{"id":"https://openalex.org/W2342851138","doi":"https://doi.org/10.1109/lsp.2016.2558489","title":"Saliency Detection Via Similar Image Retrieval","display_name":"Saliency Detection Via Similar Image Retrieval","publication_year":2016,"publication_date":"2016-04-28","ids":{"openalex":"https://openalex.org/W2342851138","doi":"https://doi.org/10.1109/lsp.2016.2558489","mag":"2342851138"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2016.2558489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2558489","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/A5056938965","display_name":"Linwei Ye","orcid":"https://orcid.org/0000-0002-7375-452X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linwei Ye","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382312","display_name":"Zhi Liu","orcid":"https://orcid.org/0000-0002-8428-1131"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Liu","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075052648","display_name":"Xiaofei Zhou","orcid":"https://orcid.org/0000-0002-7977-9728"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofei Zhou","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048268082","display_name":"Liquan Shen","orcid":"https://orcid.org/0000-0002-2148-6279"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liquan Shen","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100409994","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-7240-3541"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["Global Data Technologies Centre, School of Computing and Communication, University of Technology, Sydney, N.S.W., Australia"],"affiliations":[{"raw_affiliation_string":"Global Data Technologies Centre, School of Computing and Communication, University of Technology, Sydney, N.S.W., Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056938965"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":1.002,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82405558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"23","issue":"6","first_page":"838","last_page":"842"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9958000183105469,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9574999809265137,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8194884061813354},{"id":"https://openalex.org/keywords/saliency-map","display_name":"Saliency map","score":0.7802297472953796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7556095123291016},{"id":"https://openalex.org/keywords/kadir\u2013brady-saliency-detector","display_name":"Kadir\u2013Brady saliency detector","score":0.636421263217926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5821583867073059},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.576901912689209},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.49240410327911377},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4911031723022461},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.479398250579834},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.46883219480514526},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.462270587682724},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4612376391887665},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.43566611409187317},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42851316928863525},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.42032235860824585}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8194884061813354},{"id":"https://openalex.org/C2779679900","wikidata":"https://www.wikidata.org/wiki/Q25304431","display_name":"Saliency map","level":3,"score":0.7802297472953796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7556095123291016},{"id":"https://openalex.org/C202227193","wikidata":"https://www.wikidata.org/wiki/Q6345568","display_name":"Kadir\u2013Brady saliency detector","level":4,"score":0.636421263217926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5821583867073059},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.576901912689209},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.49240410327911377},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4911031723022461},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.479398250579834},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.46883219480514526},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.462270587682724},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4612376391887665},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.43566611409187317},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42851316928863525},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.42032235860824585},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2016.2558489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2558489","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":[{"id":"https://openalex.org/G3068553857","display_name":null,"funder_award_id":"61171144","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G481276562","display_name":null,"funder_award_id":"61471230","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":35,"referenced_works":["https://openalex.org/W1522318187","https://openalex.org/W1566135517","https://openalex.org/W1876673668","https://openalex.org/W1918837316","https://openalex.org/W1974536722","https://openalex.org/W1986811142","https://openalex.org/W1992992668","https://openalex.org/W1996140089","https://openalex.org/W1996326832","https://openalex.org/W2002781701","https://openalex.org/W2013249243","https://openalex.org/W2023544170","https://openalex.org/W2032007016","https://openalex.org/W2036973297","https://openalex.org/W2037183649","https://openalex.org/W2039313011","https://openalex.org/W2039920533","https://openalex.org/W2043331342","https://openalex.org/W2051949897","https://openalex.org/W2087100776","https://openalex.org/W2104915577","https://openalex.org/W2112553126","https://openalex.org/W2113137767","https://openalex.org/W2118246710","https://openalex.org/W2121927366","https://openalex.org/W2124351162","https://openalex.org/W2130147475","https://openalex.org/W2147659939","https://openalex.org/W2153760331","https://openalex.org/W2161185676","https://openalex.org/W2163352848","https://openalex.org/W2165949176","https://openalex.org/W2169551590","https://openalex.org/W2403333215","https://openalex.org/W4239147634"],"related_works":["https://openalex.org/W2805433183","https://openalex.org/W2001667162","https://openalex.org/W1978345117","https://openalex.org/W2998848029","https://openalex.org/W2921433735","https://openalex.org/W2782976991","https://openalex.org/W2021373074","https://openalex.org/W3140461984","https://openalex.org/W2781926731","https://openalex.org/W2513302492"],"abstract_inverted_index":{"This":[0],"letter":[1],"proposes":[2],"a":[3,32,55,100],"novel":[4],"saliency":[5,10,24,42,66,74,78,114,122,128,146,153],"detection":[6,25,147],"framework":[7],"by":[8,87],"propagating":[9],"of":[11,34,102],"similar":[12,35],"images":[13,36,60],"retrieved":[14,38,70],"from":[15,50,68],"large":[16],"and":[17,46,76,155],"diverse":[18],"Internet":[19,51],"image":[20,52,135],"collections":[21],"to":[22,63,82,105,124],"boost":[23],"performance":[26,148],"effectively.":[27],"For":[28],"the":[29,41,47,65,69,84,89,94,107,112,120,126,139,144,150],"input":[30,98],"image,":[31],"group":[33],"is":[37,61,117],"based":[39],"on":[40,132],"weighted":[43],"color":[44],"histograms":[45],"Gist":[48],"descriptor":[49],"collections.":[53],"Then,":[54],"pixel-level":[56],"correspondence":[57,77],"process":[58],"between":[59],"performed":[62],"guide":[64],"propagation":[67],"images.":[71],"Both":[72],"initial":[73,121],"map":[75,79,123],"are":[80,97],"exploited":[81],"select":[83],"training":[85,95],"samples":[86,96],"using":[88],"graph":[90],"cut-based":[91],"segmentation.":[92],"Finally,":[93],"into":[99],"set":[101],"weak":[103],"classifiers":[104],"learn":[106],"boosted":[108,113],"classifier":[109],"for":[110],"generating":[111],"map,":[115],"which":[116],"integrated":[118],"with":[119],"generate":[125],"final":[127],"map.":[129],"Experimental":[130],"results":[131],"two":[133],"public":[134],"datasets":[136],"demonstrate":[137],"that":[138],"proposed":[140],"model":[141],"can":[142],"achieve":[143],"better":[145],"than":[149],"state-of-the-art":[151],"single-image":[152],"models":[154],"co-saliency":[156],"models.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}