{"id":"https://openalex.org/W2293368487","doi":"https://doi.org/10.1109/wacv.2016.7477612","title":"Fixation prediction with a combined model of bottom-up saliency and vanishing point","display_name":"Fixation prediction with a combined model of bottom-up saliency and vanishing point","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2293368487","doi":"https://doi.org/10.1109/wacv.2016.7477612","mag":"2293368487"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2016.7477612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2016.7477612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/scopus2015/4068","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008431521","display_name":"Mengyang Feng","orcid":"https://orcid.org/0000-0002-7112-4655"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengyang Feng","raw_affiliation_strings":["Department of Electrical Engineering, Dalian University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068743986","display_name":"Ali Borji","orcid":"https://orcid.org/0000-0001-8198-0335"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Borji","raw_affiliation_strings":["Center for Research in Computer Vision, University of Central Florida, Orlando, USA"],"affiliations":[{"raw_affiliation_string":"Center for Research in Computer Vision, University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006986293","display_name":"Huchuan Lu","orcid":"https://orcid.org/0000-0002-6668-9758"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huchuan Lu","raw_affiliation_strings":["Department of Electrical Engineering, Dalian University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008431521"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":1.1826,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84688546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"7"},"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.993399977684021,"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/gaze","display_name":"Gaze","score":0.844291090965271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6842864751815796},{"id":"https://openalex.org/keywords/fixation","display_name":"Fixation (population genetics)","score":0.6720614433288574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6648924946784973},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5562908053398132},{"id":"https://openalex.org/keywords/vanishing-point","display_name":"Vanishing point","score":0.5420755743980408},{"id":"https://openalex.org/keywords/fixation-point","display_name":"Fixation point","score":0.4785264730453491},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.47262808680534363},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45813918113708496},{"id":"https://openalex.org/keywords/computational-model","display_name":"Computational model","score":0.42314398288726807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37452080845832825},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31235671043395996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19864752888679504}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.844291090965271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6842864751815796},{"id":"https://openalex.org/C146249460","wikidata":"https://www.wikidata.org/wiki/Q2914991","display_name":"Fixation (population genetics)","level":3,"score":0.6720614433288574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6648924946784973},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5562908053398132},{"id":"https://openalex.org/C99404194","wikidata":"https://www.wikidata.org/wiki/Q163362","display_name":"Vanishing point","level":3,"score":0.5420755743980408},{"id":"https://openalex.org/C2984933120","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Fixation point","level":2,"score":0.4785264730453491},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.47262808680534363},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45813918113708496},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.42314398288726807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37452080845832825},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31235671043395996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19864752888679504},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wacv.2016.7477612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2016.7477612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2015-5067","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2015/4068","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2015-2019","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:scopus2015-5067","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2015/4068","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2015-2019","raw_type":"text"},"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1497599070","https://openalex.org/W1510835000","https://openalex.org/W1517086206","https://openalex.org/W1785085542","https://openalex.org/W1963864613","https://openalex.org/W1969258103","https://openalex.org/W1991857366","https://openalex.org/W1994463521","https://openalex.org/W2001813842","https://openalex.org/W2006486802","https://openalex.org/W2020755048","https://openalex.org/W2032007016","https://openalex.org/W2039313011","https://openalex.org/W2050531974","https://openalex.org/W2055111849","https://openalex.org/W2061376149","https://openalex.org/W2106848651","https://openalex.org/W2112796928","https://openalex.org/W2115448105","https://openalex.org/W2119228922","https://openalex.org/W2119823327","https://openalex.org/W2128272608","https://openalex.org/W2133102330","https://openalex.org/W2135957164","https://openalex.org/W2138046011","https://openalex.org/W2139047169","https://openalex.org/W2139963302","https://openalex.org/W2146103513","https://openalex.org/W2149095485","https://openalex.org/W2164084182","https://openalex.org/W2169561119","https://openalex.org/W4211165038","https://openalex.org/W6630781460","https://openalex.org/W6649047915","https://openalex.org/W6679855945","https://openalex.org/W6680437723","https://openalex.org/W6680614221","https://openalex.org/W6684745935"],"related_works":["https://openalex.org/W1964912911","https://openalex.org/W2313422664","https://openalex.org/W1968870947","https://openalex.org/W4298271038","https://openalex.org/W2463875147","https://openalex.org/W2012318778","https://openalex.org/W2014316916","https://openalex.org/W312586140","https://openalex.org/W1985001984","https://openalex.org/W233682166"],"abstract_inverted_index":{"By":[0],"predicting":[1],"where":[2],"humans":[3],"look":[4],"in":[5],"natural":[6,15],"scenes,":[7],"we":[8,70],"can":[9],"understand":[10],"how":[11],"they":[12],"perceive":[13],"complex":[14],"scenes":[16],"and":[17,43,87,125,130],"prioritize":[18],"information":[19],"for":[20,30,54],"further":[21],"high-level":[22],"visual":[23],"processing.":[24],"Several":[25],"models":[26,42,53,141],"have":[27,49,59,113],"been":[28,60],"proposed":[29],"this":[31],"purpose,":[32],"yet":[33],"there":[34],"is":[35,92],"a":[36,75,119,126],"gap":[37],"between":[38],"best":[39],"existing":[40],"saliency":[41,124,140],"human":[44,90],"performance.":[45],"While":[46],"many":[47],"researchers":[48],"developed":[50],"purely":[51],"computational":[52],"fixation":[55],"prediction,":[56],"less":[57],"attempts":[58],"made":[61],"to":[62,94],"discover":[63],"cognitive":[64],"factors":[65],"that":[66,89,132],"guide":[67],"gaze.":[68],"Here,":[69],"study":[71],"the":[72,84,95,138],"effect":[73],"of":[74,78,103,110,122,137],"particular":[76],"type":[77],"scene":[79],"structural":[80],"information,":[81],"known":[82],"as":[83],"vanishing":[85,96,114,127],"point,":[86],"show":[88,131],"gaze":[91],"attracted":[93],"point":[97,128],"regions.":[98],"We":[99,116],"record":[100],"eye":[101],"movements":[102],"10":[104],"observers":[105],"over":[106],"532":[107],"images,":[108],"out":[109],"which":[111],"319":[112],"points.":[115],"then":[117],"construct":[118],"combined":[120],"model":[121,134],"traditional":[123],"channel":[129],"our":[133,146],"outperforms":[135],"state":[136],"art":[139],"using":[142],"three":[143],"scores":[144],"on":[145],"dataset.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}