{"id":"https://openalex.org/W2083581777","doi":"https://doi.org/10.1145/2661118.2661123","title":"Inferring Home Location from User's Photo Collections based on Visual Content and Mobility Patterns","display_name":"Inferring Home Location from User's Photo Collections based on Visual Content and Mobility Patterns","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W2083581777","doi":"https://doi.org/10.1145/2661118.2661123","mag":"2083581777"},"language":"en","primary_location":{"id":"doi:10.1145/2661118.2661123","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661118.2661123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM Multimedia Workshop on Geotagging and Its Applications in Multimedia","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/A5073622213","display_name":"Danning Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Danning Zheng","raw_affiliation_strings":["University of Rochester, rochester, USA","University of Rochester, Rochester, USA"],"affiliations":[{"raw_affiliation_string":"University of Rochester, rochester, USA","institution_ids":["https://openalex.org/I5388228"]},{"raw_affiliation_string":"University of Rochester, Rochester, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014720604","display_name":"Tianran Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianran Hu","raw_affiliation_strings":["University of Rochester, Rochester, USA"],"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035950313","display_name":"Quanzeng You","orcid":"https://orcid.org/0000-0003-3608-0607"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quanzeng You","raw_affiliation_strings":["University of Rochester, Rochester, USA"],"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105508446","display_name":"Henry Kautz","orcid":"https://orcid.org/0000-0001-5219-2970"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Henry Kautz","raw_affiliation_strings":["University of Rochester, Rochester, USA"],"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055469774","display_name":"Jiebo Luo","orcid":"https://orcid.org/0000-0002-4516-9729"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiebo Luo","raw_affiliation_strings":["University of Rochester, Rochester, USA"],"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5073622213"],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":2.0808,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.89264434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9929999709129333,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9631999731063843,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7849628925323486},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6366629004478455},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5600472688674927},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5195170640945435},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49527397751808167},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4770209789276123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4550846219062805},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.41735103726387024},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37125706672668457},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32985830307006836},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.28980135917663574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7849628925323486},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6366629004478455},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5600472688674927},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5195170640945435},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49527397751808167},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4770209789276123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4550846219062805},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.41735103726387024},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37125706672668457},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32985830307006836},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.28980135917663574}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2661118.2661123","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661118.2661123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM Multimedia Workshop on Geotagging and Its Applications in Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1570448133","https://openalex.org/W1993995511","https://openalex.org/W1994236950","https://openalex.org/W2017814585","https://openalex.org/W2018277822","https://openalex.org/W2070057694","https://openalex.org/W2081721999","https://openalex.org/W2083978868","https://openalex.org/W2102605133","https://openalex.org/W2103163130","https://openalex.org/W2104008533","https://openalex.org/W2110953678","https://openalex.org/W2114762199","https://openalex.org/W2139650347","https://openalex.org/W2163605009","https://openalex.org/W2166039498","https://openalex.org/W2604272474","https://openalex.org/W2966207845"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167"],"abstract_inverted_index":{"Precise":[0],"home":[1,50,99,109],"location":[2,51,110],"detection":[3],"has":[4],"been":[5],"actively":[6],"studied":[7],"in":[8,16],"the":[9,17,28,32,59,72,90,115,122,137,152],"past":[10],"few":[11,30],"years.":[12],"It":[13],"is":[14,71],"indispensable":[15],"researching":[18],"fields":[19],"such":[20],"as":[21,97],"personalized":[22],"marketing":[23],"and":[24,55,121,142],"disease":[25],"propagation.":[26],"Since":[27],"last":[29],"decades,":[31],"rapid":[33],"growth":[34],"of":[35,62,69,118,125,140,151],"geotagged":[36,73],"multimedia":[37],"database":[38],"from":[39,52,76],"online":[40],"social":[41,63],"networks":[42],"provides":[43],"a":[44,84,105,130],"valuable":[45],"opportunity":[46],"to":[47,94,108],"predict":[48],"people's":[49,126],"temporal,":[53],"spatial":[54],"visual":[56,116,141],"cues.":[57],"Among":[58],"massive":[60],"amount":[61],"media":[64],"data,":[65],"one":[66],"important":[67],"type":[68],"data":[70],"web":[74,119],"images":[75,120],"image-sharing":[77],"websites.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82,134],"developed":[83],"reliable":[85],"photo":[86],"classifier":[87],"based":[88],"on":[89],"Convolutional":[91],"Neutral":[92],"Networks":[93],"classify":[95],"photos":[96],"either":[98],"or":[100],"non-home.":[101],"We":[102],"then":[103],"proposed":[104],"novel":[106],"approach":[107],"prediction":[111],"by":[112],"fusing":[113],"together":[114],"content":[117],"spatiotemporal":[123],"features":[124,153],"mobility":[127],"pattern.":[128],"Using":[129],"linear":[131],"SVM":[132],"classifier,":[133],"showed":[135],"that":[136],"robust":[138],"fusion":[139],"temporal":[143],"feature":[144],"achieves":[145],"significant":[146],"accuracy":[147],"improvement":[148],"over":[149],"each":[150],"alone.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}