{"id":"https://openalex.org/W4284669748","doi":"https://doi.org/10.1109/iwqos54832.2022.9812896","title":"VPPlus: Exploring the Potentials of Video Processing for Live Video Analytics at the Edge","display_name":"VPPlus: Exploring the Potentials of Video Processing for Live Video Analytics at the Edge","publication_year":2022,"publication_date":"2022-06-10","ids":{"openalex":"https://openalex.org/W4284669748","doi":"https://doi.org/10.1109/iwqos54832.2022.9812896"},"language":"en","primary_location":{"id":"doi:10.1109/iwqos54832.2022.9812896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos54832.2022.9812896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5087759668","display_name":"Junpeng Guo","orcid":"https://orcid.org/0000-0002-9803-6268"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junpeng Guo","raw_affiliation_strings":["Purdue University,Department of Computer Science,West Lafayette,IN,USA","Department of Computer Science, Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University,Department of Computer Science,West Lafayette,IN,USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Department of Computer Science, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111031388","display_name":"Shengqing Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shengqing Xia","raw_affiliation_strings":["Purdue University,Department of Computer Science,West Lafayette,IN,USA","Department of Computer Science, Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University,Department of Computer Science,West Lafayette,IN,USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Department of Computer Science, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059605898","display_name":"Chunyi Peng","orcid":"https://orcid.org/0000-0003-2945-4981"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chunyi Peng","raw_affiliation_strings":["Purdue University,Department of Computer Science,West Lafayette,IN,USA","Department of Computer Science, Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University,Department of Computer Science,West Lafayette,IN,USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Department of Computer Science, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.5548,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75012587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9997000098228455,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9997000098228455,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9995999932289124,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8256725072860718},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.8082659244537354},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.5515857338905334},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5422744154930115},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5339279174804688},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4656413793563843},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.44141268730163574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30881786346435547},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.22695040702819824}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8256725072860718},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.8082659244537354},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.5515857338905334},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5422744154930115},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5339279174804688},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4656413793563843},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.44141268730163574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30881786346435547},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.22695040702819824},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwqos54832.2022.9812896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos54832.2022.9812896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":32,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2029016069","https://openalex.org/W2117539524","https://openalex.org/W2297798746","https://openalex.org/W2525788665","https://openalex.org/W2599379624","https://openalex.org/W2678047256","https://openalex.org/W2794326416","https://openalex.org/W2884367402","https://openalex.org/W2887117815","https://openalex.org/W2896225285","https://openalex.org/W2905207581","https://openalex.org/W2907492528","https://openalex.org/W2963037989","https://openalex.org/W2965289829","https://openalex.org/W3011266864","https://openalex.org/W3046256272","https://openalex.org/W3046754651","https://openalex.org/W3080230561","https://openalex.org/W3096609285","https://openalex.org/W3138516171","https://openalex.org/W3147954149","https://openalex.org/W3191321386","https://openalex.org/W3195657501","https://openalex.org/W3198204252","https://openalex.org/W3213598064","https://openalex.org/W4220693973","https://openalex.org/W6620707391","https://openalex.org/W6697681066","https://openalex.org/W6735636592","https://openalex.org/W6778485988","https://openalex.org/W6804159729"],"related_works":["https://openalex.org/W4389850132","https://openalex.org/W1574724839","https://openalex.org/W2377190948","https://openalex.org/W4361855866","https://openalex.org/W2096476311","https://openalex.org/W169721953","https://openalex.org/W1965900363","https://openalex.org/W1623638113","https://openalex.org/W3034776505","https://openalex.org/W1990036491"],"abstract_inverted_index":{"Edge-assisted":[0],"video":[1,16,33,50,71],"analytics":[2],"is":[3],"gaining":[4],"momentum.":[5],"In":[6],"this":[7],"work,":[8],"we":[9,61,75],"tackle":[10],"an":[11],"important":[12],"problem":[13],"to":[14,23,64,68,93,100],"compress":[15,69],"content":[17],"live":[18],"streamed":[19],"from":[20],"the":[21,24,66,70,106,122,128],"device":[22],"edge":[25],"without":[26],"scarifying":[27],"accuracy":[28],"and":[29,89,98,108],"timeliness":[30],"of":[31,110],"its":[32],"analytics.":[34],"We":[35,104],"find":[36],"that":[37],"on-device":[38,102],"processing":[39],"can":[40],"be":[41],"tuned":[42],"over":[43,116],"a":[44],"larger":[45],"configuration":[46],"space":[47],"for":[48],"more":[49],"compression,":[51],"which":[52],"was":[53],"largely":[54],"overlooked.":[55],"Inspired":[56],"by":[57],"our":[58],"pilot":[59],"study,":[60],"design":[62],"VPPlus":[63,81,120],"fulfill":[65],"potentials":[67],"as":[72,74],"much":[73],"can,":[76],"while":[77],"preserving":[78],"analytical":[79],"accuracy.":[80],"incorporates":[82],"two":[83,117],"core":[84],"modules":[85],"\u2013":[86,92],"offline":[87],"profiling":[88],"online":[90],"adaptation":[91],"generate":[94],"proper":[95],"feedback":[96],"automatically":[97],"quickly":[99],"tune":[101],"processing.":[103],"validate":[105],"effectiveness":[107],"efficiency":[109],"VPPlususing":[111],"five":[112],"object":[113],"detection":[114],"tasks":[115],"popular":[118],"datasets;":[119],"outperforms":[121],"state-of-art":[123],"approaches":[124],"in":[125],"almost":[126],"all":[127],"cases.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
