{"id":"https://openalex.org/W2810746184","doi":"https://doi.org/10.1109/fskd.2017.8393339","title":"Saliency detection: Multi-level combination approach via graph-based manifold ranking","display_name":"Saliency detection: Multi-level combination approach via graph-based manifold ranking","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2810746184","doi":"https://doi.org/10.1109/fskd.2017.8393339","mag":"2810746184"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8393339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-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/A5100619238","display_name":"Cuiping Li","orcid":"https://orcid.org/0000-0003-0433-0966"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cuiping Li","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065397399","display_name":"Zhenxue Chen","orcid":"https://orcid.org/0000-0001-9637-5170"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenxue Chen","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101798630","display_name":"Chengyun Liu","orcid":"https://orcid.org/0000-0001-5689-3950"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyun Liu","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101927214","display_name":"Di Zhao","orcid":"https://orcid.org/0000-0001-5717-8131"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Zhao","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100619238"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.24433006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":null,"first_page":"604","last_page":"609"},"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":0.9488000273704529,"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":0.9488000273704529,"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/graph","display_name":"Graph","score":0.6443597078323364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6149295568466187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6102579832077026},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5291730761528015},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49959444999694824},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.495519757270813},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4839901924133301},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.45492875576019287},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.43376433849334717},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41513383388519287},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13638648390769958}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6443597078323364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6149295568466187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6102579832077026},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5291730761528015},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49959444999694824},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.495519757270813},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4839901924133301},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.45492875576019287},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.43376433849334717},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41513383388519287},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13638648390769958},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8393339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W21025885","https://openalex.org/W1872412942","https://openalex.org/W1982075130","https://openalex.org/W1996692737","https://openalex.org/W2002781701","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2045775567","https://openalex.org/W2068194118","https://openalex.org/W2081357526","https://openalex.org/W2098702446","https://openalex.org/W2100470808","https://openalex.org/W2117301471","https://openalex.org/W2128272608","https://openalex.org/W2131791003","https://openalex.org/W2135957164","https://openalex.org/W2136790002","https://openalex.org/W2154455818","https://openalex.org/W2156142145","https://openalex.org/W2156777442","https://openalex.org/W2157554677","https://openalex.org/W2166650627","https://openalex.org/W2567978322","https://openalex.org/W4239147634","https://openalex.org/W6600850345","https://openalex.org/W6660241312","https://openalex.org/W6661841397","https://openalex.org/W6674625355","https://openalex.org/W6679655593","https://openalex.org/W6680437723","https://openalex.org/W6682494755","https://openalex.org/W6731638882","https://openalex.org/W6835204325"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W2545348020","https://openalex.org/W4327728159","https://openalex.org/W2912751582","https://openalex.org/W2130893381","https://openalex.org/W1990856605","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0,59,141],"this":[1],"paper,":[2],"we":[3,106,144],"form":[4],"the":[5,19,26,29,41,47,66,76,79,84,101,108,115,125,138,142,149,164,172],"saliency":[6,103,127],"map":[7],"by":[8],"a":[9,120],"multi-level":[10,121],"combination":[11,122],"approach":[12,96],"using":[13,133],"graph-based":[14,31,93],"manifold":[15,32,94],"ranking":[16,33,95],"method":[17,22,34,147],"as":[18],"foundation.":[20],"This":[21],"aims":[23],"to":[24,61,78,99,118,123,155],"overcome":[25],"defects":[27],"that":[28,163],"merely":[30],"can":[35],"not":[36],"do":[37],"well":[38],"in":[39,81],"highlighting":[40],"salient":[42],"objects":[43],"uniformly":[44],"and":[45],"suppressing":[46],"background":[48],"effectively.":[49],"We":[50],"first":[51],"execute":[52],"over-segmentation":[53],"algorithm":[54,136,166],"for":[55,90],"each":[56,91,112],"input":[57,69],"image.":[58],"order":[60],"take":[62],"full":[63],"advantages":[64],"of":[65,83,86,111],"image":[67,70],"cues,":[68],"is":[71,97,131],"segmented":[72,87],"into":[73],"multilevels":[74],"from":[75,114],"coarsest":[77],"finest":[80],"terms":[82],"number":[85],"regions.":[88],"And":[89],"level,":[92],"used":[98],"produce":[100],"initial":[102],"map.":[104,128],"Then":[105],"obtain":[107,124],"optimal":[109],"weight":[110],"level":[113],"trained":[116,132],"combiner":[117,130],"make":[119],"final":[126],"The":[129,159],"quadratic":[134],"programming":[135],"on":[137,177],"MSRA-10K":[139],"database.":[140],"experiment,":[143],"compare":[145],"our":[146],"with":[148,171],"other":[150,173],"eight":[151,174],"state-of-the-art":[152,175],"methods":[153],"according":[154],"four":[156],"evaluation":[157],"criteria.":[158],"experimental":[160],"results":[161],"show":[162],"proposed":[165],"achieves":[167],"favorable":[168],"performance":[169],"compared":[170],"approaches":[176],"different":[178],"databases.":[179]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}