{"id":"https://openalex.org/W2116724443","doi":"https://doi.org/10.1109/cvpr.2011.5995676","title":"Visual saliency detection by spatially weighted dissimilarity","display_name":"Visual saliency detection by spatially weighted dissimilarity","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2116724443","doi":"https://doi.org/10.1109/cvpr.2011.5995676","mag":"2116724443"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2011.5995676","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995676","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","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/A5109012701","display_name":"Lijuan Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lijuan Duan","raw_affiliation_strings":["College of Computer Science and Technology, Beijing University of Technology, Beijing, China","College of Computer Science and Technology, Beijing University of Technology, Beijing, 100124, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"College of Computer Science and Technology, Beijing University of Technology, Beijing, 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048629905","display_name":"Chunpeng Wu","orcid":"https://orcid.org/0000-0002-3970-8570"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunpeng Wu","raw_affiliation_strings":["College of Computer Science and Technology, Beijing University of Technology, Beijing, China","College of Computer Science and Technology, Beijing University of Technology, Beijing, 100124, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"College of Computer Science and Technology, Beijing University of Technology, Beijing, 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100786227","display_name":"Jun Miao","orcid":"https://orcid.org/0000-0003-0344-7871"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Miao","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010557705","display_name":"Laiyun Qing","orcid":"https://orcid.org/0000-0001-9923-5034"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Laiyun Qing","raw_affiliation_strings":["School of Information Science and Engineering, Chinese Academy and Sciences, Beijing, China","School of Information Science and Engineering, Graduate University of the Chinese Academy of Sciences, Beijing 100049, China#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Chinese Academy and Sciences, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Information Science and Engineering, Graduate University of the Chinese Academy of Sciences, Beijing 100049, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014212007","display_name":"Yu Fu","orcid":"https://orcid.org/0000-0002-9795-7807"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yu Fu","raw_affiliation_strings":["Department of Computing, University of Surrey, Guildford, Surrey, UK","[Department of Computing, University of Surrey, Guildford, Surrey, UK GU2 7XH]"],"affiliations":[{"raw_affiliation_string":"Department of Computing, University of Surrey, Guildford, Surrey, UK","institution_ids":["https://openalex.org/I28290843"]},{"raw_affiliation_string":"[Department of Computing, University of Surrey, Guildford, Surrey, UK GU2 7XH]","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5109012701"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":14.132,"has_fulltext":false,"cited_by_count":290,"citation_normalized_percentile":{"value":0.99226991,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"473","last_page":"480"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9925000071525574,"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":0.9872999787330627,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8274027109146118},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7550938725471497},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.692506730556488},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6863884925842285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6222952604293823},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6073127388954163},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5248739123344421},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.48115718364715576},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4663853645324707},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.41360020637512207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37074965238571167}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8274027109146118},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7550938725471497},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.692506730556488},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6863884925842285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6222952604293823},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6073127388954163},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5248739123344421},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.48115718364715576},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4663853645324707},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.41360020637512207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37074965238571167},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2011.5995676","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995676","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","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":32,"referenced_works":["https://openalex.org/W177844970","https://openalex.org/W1510835000","https://openalex.org/W1533072162","https://openalex.org/W1601034129","https://openalex.org/W1699734612","https://openalex.org/W2006201641","https://openalex.org/W2040253108","https://openalex.org/W2100470808","https://openalex.org/W2102544846","https://openalex.org/W2107055466","https://openalex.org/W2114727884","https://openalex.org/W2119228922","https://openalex.org/W2120807798","https://openalex.org/W2125647562","https://openalex.org/W2127014428","https://openalex.org/W2128272608","https://openalex.org/W2135957164","https://openalex.org/W2139047169","https://openalex.org/W2142796031","https://openalex.org/W2145889472","https://openalex.org/W2146103513","https://openalex.org/W2148705846","https://openalex.org/W2149095485","https://openalex.org/W2154780756","https://openalex.org/W2155093451","https://openalex.org/W2157554677","https://openalex.org/W2164716063","https://openalex.org/W2170869852","https://openalex.org/W4245577102","https://openalex.org/W6676006193","https://openalex.org/W6680614221","https://openalex.org/W6685314622"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W1707372784","https://openalex.org/W2096006843"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,65],"new":[4],"visual":[5],"saliency":[6,20,112],"detection":[7,113],"method":[8,87,107,124],"is":[9],"proposed":[10],"based":[11,55],"on":[12,56,129],"the":[13,19,27,36,40,47,57,71,74,84,94,100,103],"spatially":[14],"weighted":[15,54],"dissimilarity.":[16],"We":[17,92],"measured":[18],"by":[21,98],"integrating":[22],"three":[23,116],"elements":[24],"as":[25],"follows:":[26],"dissimilarities":[28,51],"between":[29,43],"image":[30,44,117],"patches,":[31],"which":[32],"were":[33,52],"evaluated":[34],"in":[35,89],"reduced":[37],"dimensional":[38],"space,":[39],"spatial":[41,59],"distance":[42],"patches":[45,101],"and":[46],"central":[48],"bias.":[49],"The":[50,78],"inversely":[53],"corresponding":[58],"distance.":[60],"A":[61],"weighting":[62],"mechanism,":[63],"indicating":[64],"bias":[66],"for":[67],"human":[68,131],"fixations":[69],"to":[70],"center":[72],"of":[73],"image,":[75],"was":[76,83,108],"employed.":[77],"principal":[79,95],"component":[80],"analysis":[81],"(PCA)":[82],"dimension":[85],"reducing":[86],"used":[88],"our":[90,123],"system.":[91],"extracted":[93],"components":[96],"(PCs)":[97],"sampling":[99],"from":[102],"current":[104,126],"image.":[105],"Our":[106],"compared":[109],"with":[110],"four":[111],"approaches":[114],"using":[115],"datasets.":[118],"Experimental":[119],"results":[120],"show":[121],"that":[122],"outperforms":[125],"state-of-the-art":[127],"methods":[128],"predicting":[130],"fixations.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":35},{"year":2018,"cited_by_count":42},{"year":2017,"cited_by_count":36},{"year":2016,"cited_by_count":30},{"year":2015,"cited_by_count":28},{"year":2014,"cited_by_count":20},{"year":2013,"cited_by_count":20},{"year":2012,"cited_by_count":10}],"updated_date":"2026-03-08T06:56:09.383167","created_date":"2025-10-10T00:00:00"}
