{"id":"https://openalex.org/W2158928731","doi":"https://doi.org/10.1109/lsp.2011.2167752","title":"Visual Conspicuity Index: Spatial Dissimilarity, Distance, and Central Bias","display_name":"Visual Conspicuity Index: Spatial Dissimilarity, Distance, and Central Bias","publication_year":2011,"publication_date":"2011-09-21","ids":{"openalex":"https://openalex.org/W2158928731","doi":"https://doi.org/10.1109/lsp.2011.2167752","mag":"2158928731"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2011.2167752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2011.2167752","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5101029305","display_name":"Li\u2010Juan 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":false,"raw_author_name":"Lijuan Duan","raw_affiliation_strings":["College of Computer Science and Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Beijing University of Technology, Beijing, 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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Beijing University of Technology, Beijing, 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 of Sciences (CAS), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075463806","display_name":"Alan C. Bovik","orcid":"https://orcid.org/0000-0001-6067-710X"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. C. Bovik","raw_affiliation_strings":["Laboratory of Image and Video Engineering, Department of Electrical and Computer Engineering, University of Texas, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Image and Video Engineering, Department of Electrical and Computer Engineering, University of Texas, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3706,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84961611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"18","issue":"11","first_page":"690","last_page":"693"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9995999932289124,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9995999932289124,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9995999932289124,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7666751146316528},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6800875663757324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6553200483322144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6008264422416687},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.561948299407959},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5145513415336609},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.509030818939209},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4340393543243408},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40942370891571045},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.357458233833313}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7666751146316528},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6800875663757324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6553200483322144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6008264422416687},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.561948299407959},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5145513415336609},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.509030818939209},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4340393543243408},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40942370891571045},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.357458233833313},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2011.2167752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2011.2167752","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1510835000","https://openalex.org/W1581676061","https://openalex.org/W1601034129","https://openalex.org/W2039546655","https://openalex.org/W2040253108","https://openalex.org/W2049579898","https://openalex.org/W2092755522","https://openalex.org/W2107055466","https://openalex.org/W2114436453","https://openalex.org/W2116724443","https://openalex.org/W2121179941","https://openalex.org/W2128272608","https://openalex.org/W2135957164","https://openalex.org/W2136339732","https://openalex.org/W2139047169","https://openalex.org/W2139734816","https://openalex.org/W2144764737","https://openalex.org/W2155093451","https://openalex.org/W2157554677","https://openalex.org/W2164898179","https://openalex.org/W2169037956","https://openalex.org/W6676006193","https://openalex.org/W6680437723","https://openalex.org/W6680614221"],"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/W4206560911","https://openalex.org/W4372260270"],"abstract_inverted_index":{"We":[0],"propose":[1],"an":[2],"image":[3,20,56,65,108,133],"conspicuity":[4,91,151],"index":[5,152],"that":[6,47,161],"combines":[7],"three":[8,63],"factors:":[9],"spatial":[10,12,37],"dissimilarity,":[11],"distance":[13,123],"and":[14,31,67,120,146],"central":[15],"bias.":[16],"The":[17,58,75,90,125,143],"dissimilarity":[18],"between":[19,39],"patches":[21],"is":[22,32,45,60,111],"evaluated":[23],"in":[24],"a":[25,68],"reduced":[26],"dimensional":[27],"principal":[28],"component":[29],"space":[30],"inversely":[33],"weighted":[34],"by":[35],"the":[36,49,55,83,87,121,150],"separations":[38],"patches.":[40],"An":[41],"additional":[42],"weighting":[43],"mechanism":[44],"deployed":[46],"reflects":[48],"bias":[50],"of":[51,86,149],"human":[52,98],"fixations":[53,99],"towards":[54],"center.":[57],"method":[59,126],"tested":[61,105],"on":[62,106],"public":[64],"datasets":[66],"video":[69],"clip":[70],"to":[71,154],"evaluate":[72],"its":[73],"performance.":[74],"experimental":[76],"results":[77],"indicate":[78],"highly":[79],"competitive":[80],"performance":[81,145],"despite":[82],"simple":[84],"definition":[85],"proposed":[88],"index.":[89],"maps":[92],"generated":[93],"are":[94],"more":[95,157],"consistent":[96],"with":[97],"than":[100],"prior":[101],"state-of-the-art":[102],"models":[103,159],"when":[104],"color":[107],"datasets.":[109],"This":[110],"demonstrated":[112],"using":[113],"both":[114],"receiver":[115],"operator":[116],"characteristics":[117],"(ROC)":[118],"analysis":[119],"Kullback-Leibler":[122],"metric.":[124],"should":[127],"prove":[128],"useful":[129],"for":[130],"such":[131],"diverse":[132],"processing":[134],"tasks":[135],"as":[136],"quality":[137],"assessment,":[138],"segmentation,":[139],"search,":[140],"or":[141],"compression.":[142],"high":[144],"relative":[147,153],"simplicity":[148],"other":[155],"much":[156],"complex":[158],"suggests":[160],"it":[162],"may":[163],"find":[164],"wide":[165],"usage.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
