W2155599600","https://openalex.org/W2157554677","https://openalex.org/W2406470551","https://openalex.org/W2546160422","https://openalex.org/W2567978322","https://openalex.org/W6648446881","https://openalex.org/W6731638882"],"related_works":["https://openalex.org/W1494981048","https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W2953038261","https://openalex.org/W2085259108","https://openalex.org/W3041320102","https://openalex.org/W2111669074"],"abstract_inverted_index":{"Visual":[0],"saliency":[1,15,40,53,85,97,123],"has":[2,69],"been":[3,70],"widely":[4],"used":[5],"in":[6],"many":[7],"applications.":[8],"However,":[9],"the":[10,20,37,58,84,93,101,105,118,127,138,148],"performance":[11,38],"of":[12,39,113,130,152],"an":[13,47],"individual":[14],"detection":[16],"method":[17,74],"varies":[18],"with":[19,62],"different":[21],"images.":[22],"Integrating":[23],"multiple":[24],"methods":[25,98],"together":[26],"could":[27],"compensate":[28],"this":[29,43],"shortcoming,":[30],"and":[31,68,122,150],"thus":[32],"is":[33,134],"expected":[34],"to":[35,64,99,137],"improve":[36],"detection.":[41],"In":[42],"paper,":[44],"we":[45],"present":[46],"unsupervised":[48],"Dempster\u2013Shafer":[49],"Theory":[50],"(DST)":[51],"based":[52],"fusion":[54,86,102,128,139],"framework.":[55,154],"DST":[56],"simulates":[57],"similar":[59],"reasoning":[60],"logic":[61],"humans":[63],"make":[65],"decision":[66],"analysis,":[67],"proved":[71],"a":[72,88,111],"suitable":[73],"for":[75],"data":[76],"fusion.":[77],"Inspired":[78],"by":[79],"this,":[80],"our":[81,153],"framework":[82,107],"formalizes":[83],"as":[87],"statistics":[89],"inference":[90],"process,":[91],"considering":[92],"results":[94,142],"from":[95],"several":[96],"accomplish":[100],"task.":[103],"Furthermore,":[104],"proposed":[106],"can":[108],"flexibly":[109],"incorporate":[110],"variety":[112],"inherent":[114],"structured":[115],"priors":[116],"within":[117],"images":[119],"(e.g.,":[120],"clusters":[121],"voting)":[124],"when":[125],"leveraging":[126],"rule":[129],"DST.":[131],"Therefore,":[132],"it":[133],"more":[135],"close":[136],"mechanism.":[140],"Experimental":[141],"on":[143],"two":[144],"benchmark":[145],"datasets":[146],"demonstrate":[147],"effectiveness":[149],"robustness":[151]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
