{"id":"https://openalex.org/W3023198505","doi":"https://doi.org/10.1145/3293353.3293365","title":"A Neural Network Based Approach for Geo-Localizing Events in Crowd Sourced Videos","display_name":"A Neural Network Based Approach for Geo-Localizing Events in Crowd Sourced Videos","publication_year":2018,"publication_date":"2018-12-18","ids":{"openalex":"https://openalex.org/W3023198505","doi":"https://doi.org/10.1145/3293353.3293365","mag":"3023198505"},"language":"en","primary_location":{"id":"doi:10.1145/3293353.3293365","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293353.3293365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing","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/A5004473837","display_name":"Amit More","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Amit More","raw_affiliation_strings":["Indian Institute of Technology Bombay, Mumbai, Maharastra"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay, Mumbai, Maharastra","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016405213","display_name":"Subhasis Chaudhuri","orcid":"https://orcid.org/0000-0002-1680-0016"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subhasis Chaudhuri","raw_affiliation_strings":["Indian Institute of Technology Bombay, Mumbai, Maharastra"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay, Mumbai, Maharastra","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004473837"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26093071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9988999962806702,"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/computer-science","display_name":"Computer science","score":0.7269182801246643},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4861273765563965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43764981627464294},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34824544191360474},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3379104733467102}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7269182801246643},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4861273765563965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43764981627464294},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34824544191360474},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3379104733467102}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3293353.3293365","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293353.3293365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing","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":24,"referenced_works":["https://openalex.org/W1764053936","https://openalex.org/W1800356822","https://openalex.org/W1968041911","https://openalex.org/W1971637499","https://openalex.org/W1987995612","https://openalex.org/W1994623790","https://openalex.org/W2010692605","https://openalex.org/W2024207974","https://openalex.org/W2038228855","https://openalex.org/W2042021939","https://openalex.org/W2070372194","https://openalex.org/W2080040630","https://openalex.org/W2135935434","https://openalex.org/W2143350754","https://openalex.org/W2164276496","https://openalex.org/W2320453482","https://openalex.org/W2347535369","https://openalex.org/W2551255781","https://openalex.org/W2563282991","https://openalex.org/W2765985332","https://openalex.org/W2784652921","https://openalex.org/W2807992235","https://openalex.org/W4205235504","https://openalex.org/W4249502209"],"related_works":["https://openalex.org/W1891287906","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2755342338","https://openalex.org/W2229312674","https://openalex.org/W3116076068","https://openalex.org/W2058170566","https://openalex.org/W258625772","https://openalex.org/W2170022336"],"abstract_inverted_index":{"Popular":[0],"events":[1,30],"are":[2,52],"often":[3],"video":[4],"recorded":[5],"simultaneously":[6],"by":[7,35,86],"a":[8,19],"general":[9],"crowd":[10],"using":[11,31,104,119],"smartphones.":[12,57],"In":[13],"the":[14,56,64,70,73,95,100],"present":[15],"work,":[16],"we":[17,45],"propose":[18],"robust":[20],"recurrent":[21],"neural":[22,75],"network":[23,92],"(RNN)":[24],"based":[25],"approach":[26],"for":[27],"geo-localizing":[28],"these":[29,80],"sensor":[32],"data":[33,66,106],"collected":[34],"user":[36],"smartphones":[37],"while":[38],"recording":[39],"such":[40],"events.":[41,81],"For":[42],"this":[43,84,120],"task":[44],"use":[46],"GPS":[47],"and":[48,93,107,122],"compass":[49,68],"sensors,":[50],"which":[51],"commonly":[53],"available":[54],"on":[55,111],"The":[58,126],"circular":[59,88],"nature":[60],"(modulo":[61],"2\u03c0)":[62],"of":[63,72,135],"orientation":[65],"from":[67],"limits":[69],"ability":[71],"classical":[74],"networks":[76],"(NN)":[77],"to":[78],"geo-localize":[79],"We":[82,98,114],"mitigate":[83],"issue":[85],"incorporating":[87],"nodes":[89],"in":[90,133],"our":[91,124],"show":[94,123],"performance":[96],"improvements.":[97],"train":[99,115],"proposed":[101,127],"NN":[102],"model":[103],"simulated":[105],"apply":[108],"it":[109],"directly":[110],"real":[112],"data.":[113],"several":[116],"RNN":[117],"models":[118],"strategy":[121],"analyses.":[125],"work":[128],"outperforms":[129],"all":[130],"previous":[131],"approaches":[132],"terms":[134],"event":[136],"geo-localization":[137],"accuracy.":[138]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}