{"id":"https://openalex.org/W1793148911","doi":"https://doi.org/10.1145/2736277.2741634","title":"Tweeting Cameras for Event Detection","display_name":"Tweeting Cameras for Event Detection","publication_year":2015,"publication_date":"2015-05-18","ids":{"openalex":"https://openalex.org/W1793148911","doi":"https://doi.org/10.1145/2736277.2741634","mag":"1793148911"},"language":"en","primary_location":{"id":"doi:10.1145/2736277.2741634","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2736277.2741634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th International Conference on World Wide Web","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/A5100330365","display_name":"Yuhui Wang","orcid":"https://orcid.org/0000-0003-1040-3842"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yuhui Wang","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016415049","display_name":"Mohan Kankanhalli","orcid":"https://orcid.org/0000-0002-4846-2015"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mohan S. Kankanhalli","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":11.7861,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.98435879,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1231","last_page":"1241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996999979019165,"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/T11309","display_name":"Music and Audio Processing","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9887999892234802,"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":0.7800959348678589},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7088945508003235},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6959354877471924},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6053954362869263},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5481215119361877},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5203751921653748},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.506299614906311},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46766793727874756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45737385749816895},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4173538088798523},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3984007239341736},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3487246036529541},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12578213214874268}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7800959348678589},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7088945508003235},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6959354877471924},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6053954362869263},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5481215119361877},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5203751921653748},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.506299614906311},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46766793727874756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45737385749816895},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4173538088798523},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3984007239341736},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3487246036529541},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12578213214874268},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2736277.2741634","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2736277.2741634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th International Conference on World Wide Web","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.695.1476","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.695.1476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.www2015.it/documents/proceedings/proceedings/p1231.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320698","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W99277617","https://openalex.org/W570469333","https://openalex.org/W1534625513","https://openalex.org/W1592861141","https://openalex.org/W1596017546","https://openalex.org/W1833217318","https://openalex.org/W1970989461","https://openalex.org/W1983012012","https://openalex.org/W1992066818","https://openalex.org/W1999110238","https://openalex.org/W2007368314","https://openalex.org/W2011433665","https://openalex.org/W2013792503","https://openalex.org/W2020221730","https://openalex.org/W2020360881","https://openalex.org/W2022508996","https://openalex.org/W2026418062","https://openalex.org/W2036955326","https://openalex.org/W2040102758","https://openalex.org/W2040909284","https://openalex.org/W2053101950","https://openalex.org/W2058853499","https://openalex.org/W2109441445","https://openalex.org/W2110158442","https://openalex.org/W2110291364","https://openalex.org/W2112912048","https://openalex.org/W2114504777","https://openalex.org/W2123055698","https://openalex.org/W2124499489","https://openalex.org/W2129243715","https://openalex.org/W2137981002","https://openalex.org/W2147502347","https://openalex.org/W2148809503","https://openalex.org/W2149510050","https://openalex.org/W2153185908","https://openalex.org/W2164261375","https://openalex.org/W2167993212","https://openalex.org/W2559655401","https://openalex.org/W2604272474","https://openalex.org/W2951912364","https://openalex.org/W3097096317","https://openalex.org/W4206704848","https://openalex.org/W4301969137"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2070401501","https://openalex.org/W2121496884","https://openalex.org/W2387910809"],"abstract_inverted_index":{"We":[0,188,214],"are":[1,29,110,129,258],"living":[2],"in":[3,32,54,212],"a":[4,75,132,144,160,220],"world":[5],"of":[6,15,49,62,101,162,181,209,246,251],"big":[7],"sensor":[8,42,66],"data.":[9],"Due":[10],"to":[11,97,143,178,184,203,260],"the":[12,47,59,149,172,176,205,242,247],"widespread":[13],"prevalence":[14],"visual":[16,107],"sensors":[17,23,93,96],"(e.g.":[18,24],"surveillance":[19],"cameras)":[20],"and":[21,52,65,94,116,164,183,237,244,255],"social":[22,64,95,193,256],"Twitter":[25,202,238],"feeds),":[26],"many":[27],"events":[28,182,211],"implicitly":[30],"captured":[31],"real-time":[33,229],"by":[34,131,175,196],"such":[35,69],"heterogeneous":[36],"\"sensors\".":[37],"Combining":[38],"these":[39,63,117],"two":[40],"complementary":[41],"streams":[43],"can":[44,119,168],"significantly":[45],"improve":[46],"task":[48],"event":[50,73,156],"detection":[51,74],"aid":[53],"comprehending":[55],"evolving":[56,186],"situations.":[57,187],"However,":[58],"different":[60],"characteristics":[61],"data":[67,137,174,195],"make":[68],"information":[70],"fusion":[71],"for":[72,152,263],"challenging":[76],"problem.":[77],"To":[78,154],"tackle":[79],"this":[80,105],"problem,":[81],"we":[82,158],"propose":[83],"an":[84],"innovative":[85],"multi-layer":[86],"tweeting":[87],"camera":[88,113,235,253],"framework":[89,218],"integrating":[90],"both":[91],"physical":[92],"detect":[98],"various":[99],"concepts":[100,118],"real-world":[102,265],"events.":[103,266],"In":[104],"framework,":[106],"concept":[108],"detectors":[109],"applied":[111,170],"on":[112,171,191,201],"video":[114],"frames":[115],"be":[120,169,261],"construed":[121],"as":[122,148],"\"camera":[123],"tweets\"":[124],"posted":[125],"regularly.":[126],"These":[127],"tweets":[128,254,257],"represented":[130],"unified":[133],"probabilistic":[134],"spatio-temporal":[135],"(PST)":[136],"structure":[138],"which":[139,240],"is":[140],"then":[141],"aggregated":[142],"concept-based":[145],"image":[146],"(Cmage)":[147],"common":[150],"representation":[151],"visualization.":[153],"facilitate":[155],"analysis,":[157],"define":[159],"set":[161],"operators":[163],"analytic":[165],"functions":[166],"that":[167],"PST":[173],"user":[177],"discover":[179],"occurrences":[180],"analyse":[185],"further":[189],"leverage":[190],"geo-located":[192],"media":[194],"mining":[197],"current":[198],"topics":[199],"discussed":[200],"obtain":[204],"high-level":[206],"semantic":[207],"meaning":[208],"detected":[210],"images.":[213],"quantitatively":[215],"evaluate":[216],"our":[217],"with":[219],"large-scale":[221],"dataset":[222],"containing":[223],"images":[224],"from":[225],"150":[226],"New":[227],"York":[228],"traffic":[230],"CCTV":[231],"cameras,":[232],"university":[233],"foodcourt":[234],"feeds":[236],"data,":[239],"demonstrates":[241],"feasibility":[243],"effectiveness":[245],"proposed":[248],"framework.":[249],"Results":[250],"combining":[252],"shown":[259],"promising":[262],"detecting":[264]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}