{"id":"https://openalex.org/W4226051405","doi":"https://doi.org/10.1145/3486622.3493975","title":"Quantifying Urban Safety Perception on Street View Images","display_name":"Quantifying Urban Safety Perception on Street View Images","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W4226051405","doi":"https://doi.org/10.1145/3486622.3493975"},"language":"en","primary_location":{"id":"doi:10.1145/3486622.3493975","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486622.3493975","pdf_url":null,"source":{"id":"https://openalex.org/S4363608074","display_name":"IEEE/WIC/ACM International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/WIC/ACM International Conference on Web Intelligence","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/A5013761088","display_name":"Felipe Moreno-Vera","orcid":"https://orcid.org/0000-0002-2477-9624"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Felipe Moreno-Vera","raw_affiliation_strings":["RICS, UCSP, Peru"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RICS, UCSP, Peru","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047058508","display_name":"Bahram Lavi","orcid":"https://orcid.org/0000-0002-9226-9116"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bahram Lavi","raw_affiliation_strings":["EMAp, FGV, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EMAp, FGV, Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029317616","display_name":"Jorge Poco","orcid":"https://orcid.org/0000-0001-9096-6287"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jorge Poco","raw_affiliation_strings":["EMAp, FGV, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EMAp, FGV, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3938,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.74197708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"611","last_page":"616"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980000257492065,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980000257492065,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5829290747642517},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5699024200439453},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48870137333869934},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4063355326652527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37152335047721863},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3336179256439209},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2679321765899658},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19094213843345642},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10796207189559937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5829290747642517},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5699024200439453},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48870137333869934},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4063355326652527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37152335047721863},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3336179256439209},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2679321765899658},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19094213843345642},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10796207189559937},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3486622.3493975","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486622.3493975","pdf_url":null,"source":{"id":"https://openalex.org/S4363608074","display_name":"IEEE/WIC/ACM International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/WIC/ACM International Conference on Web Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8299999833106995,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W631895740","https://openalex.org/W1590686207","https://openalex.org/W1744548356","https://openalex.org/W2007027649","https://openalex.org/W2020934359","https://openalex.org/W2028979196","https://openalex.org/W2054016473","https://openalex.org/W2055132753","https://openalex.org/W2068883041","https://openalex.org/W2108598243","https://openalex.org/W2160067050","https://openalex.org/W2163587156","https://openalex.org/W2375237876","https://openalex.org/W2737525190","https://openalex.org/W2767176478","https://openalex.org/W2890231632","https://openalex.org/W2900752767","https://openalex.org/W2904894527","https://openalex.org/W2967372292","https://openalex.org/W2970283989","https://openalex.org/W3160054395","https://openalex.org/W3170717068","https://openalex.org/W3209546534","https://openalex.org/W3210517877","https://openalex.org/W4300990168"],"related_works":["https://openalex.org/W616994","https://openalex.org/W8956161","https://openalex.org/W789711","https://openalex.org/W891649","https://openalex.org/W12102671","https://openalex.org/W9493137","https://openalex.org/W12162421","https://openalex.org/W361316","https://openalex.org/W4354222","https://openalex.org/W16324485"],"abstract_inverted_index":{"In":[0],"the":[1,31,34,47,50,53,75,95,104,119],"last":[2],"40":[3],"years,":[4],"Urban":[5,38],"perception":[6,35,39,82,86,97,125],"has":[7],"become":[8],"an":[9],"important":[10],"research":[11],"area":[12],"covering":[13],"several":[14],"fields,":[15],"such":[16],"as":[17],"criminology,":[18],"psychology,":[19],"urban":[20,43,81,85,96,124],"planning,":[21],"Broken":[22],"windows":[23],"theory.":[24],"It":[25],"aims":[26],"to":[27,79,93,113],"analyze":[28],"and":[29,58],"interpret":[30],"behavior":[32],"of":[33,49,77,121],"in":[36,123],"cities.":[37],"focuses":[40],"on":[41,46,103],"understanding":[42],"environments":[44],"based":[45],"characteristics":[48],"city.":[51],"With":[52],"rapidly":[54],"increasing":[55],"data":[56,61],"availability":[57],"highly":[59],"scalable":[60],"collection":[62],"methods":[63],"powered":[64],"by":[65],"modern":[66],"web":[67],"services,":[68],"new":[69],"techniques":[70],"from":[71],"other":[72],"domains":[73],"enabled":[74],"exploration":[76],"solutions":[78],"estimate":[80],"(i.e.,":[83],"quantify":[84],"autonomously).":[87],"This":[88,109],"work":[89,101],"presents":[90],"a":[91],"methodology":[92],"explore":[94],"analysis":[98],"task.":[99],"The":[100],"relies":[102],"benchmark":[105],"dataset,":[106],"Place":[107],"Pulse.":[108],"dataset":[110],"is":[111],"used":[112],"perform":[114],"our":[115],"classification":[116],"tasks":[117],"concerning":[118],"category":[120],"safety":[122],"problems.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}