{"id":"https://openalex.org/W3127633939","doi":"https://doi.org/10.1109/icdcs47774.2020.00182","title":"SiEVE: Semantically Encoded Video Analytics on Edge and Cloud","display_name":"SiEVE: Semantically Encoded Video Analytics on Edge and Cloud","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3127633939","doi":"https://doi.org/10.1109/icdcs47774.2020.00182","mag":"3127633939"},"language":"en","primary_location":{"id":"doi:10.1109/icdcs47774.2020.00182","doi":"https://doi.org/10.1109/icdcs47774.2020.00182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdcs47774.2020.00182","pdf_url":null,"source":{"id":"https://openalex.org/S4363608224","display_name":"IEEE International Conference on Distributed Computing Systems (ICDCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2006.01318","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056105451","display_name":"Tarek Elgamal","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tarek Elgamal","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000822156","display_name":"Shu Shi","orcid":"https://orcid.org/0009-0000-9893-612X","observed_orcids":["https://orcid.org/0009-0000-9893-612X"]},"institutions":[{"id":"https://openalex.org/I4405256866","display_name":"ByteDance (China)","ror":"https://ror.org/04m8av638","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405256866"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Shi","raw_affiliation_strings":["ByteDance"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ByteDance","institution_ids":["https://openalex.org/I4405256866"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083459076","display_name":"Varun Gupta","orcid":"https://orcid.org/0000-0002-2633-5920","observed_orcids":["https://orcid.org/0000-0002-2633-5920"]},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Varun Gupta","raw_affiliation_strings":["Facebook, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook, Inc","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112853619","display_name":"Rittwik Jana","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rittwik Jana","raw_affiliation_strings":["AT&T Labs Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs Research","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074224097","display_name":"Klara Nahrstedt","orcid":"https://orcid.org/0000-0001-6813-3043","observed_orcids":["https://orcid.org/0000-0001-6813-3043"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Klara Nahrstedt","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.44,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.79721173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.5307999849319458,"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"}},"topics":[{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.5307999849319458,"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"}},{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.3310999870300293,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.0917000025510788,"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/video-analysis","display_name":"video analysis","score":0.9150000214576721},{"id":"https://openalex.org/keywords/edge-computing","display_name":"edge computing","score":0.718999981880188},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"cloud computing","score":0.8180000185966492},{"id":"https://openalex.org/keywords/surveillance-video","display_name":"surveillance video","score":0.6610000133514404},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.7300000190734863},{"id":"https://openalex.org/keywords/compressed-video-streams","display_name":"compressed video streams","score":0.7210000157356262},{"id":"https://openalex.org/keywords/three-tier-architecture","display_name":"three-tier architecture","score":0.7450000047683716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8682750463485718},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.660253643989563},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.637418806552887},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5054526329040527},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.501903772354126},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4943418502807617},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4828803837299347},{"id":"https://openalex.org/C162478608","wikidata":"https://www.wikidata.org/wiki/Q4011369","display_name":"Uncompressed video","level":4,"score":0.47428518533706665},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.4705049395561218},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.4394074082374573},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.42377564311027527},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.39521557092666626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3811538815498352},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3755114674568176},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34705978631973267},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1670430600643158},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icdcs47774.2020.00182","doi":"https://doi.org/10.1109/icdcs47774.2020.00182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdcs47774.2020.00182","pdf_url":null,"source":{"id":"https://openalex.org/S4363608224","display_name":"IEEE International Conference on Distributed Computing Systems (ICDCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2006.01318","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.01318","pdf_url":"https://arxiv.org/pdf/2006.01318","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3032923749","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2006.01318","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2006.01318","doi":"https://doi.org/10.48550/arxiv.2006.01318","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2006.01318","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2006.01318","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.01318","pdf_url":"https://arxiv.org/pdf/2006.01318","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3127633939.pdf","grobid_xml":"https://content.openalex.org/works/W3127633939.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W2135099885","https://openalex.org/W2151103935","https://openalex.org/W2605258629","https://openalex.org/W2606722458","https://openalex.org/W2725283788","https://openalex.org/W2752236330","https://openalex.org/W2887117815"],"related_works":["https://openalex.org/W3084729642","https://openalex.org/W4411621296","https://openalex.org/W4285020267","https://openalex.org/W4411065462","https://openalex.org/W4400237985","https://openalex.org/W2915934094","https://openalex.org/W3045715952","https://openalex.org/W7220609608","https://openalex.org/W4312051597","https://openalex.org/W4415336704"],"abstract_inverted_index":{"Recent":[0],"advances":[1,32],"in":[2,29,33,162,220],"computer":[3],"vision":[4],"and":[5,20,81,143],"neural":[6],"networks":[7],"have":[8,70],"made":[9],"it":[10,176],"possible":[11],"for":[12,73],"more":[13,221],"surveillance":[14],"videos":[15,37],"to":[16,48,77,108,128,139,159,168,180,205,226],"be":[17,82,181],"automatically":[18],"searched":[19],"analyzed":[21,39],"by":[22,197],"algorithms":[23],"rather":[24],"than":[25,222],"humans.":[26],"This":[27],"happened":[28],"parallel":[30],"with":[31,63,210],"edge":[34,45,116],"computing":[35],"where":[36,102],"are":[38],"over":[40,149],"hierarchical":[41],"clusters":[42],"that":[43,196,229],"contain":[44],"devices,":[46],"close":[47,204],"the":[49,53,85,95,103,141,145,184,187,215],"video":[50,55,68,96,105,136,150,164,173,178,200,216,232],"source.":[51],"However,":[52],"current":[54],"analysis":[56,87],"pipeline":[57],"has":[58],"several":[59],"disadvantages":[60],"when":[61],"dealing":[62],"such":[64],"advances.":[65],"For":[66],"example,":[67],"encoders":[69,179],"been":[71],"designed":[72],"a":[74,110,114,134,156],"long":[75],"time":[76],"please":[78],"human":[79],"viewers":[80],"agnostic":[83],"of":[84,94,124,147,183,186,214],"downstream":[86,188],"task":[88,189],"(e.g.,":[89,190],"object":[90,191,207],"detection).":[91,192],"Moreover,":[92],"most":[93],"analytics":[97,137,148],"systems":[98],"leverage":[99,122],"2-tier":[100],"architecture":[101],"encoded":[104],"is":[106],"sent":[107],"either":[109],"remote":[111],"cloud":[112],"or":[113],"private":[115],"server":[117],"but":[118],"does":[119],"not":[120],"efficiently":[121],"both":[123],"them.":[125],"In":[126,152],"response":[127],"these":[129],"advances,":[130],"we":[131,154,202],"present":[132,155],"SIEVE,":[133,153],"3-tier":[135],"system":[138],"reduce":[140],"latency":[142],"increase":[144],"throughput":[146],"streams.":[151,165],"novel":[157],"technique":[158,170],"detect":[160],"objects":[161],"compressed":[163],"We":[166],"refer":[167],"this":[169],"as":[171],"semantic":[172,199],"encoding":[174],"because":[175],"allows":[177],"aware":[182],"semantics":[185],"Our":[193],"results":[194,219],"show":[195],"leveraging":[198],"encoding,":[201],"achieve":[203],"100%":[206],"detection":[208],"accuracy":[209],"decompressing":[211],"only":[212],"3.5%":[213],"frames":[217],"which":[218],"100x":[223],"speedup":[224],"compared":[225],"classical":[227],"approaches":[228],"decompress":[230],"every":[231],"frame.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-02-15T00:00:00"}