{"id":"https://openalex.org/W3002960898","doi":"https://doi.org/10.1109/vcip47243.2019.8965925","title":"Predicting the visual saliency of the people with VIMS","display_name":"Predicting the visual saliency of the people with VIMS","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3002960898","doi":"https://doi.org/10.1109/vcip47243.2019.8965925","mag":"3002960898"},"language":"en","primary_location":{"id":"doi:10.1109/vcip47243.2019.8965925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip47243.2019.8965925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103081040","display_name":"Jiawei Yang","orcid":"https://orcid.org/0000-0001-6201-9231"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Yang","raw_affiliation_strings":["Shanghai Jiao Tong University,Institute of Image Communication and Network Engineering,Shanghai,China","Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Institute of Image Communication and Network Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064168853","display_name":"Guangtao Zhai","orcid":"https://orcid.org/0000-0001-8165-9322"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangtao Zhai","raw_affiliation_strings":["Shanghai Jiao Tong University,Institute of Image Communication and Network Engineering,Shanghai,China","Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Institute of Image Communication and Network Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015291775","display_name":"Huiyu Duan","orcid":"https://orcid.org/0000-0002-6519-4067"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiyu Duan","raw_affiliation_strings":["Shanghai Jiao Tong University,Institute of Image Communication and Network Engineering,Shanghai,China","Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Institute of Image Communication and Network Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9983999729156494,"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":0.9983999729156494,"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/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7444063425064087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6652945876121521},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6364418268203735},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6177630424499512},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5678006410598755},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.5040330290794373},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.483576238155365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4795105755329132},{"id":"https://openalex.org/keywords/omnidirectional-antenna","display_name":"Omnidirectional antenna","score":0.47043320536613464},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.467984676361084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07224258780479431}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7444063425064087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6652945876121521},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6364418268203735},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6177630424499512},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5678006410598755},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.5040330290794373},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.483576238155365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4795105755329132},{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.47043320536613464},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.467984676361084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07224258780479431},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip47243.2019.8965925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip47243.2019.8965925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Visual Communications and Image Processing (VCIP)","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":20,"referenced_works":["https://openalex.org/W635610963","https://openalex.org/W1974499073","https://openalex.org/W2046518024","https://openalex.org/W2145372317","https://openalex.org/W2212216676","https://openalex.org/W2405490709","https://openalex.org/W2405871711","https://openalex.org/W2581936448","https://openalex.org/W2583180462","https://openalex.org/W2729179442","https://openalex.org/W2799653921","https://openalex.org/W2889736754","https://openalex.org/W2890229793","https://openalex.org/W2950631816","https://openalex.org/W2953226097","https://openalex.org/W2963503775","https://openalex.org/W2963828885","https://openalex.org/W3101840568","https://openalex.org/W6732940373","https://openalex.org/W6785125108"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"As":[0],"is":[1,10,56],"known":[2],"to":[3,26],"us,":[4],"visually":[5],"induced":[6],"motion":[7],"sickness":[8],"(VIMS)":[9],"often":[11],"experienced":[12],"in":[13,29],"a":[14,46],"virtual":[15,33],"environment.":[16],"Learning":[17],"the":[18,30,57,70,81,98,106,115],"visual":[19,108],"attention":[20,109],"of":[21,32,59,65,83,110],"people":[22,50,111],"with":[23,51,93,112],"VIMS":[24,52,113,126],"contributes":[25],"related":[27],"research":[28],"field":[31],"reality":[34],"(VR)":[35],"content":[36],"design":[37],"and":[38,69,97,118],"psychology.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43],"first":[44,58,116],"construct":[45],"saliency":[47,90,122],"prediction":[48,91,123],"for":[49,114,125],"(SPPV)":[53],"database,":[54],"which":[55],"its":[60],"kind.":[61],"The":[62],"database":[63],"consists":[64],"80":[66],"omnidirectional":[67],"images":[68],"corresponding":[71],"eye":[72],"tracking":[73],"data":[74],"collected":[75],"from":[76],"30":[77],"individuals.":[78],"We":[79,104],"analyze":[80],"performance":[82],"five":[84],"state-of-the-art":[85],"deep":[86],"neural":[87],"networks":[88,96,100],"(DNN)-based":[89],"algorithms":[92],"their":[94],"original":[95],"fine-tuned":[99],"on":[101],"our":[102],"database.":[103],"predict":[105],"atypical":[107],"time":[117],"obtain":[119],"relatively":[120],"good":[121],"results":[124],"controls":[127],"so":[128],"far.":[129]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
