{"id":"https://openalex.org/W2043475427","doi":"https://doi.org/10.1145/2737095.2737115","title":"SIFT","display_name":"SIFT","publication_year":2015,"publication_date":"2015-04-13","ids":{"openalex":"https://openalex.org/W2043475427","doi":"https://doi.org/10.1145/2737095.2737115","mag":"2043475427"},"language":"en","primary_location":{"id":"doi:10.1145/2737095.2737115","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2737095.2737115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","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/A5110037578","display_name":"Chieh-Jan Mike Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Chieh-Jan Mike Liang","raw_affiliation_strings":["Microsoft Research","Microsoft research#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015011965","display_name":"B\u00f6rje F. Karlsson","orcid":"https://orcid.org/0000-0001-8925-360X"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"B\u00f6rje F. Karlsson","raw_affiliation_strings":["Microsoft Research","Microsoft research#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045638679","display_name":"Nicholas D. Lane","orcid":"https://orcid.org/0000-0002-2728-8273"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Nicholas D. Lane","raw_affiliation_strings":["Microsoft Research","Microsoft research#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102740754","display_name":"Feng Zhao","orcid":"https://orcid.org/0000-0002-5730-2208"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Feng Zhao","raw_affiliation_strings":["Microsoft Research","Microsoft research#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070196625","display_name":"Junbei Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junbei Zhang","raw_affiliation_strings":["USTC China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USTC China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026844462","display_name":"Zheyi Pan","orcid":"https://orcid.org/0000-0002-3420-623X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheyi Pan","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032277491","display_name":"Zhao Li","orcid":"https://orcid.org/0000-0002-5056-0351"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao Li","raw_affiliation_strings":["USTC China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USTC China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101797452","display_name":"Yong Yu","orcid":"https://orcid.org/0000-0003-0667-077X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yu","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1187,"has_fulltext":false,"cited_by_count":69,"citation_normalized_percentile":{"value":0.96019558,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"298","last_page":"309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9993000030517578,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9993000030517578,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8264774084091187},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.7364242672920227},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.6326333284378052},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5229231119155884},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5168893337249756},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.49522796273231506},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38168153166770935},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2685062885284424},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.2373761534690857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17542985081672668},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.12967878580093384},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08236142992973328}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8264774084091187},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7364242672920227},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.6326333284378052},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5229231119155884},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5168893337249756},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.49522796273231506},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38168153166770935},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2685062885284424},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2373761534690857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17542985081672668},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.12967878580093384},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08236142992973328},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2737095.2737115","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2737095.2737115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1480909796","https://openalex.org/W1501296238","https://openalex.org/W1506806321","https://openalex.org/W1561233919","https://openalex.org/W1596046736","https://openalex.org/W1599494361","https://openalex.org/W1663109347","https://openalex.org/W1720043126","https://openalex.org/W1783722518","https://openalex.org/W1887412317","https://openalex.org/W1975812213","https://openalex.org/W1992916604","https://openalex.org/W1998088399","https://openalex.org/W2002130414","https://openalex.org/W2006503929","https://openalex.org/W2030691155","https://openalex.org/W2086239403","https://openalex.org/W2087611087","https://openalex.org/W2110311336","https://openalex.org/W2139616859","https://openalex.org/W2147340401","https://openalex.org/W2154721480","https://openalex.org/W2159595840","https://openalex.org/W2161488870","https://openalex.org/W2165605851","https://openalex.org/W2167952208","https://openalex.org/W2187957596","https://openalex.org/W4205241946","https://openalex.org/W6637070250","https://openalex.org/W6683303659"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W1966831329","https://openalex.org/W2020188645","https://openalex.org/W2739923608","https://openalex.org/W2087391438","https://openalex.org/W2102080789"],"abstract_inverted_index":{"As":[0],"the":[1,7,43,85,94,130],"number":[2],"of":[3,10,18,132],"connected":[4,54],"devices":[5,12,55],"explodes,":[6],"use":[8],"scenarios":[9],"these":[11,19],"and":[13,33,78,92,114,134,142],"data":[14,27,77],"have":[15],"multiplied.":[16],"Many":[17],"scenarios,":[20],"e.g.,":[21],"home":[22],"automation,":[23],"require":[24],"tools":[25],"beyond":[26],"visualizations,":[28],"to":[29,34,60,83,89,139],"express":[30,64],"user":[31,86,112],"intents":[32,66],"ensure":[35,90],"interactions":[36],"do":[37],"not":[38],"cause":[39],"undesired":[40],"effects":[41],"in":[42,56,67],"physical":[44],"world.":[45],"We":[46],"present":[47],"SIFT,":[48],"a":[49,118,122],"safety-centric":[50],"programming":[51],"platform":[52],"for":[53],"IoT":[57,69,124,144],"environments.":[58],"First,":[59],"simplify":[61],"programming,":[62],"users":[63],"high-level":[65],"declarative":[68],"apps.":[70,107,145],"The":[71],"system":[72,95],"then":[73],"decides":[74],"which":[75],"sensor":[76],"operations":[79],"should":[80],"be":[81],"combined":[82],"satisfy":[84],"requirements.":[87],"Second,":[88],"safety":[91],"compliance,":[93],"verifies":[96],"whether":[97],"conflicts":[98],"or":[99,105],"policy":[100],"violations":[101],"can":[102],"occur":[103],"within":[104],"between":[106],"Through":[108],"an":[109],"office":[110],"deployment,":[111],"studies,":[113],"trace":[115],"analysis":[116],"using":[117],"large-scale":[119],"dataset":[120],"from":[121],"commercial":[123],"app":[125],"authoring":[126],"platform,":[127],"we":[128],"demonstrate":[129],"power":[131],"SIFT":[133],"highlight":[135],"how":[136],"it":[137],"leads":[138],"more":[140],"robust":[141],"reliable":[143]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}