{"id":"https://openalex.org/W3165920488","doi":"https://doi.org/10.1109/indin45582.2020.9442166","title":"Multitask Deep Learning for Edge Intelligence Video Surveillance System","display_name":"Multitask Deep Learning for Edge Intelligence Video Surveillance System","publication_year":2020,"publication_date":"2020-07-20","ids":{"openalex":"https://openalex.org/W3165920488","doi":"https://doi.org/10.1109/indin45582.2020.9442166","mag":"3165920488"},"language":"en","primary_location":{"id":"doi:10.1109/indin45582.2020.9442166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin45582.2020.9442166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","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/A5108050442","display_name":"Jiawei Li","orcid":"https://orcid.org/0000-0003-3873-8003"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiawei Li","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinuhua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinuhua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005752974","display_name":"Zhilong Zheng","orcid":"https://orcid.org/0009-0005-1907-1882"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhilong Zheng","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinuhua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinuhua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346332","display_name":"Yiming Li","orcid":"https://orcid.org/0000-0002-2258-265X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Li","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103420057","display_name":"Rubao Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rubao Ma","raw_affiliation_strings":["Bright Dream Robotics Co., Ltd. of Country Garden Group, FoShan, China"],"affiliations":[{"raw_affiliation_string":"Bright Dream Robotics Co., Ltd. of Country Garden Group, FoShan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034104790","display_name":"Shu\u2010Tao Xia","orcid":"https://orcid.org/0000-0002-8639-982X"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu-Tao Xia","raw_affiliation_strings":["PCL Research Center of Networks and Communications, Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"PCL Research Center of Networks and Communications, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5108050442"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.2946,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.59586466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"579","last_page":"584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.996399998664856,"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":0.859173059463501},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7514125108718872},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7055580019950867},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6693280935287476},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6192349791526794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5875696539878845},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5769426226615906},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5726935863494873},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.5439860224723816},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4991471767425537},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4422055184841156},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32382702827453613},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11009368300437927}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.859173059463501},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7514125108718872},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7055580019950867},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6693280935287476},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6192349791526794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5875696539878845},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5769426226615906},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5726935863494873},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.5439860224723816},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4991471767425537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4422055184841156},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32382702827453613},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11009368300437927},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin45582.2020.9442166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin45582.2020.9442166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1729927818","display_name":null,"funder_award_id":"61771273","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1947481528","https://openalex.org/W2028661866","https://openalex.org/W2149933564","https://openalex.org/W2165991108","https://openalex.org/W2184384442","https://openalex.org/W2253728219","https://openalex.org/W2340897893","https://openalex.org/W2520433280","https://openalex.org/W2531014176","https://openalex.org/W2593768305","https://openalex.org/W2594507094","https://openalex.org/W2606909710","https://openalex.org/W2739879705","https://openalex.org/W2745993090","https://openalex.org/W2759692151","https://openalex.org/W2786070938","https://openalex.org/W2796347433","https://openalex.org/W2887117815","https://openalex.org/W2896225285","https://openalex.org/W2898188788","https://openalex.org/W2901569689","https://openalex.org/W2908564251","https://openalex.org/W2913340405","https://openalex.org/W2929084559","https://openalex.org/W2944039629","https://openalex.org/W2962786991","https://openalex.org/W2962835968","https://openalex.org/W2963150697","https://openalex.org/W2963891724","https://openalex.org/W2967368420","https://openalex.org/W2986858483","https://openalex.org/W2996611683","https://openalex.org/W2997110625","https://openalex.org/W3002670789","https://openalex.org/W3003630993","https://openalex.org/W3008383986","https://openalex.org/W3023305792","https://openalex.org/W3033891414","https://openalex.org/W3153379744","https://openalex.org/W4287901246","https://openalex.org/W4293584584","https://openalex.org/W4299518610","https://openalex.org/W6637373629","https://openalex.org/W6682132143","https://openalex.org/W6734871034","https://openalex.org/W6761304475"],"related_works":["https://openalex.org/W4324372666","https://openalex.org/W2979760315","https://openalex.org/W4225706866","https://openalex.org/W3189674571","https://openalex.org/W4322761281","https://openalex.org/W2914646191","https://openalex.org/W4238233472","https://openalex.org/W4313339048","https://openalex.org/W4386004629","https://openalex.org/W2942586735"],"abstract_inverted_index":{"From":[0],"the":[1,43,61,68,82,99,105,117,121,129,138,145,151],"mutual":[2],"empowerment":[3],"of":[4,46,64,109],"two":[5],"high-speed":[6],"development":[7],"technologies:":[8],"artificial":[9],"intelligence":[10],"and":[11,31,107,161],"edge":[12,28],"computing,":[13],"we":[14,53,124],"propose":[15,125],"a":[16,26,55,77,134],"tailored":[17],"Edge":[18],"Intelligent":[19],"Video":[20],"Surveillance":[21],"(EIVS)":[22],"system.":[23],"It":[24],"is":[25],"scalable":[27],"computing":[29],"architecture":[30],"uses":[32],"multitask":[33,135,166],"deep":[34,83,110],"learning":[35,84,111,131],"for":[36,76,116],"relevant":[37],"computer":[38,95],"vision":[39,96],"tasks.":[40],"Due":[41],"to":[42,59,93,104,126],"potential":[44],"application":[45],"different":[47,65],"surveillance":[48],"devices":[49],"are":[50,113],"widely":[51],"different,":[52],"adopt":[54],"smart":[56],"IoT":[57],"module":[58],"normalize":[60],"video":[62],"data":[63,75],"cameras,":[66],"thus":[67],"EIVS":[69,91],"system":[70,152],"can":[71,86,162],"conveniently":[72],"found":[73],"proper":[74],"specific":[78],"task.":[79],"In":[80],"addition,":[81],"models":[85,132],"be":[87],"deployed":[88],"at":[89],"every":[90],"nodes,":[92],"make":[94],"tasks":[97,119],"on":[98,137,144],"normalized":[100],"data.":[101],"Meanwhile,":[102],"due":[103],"training":[106],"deploying":[108],"model":[112],"usually":[114],"separated,":[115],"related":[118],"in":[120,133],"same":[122],"scenario,":[123],"collaboratively":[127],"train":[128],"depth":[130],"paradigm":[136],"cloud":[139],"server.":[140],"The":[141],"simulation":[142],"results":[143],"publicly":[146],"available":[147],"datasets":[148],"show":[149],"that":[150],"continuously":[153],"supports":[154],"intelligent":[155],"monitoring":[156],"tasks,":[157],"has":[158],"good":[159],"scalability,":[160],"improve":[163],"performance":[164],"through":[165],"learning.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}