{"id":"https://openalex.org/W2890416589","doi":"https://doi.org/10.1109/icip.2018.8451835","title":"Billboard Saliency Detection in Street Videos for Adults and Elderly","display_name":"Billboard Saliency Detection in Street Videos for Adults and Elderly","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2890416589","doi":"https://doi.org/10.1109/icip.2018.8451835","mag":"2890416589"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5091298991","display_name":"Onkar Krishna","orcid":"https://orcid.org/0000-0001-6227-7484"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Onkar Krishna","raw_affiliation_strings":["Dept. of Information and Communication Engineering, The University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Information and Communication Engineering, The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069982192","display_name":"Kiyoharu Aizawa","orcid":"https://orcid.org/0000-0003-2146-6275"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyoharu Aizawa","raw_affiliation_strings":["Dept. of Information and Communication Engineering, The University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Information and Communication Engineering, The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091298991"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.1064,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.45576465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2326","last_page":"2330"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.995199978351593,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9932000041007996,"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/gaze","display_name":"Gaze","score":0.8608078360557556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7119848132133484},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7039653658866882},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6899873614311218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6577643156051636},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.6414453983306885},{"id":"https://openalex.org/keywords/elderly-people","display_name":"Elderly people","score":0.4879402816295624},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4139585494995117}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.8608078360557556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7119848132133484},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7039653658866882},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6899873614311218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6577643156051636},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.6414453983306885},{"id":"https://openalex.org/C3018697994","wikidata":"https://www.wikidata.org/wiki/Q191089","display_name":"Elderly people","level":2,"score":0.4879402816295624},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4139585494995117},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C74909509","wikidata":"https://www.wikidata.org/wiki/Q10387","display_name":"Gerontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1510835000","https://openalex.org/W2043331342","https://openalex.org/W2081239020","https://openalex.org/W2095727708","https://openalex.org/W2109812093","https://openalex.org/W2113590123","https://openalex.org/W2116565096","https://openalex.org/W2118985252","https://openalex.org/W2126532873","https://openalex.org/W2128272608","https://openalex.org/W2135957164","https://openalex.org/W2171578695","https://openalex.org/W2617955417","https://openalex.org/W2725582423","https://openalex.org/W2755279330","https://openalex.org/W2800749298","https://openalex.org/W4388387870","https://openalex.org/W6679089609","https://openalex.org/W6680437723","https://openalex.org/W6685173824","https://openalex.org/W6751297837","https://openalex.org/W6858533052"],"related_works":["https://openalex.org/W2183271128","https://openalex.org/W1589443630","https://openalex.org/W2385108104","https://openalex.org/W1999328396","https://openalex.org/W2031744515","https://openalex.org/W2148584227","https://openalex.org/W2127677160","https://openalex.org/W2062897714","https://openalex.org/W2168991662","https://openalex.org/W3003936178"],"abstract_inverted_index":{"Detecting":[0],"salient":[1],"locations":[2],"in":[3,15,88,110],"images":[4,74],"and":[5,76,94,100,119],"videos":[6,77,99],"that":[7],"attract":[8],"human":[9],"attention":[10],"is":[11,41],"a":[12,34,102],"challenging":[13],"problem":[14],"computer":[16],"vision.":[17],"Most":[18],"of":[19,33,43,105,108,114],"the":[20,30,44,86,111,115,127,134],"models":[21,57,131],"developed":[22],"for":[23,61,73,117],"this":[24,82],"purpose":[25],"are":[26],"either":[27],"based":[28],"on":[29,70],"bottom-up":[31],"features":[32],"scene":[35],"or":[36],"top-down":[37,46],"factors.":[38],"Observer's":[39],"age":[40,63],"one":[42],"important":[45],"factor":[47],"which":[48],"influences":[49],"viewing":[50,97],"behavior,":[51],"some":[52],"recent":[53],"studies":[54,67],"proposed":[55,122],"age-adapted":[56,123],"to":[58],"predict":[59],"saliencies":[60],"different":[62],"groups.":[64],"However,":[65],"these":[66],"reported":[68],"age-impact":[69],"eye-gaze":[71],"distribution":[72],"only":[75],"still":[78],"remain":[79],"unexplored.":[80],"In":[81],"study,":[83],"we":[84],"analyze":[85],"differences":[87],"eye":[89],"gaze":[90],"landings":[91],"between":[92],"adults":[93],"elderly":[95],"while":[96],"street":[98,116],"develop":[101],"novel":[103],"application":[104],"detecting":[106],"saliency":[107,124,130],"billboards":[109],"paved":[112],"area":[113],"adult":[118],"elderly.":[120],"Our":[121],"model":[125],"outperforms":[126],"existing":[128],"video":[129],"towards":[132],"predicting":[133],"billboard":[135],"saliency.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
