{"id":"https://openalex.org/W2526538213","doi":"https://doi.org/10.1145/2964284.2971472","title":"Geospatial Multimedia Data for Situation Recognition","display_name":"Geospatial Multimedia Data for Situation Recognition","publication_year":2016,"publication_date":"2016-09-29","ids":{"openalex":"https://openalex.org/W2526538213","doi":"https://doi.org/10.1145/2964284.2971472","mag":"2526538213"},"language":"en","primary_location":{"id":"doi:10.1145/2964284.2971472","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2964284.2971472","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 ACM international conference on 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/A5102911468","display_name":"Mengfan Tang","orcid":"https://orcid.org/0000-0002-8329-7350"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mengfan Tang","raw_affiliation_strings":["University of California, Irvine, Irvine, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Irvine, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102911468"],"corresponding_institution_ids":["https://openalex.org/I204250578"],"apc_list":null,"apc_paid":null,"fwci":0.2522,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53977611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1430","last_page":"1434"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9929999709129333,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9929999709129333,"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/T11106","display_name":"Data Management and Algorithms","score":0.9908000230789185,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9861999750137329,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.797134280204773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7695921659469604},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.5918434858322144},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34870103001594543},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.12680935859680176},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07180970907211304}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.797134280204773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7695921659469604},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.5918434858322144},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34870103001594543},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.12680935859680176},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07180970907211304}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2964284.2971472","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2964284.2971472","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 ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5899999737739563,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1582076706","https://openalex.org/W1599343256","https://openalex.org/W1606347560","https://openalex.org/W1965555842","https://openalex.org/W1971402834","https://openalex.org/W2024639815","https://openalex.org/W2031674781","https://openalex.org/W2036931824","https://openalex.org/W2060517955","https://openalex.org/W2089150756","https://openalex.org/W2104794450","https://openalex.org/W2117618130","https://openalex.org/W2142703996","https://openalex.org/W2153207204","https://openalex.org/W2155293173","https://openalex.org/W2155893237","https://openalex.org/W2160858172","https://openalex.org/W2167424492","https://openalex.org/W2296460553","https://openalex.org/W2410309803","https://openalex.org/W2515343214","https://openalex.org/W2588193771","https://openalex.org/W2618530766","https://openalex.org/W2726475540","https://openalex.org/W2990138404","https://openalex.org/W3121567163","https://openalex.org/W3146166473","https://openalex.org/W4241115065","https://openalex.org/W4387755749"],"related_works":["https://openalex.org/W2355862304","https://openalex.org/W2356108042","https://openalex.org/W2030250808","https://openalex.org/W2376796979","https://openalex.org/W2379418341","https://openalex.org/W2380054981","https://openalex.org/W2393110101","https://openalex.org/W2379285345","https://openalex.org/W4239328682","https://openalex.org/W2372054075"],"abstract_inverted_index":{"Many":[0],"emerging":[1],"problems":[2],"increasingly":[3],"rely":[4],"on":[5,60],"integrating":[6],"complex":[7],"heterogeneous":[8],"sensor":[9],"streams,":[10],"ranging":[11],"from":[12,28,85],"photos,":[13],"texts,":[14],"environmental":[15],"data":[16,26,36,49,71,75,84,94],"streams":[17,72],"and":[18,38,53,57,68,77,127],"other":[19],"participating":[20],"human":[21],"sensors.":[22],"The":[23,91],"diversity":[24],"of":[25,62,93,101],"types":[27],"disparate":[29],"sensors":[30],"poses":[31],"a":[32],"major":[33],"challenge":[34],"in":[35,104],"aggregation":[37],"assimilation.":[39],"EventShop":[40],"was":[41],"originally":[42],"designed":[43],"for":[44,65,120],"situation":[45],"recognition":[46],"using":[47],"diverse":[48],"sources.":[50],"We":[51,81],"propose":[52],"develop":[54],"new":[55],"interpolation":[56],"prediction":[58],"models":[59],"top":[61],"EventShop,":[63],"allowing":[64],"effective":[66],"ingesting":[67],"combining":[69],"appropriate":[70],"to":[73],"improve":[74],"quality":[76],"predict":[78],"specific":[79],"situations.":[80],"also":[82],"incorporate":[83],"participatory":[86,106],"sensing":[87,107],"into":[88,98],"the":[89,111,115],"system.":[90],"synergy":[92],"gives":[95],"powerful":[96],"insight":[97],"better":[99],"understanding":[100],"evolving":[102],"situations,":[103],"which":[105],"is":[108,118],"integrated":[109],"with":[110],"surrounding":[112],"environment.":[113],"Furthermore,":[114],"enhanced":[116],"system":[117],"used":[119],"two":[121],"real-world":[122],"problems:":[123],"asthma":[124],"risk":[125],"management":[126],"smart":[128],"city.":[129]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
