{"id":"https://openalex.org/W2883090708","doi":"https://doi.org/10.1007/s11045-018-0610-4","title":"Visual saliency detection using iterative outlier cluster elimination","display_name":"Visual saliency detection using iterative outlier cluster elimination","publication_year":2018,"publication_date":"2018-07-24","ids":{"openalex":"https://openalex.org/W2883090708","doi":"https://doi.org/10.1007/s11045-018-0610-4","mag":"2883090708"},"language":"en","primary_location":{"id":"doi:10.1007/s11045-018-0610-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11045-018-0610-4","pdf_url":null,"source":{"id":"https://openalex.org/S198285748","display_name":"Multidimensional Systems and Signal Processing","issn_l":"0923-6082","issn":["0923-6082","1573-0824"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multidimensional Systems and Signal Processing","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/A5025445526","display_name":"Kanghan Oh","orcid":"https://orcid.org/0000-0002-8897-3071"},"institutions":[{"id":"https://openalex.org/I80611190","display_name":"Jeonbuk National University","ror":"https://ror.org/05q92br09","country_code":"KR","type":"education","lineage":["https://openalex.org/I80611190"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kang-Han Oh","raw_affiliation_strings":["Division of Computer Science and Engineering, Chonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju, 54896, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Computer Science and Engineering, Chonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju, 54896, Korea","institution_ids":["https://openalex.org/I80611190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102014617","display_name":"Il-Seok Oh","orcid":"https://orcid.org/0000-0002-8823-0438"},"institutions":[{"id":"https://openalex.org/I80611190","display_name":"Jeonbuk National University","ror":"https://ror.org/05q92br09","country_code":"KR","type":"education","lineage":["https://openalex.org/I80611190"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Il-Seok Oh","raw_affiliation_strings":["Division of Computer Science and Engineering, Chonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju, 54896, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Computer Science and Engineering, Chonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju, 54896, Korea","institution_ids":["https://openalex.org/I80611190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102014617"],"corresponding_institution_ids":["https://openalex.org/I80611190"],"apc_list":null,"apc_paid":null,"fwci":0.106,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44518326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"30","issue":"3","first_page":"1395","last_page":"1411"},"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":0.98580002784729,"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":0.9645000100135803,"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/computer-science","display_name":"Computer science","score":0.748572051525116},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6978743672370911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.661909818649292},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6534921526908875},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6303461194038391},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6217014789581299},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5723187327384949},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5657474398612976},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5476325154304504},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5288059711456299},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4468190371990204},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4298703670501709},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3500860929489136},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25678902864456177}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.748572051525116},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6978743672370911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.661909818649292},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6534921526908875},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6303461194038391},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6217014789581299},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5723187327384949},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5657474398612976},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5476325154304504},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5288059711456299},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4468190371990204},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4298703670501709},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3500860929489136},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25678902864456177},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11045-018-0610-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11045-018-0610-4","pdf_url":null,"source":{"id":"https://openalex.org/S198285748","display_name":"Multidimensional Systems and Signal Processing","issn_l":"0923-6082","issn":["0923-6082","1573-0824"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multidimensional Systems and Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W625543958","https://openalex.org/W1482242411","https://openalex.org/W1772076007","https://openalex.org/W1948843088","https://openalex.org/W1982075130","https://openalex.org/W1989682464","https://openalex.org/W2006180404","https://openalex.org/W2018057603","https://openalex.org/W2020236530","https://openalex.org/W2037954058","https://openalex.org/W2047670868","https://openalex.org/W2056238658","https://openalex.org/W2065985528","https://openalex.org/W2066624635","https://openalex.org/W2067191022","https://openalex.org/W2100470808","https://openalex.org/W2117301471","https://openalex.org/W2118108312","https://openalex.org/W2118246710","https://openalex.org/W2128715914","https://openalex.org/W2147347517","https://openalex.org/W2158104279","https://openalex.org/W2164084182","https://openalex.org/W2270657321","https://openalex.org/W2293332611","https://openalex.org/W2294182682","https://openalex.org/W2470270897","https://openalex.org/W2495585794","https://openalex.org/W2503931548","https://openalex.org/W2571189794","https://openalex.org/W2577387050","https://openalex.org/W3103757879","https://openalex.org/W3104979525","https://openalex.org/W4238717354","https://openalex.org/W4239147634","https://openalex.org/W6628667755"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W4283314094","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}