{"id":"https://openalex.org/W2793274324","doi":"https://doi.org/10.1109/access.2018.2797880","title":"Saliency Detection Method Using Hypergraphs on Adaptive Multiscales","display_name":"Saliency Detection Method Using Hypergraphs on Adaptive Multiscales","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2793274324","doi":"https://doi.org/10.1109/access.2018.2797880","mag":"2793274324"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2797880","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2797880","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2797880","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008538297","display_name":"Feilin Han","orcid":"https://orcid.org/0000-0001-7463-2252"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feilin Han","raw_affiliation_strings":["Zhejiang University, Hangzhou, Zhejiang, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, CN","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028603044","display_name":"Aili Han","orcid":"https://orcid.org/0000-0002-9935-6466"},"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":"Aili Han","raw_affiliation_strings":["Shandong University, Jinan, Shandong, CN"],"raw_orcid":"https://orcid.org/0000-0002-9935-6466","affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, Shandong, CN","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101751546","display_name":"Jing Hao","orcid":"https://orcid.org/0000-0002-2305-1201"},"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":"Jing Hao","raw_affiliation_strings":["Shandong University, Jinan, Shandong, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, Shandong, CN","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3121,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.60014004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"29444","last_page":"29451"},"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":0.9922999739646912,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6546858549118042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6199214458465576},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6174222826957703},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5682297945022583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5566419959068298},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5339345335960388},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5323147177696228},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5009467601776123},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.43203556537628174},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3734368085861206},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3476119637489319}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6546858549118042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6199214458465576},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6174222826957703},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5682297945022583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5566419959068298},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5339345335960388},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5323147177696228},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5009467601776123},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43203556537628174},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3734368085861206},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3476119637489319},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2797880","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2797880","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0ce39173b63941b69de0b3415377b793","is_oa":true,"landing_page_url":"https://doaj.org/article/0ce39173b63941b69de0b3415377b793","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 29444-29451 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2797880","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2797880","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7774184955","display_name":null,"funder_award_id":"ZR2016FM20","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1964780534","https://openalex.org/W1965301399","https://openalex.org/W2034768355","https://openalex.org/W2037954058","https://openalex.org/W2044113068","https://openalex.org/W2068194118","https://openalex.org/W2078132377","https://openalex.org/W2100470808","https://openalex.org/W2102609094","https://openalex.org/W2106002819","https://openalex.org/W2118246710","https://openalex.org/W2122465129","https://openalex.org/W2125378844","https://openalex.org/W2128272608","https://openalex.org/W2135957164","https://openalex.org/W2137110664","https://openalex.org/W2145227859","https://openalex.org/W2152233525","https://openalex.org/W2156777442","https://openalex.org/W2296035993","https://openalex.org/W2538394767","https://openalex.org/W2736675202","https://openalex.org/W2756833625","https://openalex.org/W2963996300","https://openalex.org/W2964172523","https://openalex.org/W4239147634","https://openalex.org/W6675964612","https://openalex.org/W6680437723"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2329500892","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W2380243858"],"abstract_inverted_index":{"Saliency":[0],"detection":[1,20],"plays":[2],"an":[3,17,49],"important":[4],"role":[5],"in":[6,38,48,78,138],"the":[7,34,54,62,68,86,104,121,127,132,143],"fields":[8],"of":[9,24,36,64,85,115,134,148],"image":[10,51,69],"processing":[11],"and":[12,52,98],"computer":[13],"vision.":[14],"We":[15],"present":[16],"improved":[18,131],"saliency":[19],"method":[21,92,129],"by":[22,83],"means":[23,84],"hypergraphs":[25,74,97,108],"on":[26,75,111,120],"adaptive":[27,59,76,112],"multi-scales":[28,113],"(HAM).":[29],"It":[30],"first":[31],"adjusts":[32],"adaptively":[33],"ranges":[35,56,147],"pixel-values":[37],"<inline-formula":[39],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[40],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[41],"<tex-math":[42],"notation=\"LaTeX\">${R},":[43],"{G},":[44],"{B}$":[45],"</tex-math></inline-formula>":[46],"channels":[47],"input":[50,139],"uses":[53],"three":[55],"to":[57],"determine":[58],"scales":[60,77],"for":[61,142],"construction":[63],"hypergraphs.":[65],"And":[66],"then,":[67],"is":[70],"modeled":[71],"as":[72],"multiple":[73],"which":[79],"hyper-edges":[80],"are":[81,109],"clustered":[82],"agglomerative":[87],"mean-shift":[88],"method.":[89],"The":[90],"HAM":[91,128],"can":[93],"get":[94],"more":[95],"single-scale":[96],"thus":[99],"has":[100,130],"higher":[101],"accuracy":[102],"than":[103],"previous":[105],"ones":[106],"because":[107],"constructed":[110],"instead":[114],"fixed":[116],"scales.":[117],"Extensive":[118],"experiments":[119],"published":[122],"benchmark":[123],"datasets":[124],"demonstrate":[125],"that":[126],"performance":[133],"detecting":[135],"salient":[136],"objects":[137],"images,":[140],"especially":[141],"images":[144],"with":[145],"narrow":[146],"pixel-values.":[149]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
