{"id":"https://openalex.org/W2603340075","doi":"https://doi.org/10.1109/tmm.2017.2689327","title":"Object-Based Visual Saliency via Laplacian Regularized Kernel Regression","display_name":"Object-Based Visual Saliency via Laplacian Regularized Kernel Regression","publication_year":2017,"publication_date":"2017-03-31","ids":{"openalex":"https://openalex.org/W2603340075","doi":"https://doi.org/10.1109/tmm.2017.2689327","mag":"2603340075"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2017.2689327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2017.2689327","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Transactions on Multimedia","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/A5112233442","display_name":"Hao Dou","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Dou","raw_affiliation_strings":["School of Automation, Huazhong University of Science & Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Huazhong University of Science & Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025537645","display_name":"Delie Ming","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Delie Ming","raw_affiliation_strings":["School of Automation, Huazhong University of Science & Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Huazhong University of Science & Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101561407","display_name":"Yang Zhi","orcid":"https://orcid.org/0000-0002-9768-2356"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Yang","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014233468","display_name":"Zhihong Pan","orcid":"https://orcid.org/0000-0003-0866-762X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihong Pan","raw_affiliation_strings":["School of Automation, Huazhong University of Science & Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Huazhong University of Science & Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100606147","display_name":"Yansheng Li","orcid":"https://orcid.org/0000-0001-8203-1246"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansheng Li","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108582091","display_name":"Jinwen Tian","orcid":"https://orcid.org/0000-0001-8506-916X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwen Tian","raw_affiliation_strings":["School of Automation, Huazhong University of Science & Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Huazhong University of Science & Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5112233442"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":1.0161,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.84959951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":"8","first_page":"1718","last_page":"1729"},"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":0.9940000176429749,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9790999889373779,"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/computer-science","display_name":"Computer science","score":0.8215512037277222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7752869725227356},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6603642702102661},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6404274702072144},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.582920253276825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5464221239089966},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49102306365966797},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.472647100687027},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.45609796047210693},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.45535141229629517},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.43605324625968933},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4146322011947632},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13780143857002258}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8215512037277222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7752869725227356},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6603642702102661},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6404274702072144},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.582920253276825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5464221239089966},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49102306365966797},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.472647100687027},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.45609796047210693},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.45535141229629517},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.43605324625968933},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4146322011947632},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13780143857002258},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2017.2689327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2017.2689327","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G4644649068","display_name":null,"funder_award_id":"2042016KF0054","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G570601002","display_name":null,"funder_award_id":"41601352","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8467701454","display_name":null,"funder_award_id":"61371339","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8951308946","display_name":null,"funder_award_id":"2016M590716","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":89,"referenced_works":["https://openalex.org/W21025885","https://openalex.org/W1517086206","https://openalex.org/W1561797649","https://openalex.org/W1772076007","https://openalex.org/W1895838842","https://openalex.org/W1903001680","https://openalex.org/W1910823972","https://openalex.org/W1923594904","https://openalex.org/W1971066121","https://openalex.org/W1974536722","https://openalex.org/W1978904636","https://openalex.org/W1982075130","https://openalex.org/W1985984012","https://openalex.org/W1987794317","https://openalex.org/W1996326832","https://openalex.org/W1999478155","https://openalex.org/W2005900846","https://openalex.org/W2006262236","https://openalex.org/W2019064215","https://openalex.org/W2019966409","https://openalex.org/W2032007016","https://openalex.org/W2039313011","https://openalex.org/W2039920533","https://openalex.org/W2041719651","https://openalex.org/W2046863527","https://openalex.org/W2047670868","https://openalex.org/W2078847044","https://openalex.org/W2086791339","https://openalex.org/W2097308346","https://openalex.org/W2097878628","https://openalex.org/W2098318489","https://openalex.org/W2099244020","https://openalex.org/W2100470808","https://openalex.org/W2104290444","https://openalex.org/W2107517560","https://openalex.org/W2109991658","https://openalex.org/W2122076510","https://openalex.org/W2125647562","https://openalex.org/W2128272608","https://openalex.org/W2128340050","https://openalex.org/W2131791003","https://openalex.org/W2135957164","https://openalex.org/W2135988428","https://openalex.org/W2139047169","https://openalex.org/W2140408177","https://openalex.org/W2140654078","https://openalex.org/W2141088152","https://openalex.org/W2143237238","https://openalex.org/W2146103513","https://openalex.org/W2154455818","https://openalex.org/W2155080527","https://openalex.org/W2159133800","https://openalex.org/W2161185676","https://openalex.org/W2161469100","https://openalex.org/W2164084182","https://openalex.org/W2166650627","https://openalex.org/W2170600821","https://openalex.org/W2171378720","https://openalex.org/W2172128189","https://openalex.org/W2201780148","https://openalex.org/W2211996548","https://openalex.org/W2241460726","https://openalex.org/W2282640221","https://openalex.org/W2293332611","https://openalex.org/W2293983962","https://openalex.org/W2294182682","https://openalex.org/W2336850099","https://openalex.org/W2461475918","https://openalex.org/W2486722903","https://openalex.org/W2499656830","https://openalex.org/W2963299740","https://openalex.org/W2997701990","https://openalex.org/W3098389804","https://openalex.org/W3104979525","https://openalex.org/W4206419526","https://openalex.org/W4235667863","https://openalex.org/W4239147634","https://openalex.org/W4256003687","https://openalex.org/W6630781460","https://openalex.org/W6640351089","https://openalex.org/W6675747103","https://openalex.org/W6679655593","https://openalex.org/W6680437723","https://openalex.org/W6680614221","https://openalex.org/W6680914561","https://openalex.org/W6681202030","https://openalex.org/W6682494755","https://openalex.org/W6731893770","https://openalex.org/W6784647857"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W3123087812","https://openalex.org/W2063076820"],"abstract_inverted_index":{"Saliency":[0],"object":[1,52,89],"detection":[2,53],"has":[3],"been":[4],"a":[5,42,93,143],"very":[6],"active":[7],"research":[8],"topic":[9],"recently,":[10],"due":[11],"to":[12,82,91,107,119],"its":[13],"extensive":[14],"applications":[15],"in":[16,158],"image":[17,21,45],"compression,":[18],"scene":[19],"understanding,":[20],"retrieval,":[22],"and":[23,47,61,124],"so":[24],"forth.":[25],"The":[26,112],"overwhelming":[27],"majority":[28],"of":[29,44,73,88,127,135],"existing":[30],"computational":[31,95],"models":[32],"are":[33],"designed":[34],"based":[35],"on":[36],"computer":[37],"vision":[38],"techniques":[39],"by":[40,78],"using":[41],"lot":[43],"cues":[46],"priors.":[48],"In":[49],"fact,":[50],"salient":[51],"is":[54,105,117],"derived":[55],"from":[56,70],"the":[57,66,71,74,84,109,128,161],"biological":[58,62],"perceptual":[59],"mechanism,":[60],"evidence":[63],"shows":[64],"that":[65,151],"object-based":[67,145],"saliency":[68,146],"stems":[69],"spread":[72,86,110],"spatial":[75,136],"attention.":[76],"Inspired":[77],"this,":[79],"we":[80],"attempt":[81],"utilize":[83],"emerging":[85],"mechanism":[87],"attention":[90,137],"construct":[92],"new":[94],"model.":[96],"A":[97],"novel":[98],"Laplacian":[99],"regularized":[100],"kernel":[101],"regression":[102],"diffusion":[103,114],"model":[104],"proposed":[106,113],"fulfill":[108],"process.":[111],"model,":[115],"which":[116],"able":[118],"fully":[120],"capture":[121],"both":[122],"global":[123],"local":[125],"structures":[126],"image,":[129],"thereby":[130],"allows":[131],"for":[132],"effective":[133],"propagation":[134],"with":[138,160],"visual":[139],"grouping":[140],"cues,":[141],"yielding":[142],"well-structured":[144],"map.":[147],"Experimental":[148],"results":[149],"demonstrate":[150],"our":[152],"method":[153],"can":[154],"achieve":[155],"encouraging":[156],"performance":[157],"comparison":[159],"state-of-the-art":[162],"methods.":[163]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}
