{"id":"https://openalex.org/W4220693973","doi":"https://doi.org/10.1145/3508396.3512872","title":"Understanding the potential of server-driven edge video analytics","display_name":"Understanding the potential of server-driven edge video analytics","publication_year":2022,"publication_date":"2022-03-05","ids":{"openalex":"https://openalex.org/W4220693973","doi":"https://doi.org/10.1145/3508396.3512872"},"language":"en","primary_location":{"id":"doi:10.1145/3508396.3512872","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3508396.3512872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications","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/A5103250112","display_name":"Qizheng Zhang","orcid":"https://orcid.org/0009-0009-3208-4601"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qizheng Zhang","raw_affiliation_strings":["University of Chicago"],"affiliations":[{"raw_affiliation_string":"University of Chicago","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036272233","display_name":"Kuntai Du","orcid":"https://orcid.org/0000-0002-3964-4079"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kuntai Du","raw_affiliation_strings":["University of Chicago"],"affiliations":[{"raw_affiliation_string":"University of Chicago","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091513870","display_name":"Neil Agarwal","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil Agarwal","raw_affiliation_strings":["Princeton University"],"affiliations":[{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053593890","display_name":"Ravi Netravali","orcid":"https://orcid.org/0000-0001-7002-5033"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ravi Netravali","raw_affiliation_strings":["Princeton University"],"affiliations":[{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103258769","display_name":"Junchen Jiang","orcid":"https://orcid.org/0000-0002-6877-1683"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junchen Jiang","raw_affiliation_strings":["University of Chicago"],"affiliations":[{"raw_affiliation_string":"University of Chicago","institution_ids":["https://openalex.org/I40347166"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103250112"],"corresponding_institution_ids":["https://openalex.org/I40347166"],"apc_list":null,"apc_paid":null,"fwci":0.604,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65616206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8614133596420288},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7203359603881836},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6873263120651245},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6849546432495117},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.643794596195221},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.626642644405365},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.59559565782547},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5087605118751526},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.46782559156417847},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.45242300629615784},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4342438578605652},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3500474691390991},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.33664536476135254},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.29177817702293396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.24296417832374573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23661375045776367},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22509357333183289}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8614133596420288},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7203359603881836},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6873263120651245},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6849546432495117},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.643794596195221},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.626642644405365},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.59559565782547},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5087605118751526},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.46782559156417847},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.45242300629615784},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4342438578605652},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3500474691390991},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.33664536476135254},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.29177817702293396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.24296417832374573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23661375045776367},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22509357333183289},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3508396.3512872","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3508396.3512872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1614998936","display_name":null,"funder_award_id":"1901466,2131826,2153449,2152313,2140552","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2086402015","https://openalex.org/W2518304558","https://openalex.org/W2613718673","https://openalex.org/W2752236330","https://openalex.org/W2872933037","https://openalex.org/W2887102961","https://openalex.org/W2951333013","https://openalex.org/W2962858109","https://openalex.org/W2965289829","https://openalex.org/W2972871493","https://openalex.org/W2980150456","https://openalex.org/W2987947587","https://openalex.org/W2998444797","https://openalex.org/W3035685239","https://openalex.org/W3046256272","https://openalex.org/W3046754651","https://openalex.org/W3098284407","https://openalex.org/W3147954149","https://openalex.org/W3173723986","https://openalex.org/W3197419460"],"related_works":["https://openalex.org/W2372020181","https://openalex.org/W2156531654","https://openalex.org/W4378714697","https://openalex.org/W1581723585","https://openalex.org/W2294330161","https://openalex.org/W2804553224","https://openalex.org/W2253069048","https://openalex.org/W140709781","https://openalex.org/W2940472653","https://openalex.org/W2920803707"],"abstract_inverted_index":{"The":[0],"proliferation":[1],"of":[2,14,33,81,155,178],"edge":[3],"video":[4,70,92,105,180],"analytics":[5],"applications":[6],"has":[7],"given":[8],"rise":[9],"to":[10,22,37,42,53,60,99,173],"a":[11,49,149],"new":[12],"breed":[13],"streaming":[15],"protocols":[16,35],"which":[17,182],"stream":[18,51,68],"aggressively":[19],"compressed":[20],"videos":[21],"remote":[23],"servers":[24],"for":[25,145],"compute-intensive":[26],"DNN":[27,41],"inference.":[28],"One":[29],"popular":[30],"design":[31,151],"paradigm":[32],"such":[34],"is":[36],"leverage":[38],"the":[39,54,58,63,69,72,91,103,109,157,163,175,179,185],"server-side":[40],"extract":[43,184],"useful":[44],"feedback":[45,59,82,158],"(e.g.":[46,108],"based":[47],"on":[48,181],"low-quality-encoded":[50],"sent":[52],"server)":[55],"and":[56,67,171],"use":[57,137],"inform":[61],"how":[62,156,165,172],"camera":[64],"should":[65,83,159,168],"encode":[66],"in":[71,153],"future.":[73],"In":[74],"this":[75],"server-driven":[76],"approach,":[77],"an":[78,135],"ideal":[79],"form":[80],"(1)":[84],"be":[85,160,169],"derived":[86,161],"from":[87,90,128,162],"minimum":[88,96,110],"information":[89],"sensor":[93],"(2)":[94],"incur":[95],"bandwidth":[97],"usage":[98],"obtain":[100],"(3)":[101],"indicate":[102],"optimal":[104],"streaming/encoding":[106],"scheme":[107],"frames/regions":[111],"that":[112,122],"require":[113],"high":[114],"encoding":[115,176],"quality).":[116],"However,":[117],"our":[118],"preliminary":[119],"study":[120],"shows":[121],"these":[123],"idealized":[124],"requirements":[125],"are":[126],"far":[127],"being":[129],"met.":[130],"Using":[131],"object":[132],"detection":[133],"as":[134],"example":[136],"case,":[138],"we":[139,183],"demonstrate":[140],"significant":[141],"yet":[142],"untapped":[143],"room":[144],"improvement":[146],"by":[147],"considering":[148],"broader":[150],"space,":[152],"terms":[154],"DNN,":[164],"often":[166],"it":[167],"extracted,":[170],"determine":[174],"quality":[177],"feedback.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
