{"id":"https://openalex.org/W2793986675","doi":"https://doi.org/10.1109/globalsip.2017.8308597","title":"Parallel video processing using embedded computers","display_name":"Parallel video processing using embedded computers","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2793986675","doi":"https://doi.org/10.1109/globalsip.2017.8308597","mag":"2793986675"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2017.8308597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2017.8308597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5101458742","display_name":"Bo Fu","orcid":"https://orcid.org/0000-0002-0009-7223"},"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":true,"raw_author_name":"Bo Fu","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102882137","display_name":"Anup Mohan","orcid":"https://orcid.org/0000-0001-5492-483X"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anup Mohan","raw_affiliation_strings":["Intel Corporation, Santa Clara, CA"],"affiliations":[{"raw_affiliation_string":"Intel Corporation, Santa Clara, CA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427048","display_name":"Yifan Li","orcid":"https://orcid.org/0000-0002-9526-2243"},"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":"Yifan Li","raw_affiliation_strings":["Purdue University System, West Lafayette, IN, US"],"affiliations":[{"raw_affiliation_string":"Purdue University System, West Lafayette, IN, US","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101876694","display_name":"Sanghyun Cho","orcid":"https://orcid.org/0000-0001-5441-4397"},"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":"Sanghyun Cho","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024438413","display_name":"Kent Gauen","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":"Kent Gauen","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016258301","display_name":"Yung-Hsiang Lu","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":"Yung-Hsiang Lu","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101458742"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.2731,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66362211,"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":"26","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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":0.8771752119064331},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7795215845108032},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.6590201258659363},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5973466634750366},{"id":"https://openalex.org/keywords/stream-processing","display_name":"Stream processing","score":0.5337342619895935},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5312936902046204},{"id":"https://openalex.org/keywords/parallel-processing","display_name":"Parallel processing","score":0.5091819167137146},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5053861141204834},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48882123827934265},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4764854609966278},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.46837812662124634},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4187198877334595},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4145219922065735},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.31767839193344116},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.30803942680358887},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3024108409881592},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17851728200912476},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11928319931030273},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07896238565444946}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8771752119064331},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7795215845108032},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.6590201258659363},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5973466634750366},{"id":"https://openalex.org/C107027933","wikidata":"https://www.wikidata.org/wiki/Q2006448","display_name":"Stream processing","level":2,"score":0.5337342619895935},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5312936902046204},{"id":"https://openalex.org/C106515295","wikidata":"https://www.wikidata.org/wiki/Q26806595","display_name":"Parallel processing","level":2,"score":0.5091819167137146},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5053861141204834},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48882123827934265},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4764854609966278},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.46837812662124634},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4187198877334595},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4145219922065735},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.31767839193344116},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.30803942680358887},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3024108409881592},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17851728200912476},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11928319931030273},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07896238565444946},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2017.8308597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2017.8308597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8500000238418579}],"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":13,"referenced_works":["https://openalex.org/W1598357442","https://openalex.org/W1677409904","https://openalex.org/W1941638894","https://openalex.org/W1997384493","https://openalex.org/W2007047977","https://openalex.org/W2029742464","https://openalex.org/W2111644456","https://openalex.org/W2124386111","https://openalex.org/W2128391748","https://openalex.org/W2130593421","https://openalex.org/W2148442626","https://openalex.org/W2511033036","https://openalex.org/W2581153800"],"related_works":["https://openalex.org/W2558546511","https://openalex.org/W2971894545","https://openalex.org/W2592539811","https://openalex.org/W2116516796","https://openalex.org/W2105866763","https://openalex.org/W43314282","https://openalex.org/W2066437725","https://openalex.org/W2060767568","https://openalex.org/W2108810703","https://openalex.org/W2088194547"],"abstract_inverted_index":{"As":[0],"frame":[1],"rates":[2],"and":[3,130,145],"resolutions":[4],"of":[5,66,83,128],"video":[6,13,56,78,95,98],"streams":[7,79],"increase,":[8],"a":[9,67,88],"need":[10],"for":[11,90],"parallel":[12,94],"processing":[14],"emerges.":[15],"Most":[16],"studies":[17],"offload":[18],"computation":[19],"to":[20,46,132,140],"the":[21,48,63,81,126],"cloud,":[22],"but":[23,71],"this":[24],"is":[25,45,100],"not":[26],"always":[27],"possible.":[28],"For":[29],"example,":[30],"solar-powered":[31],"cameras":[32],"can":[33,117],"be":[34,118],"deployed":[35],"in":[36,93,143,148],"locations":[37],"away":[38],"from":[39],"power":[40],"grids.":[41],"A":[42,97],"better":[43],"choice":[44],"process":[47],"data":[49],"locally":[50],"on":[51,106,125],"embedded":[52,69,108],"computers":[53],"without":[54],"raw":[55],"transmission":[57],"through":[58],"networks.":[59],"Parallel":[60],"computing":[61],"alleviates":[62],"performance":[64],"bottleneck":[65],"single":[68],"computer":[70],"it":[72],"degrades":[73],"analysis":[74],"accuracy":[75,92,144],"because":[76],"partitioning":[77],"breaks":[80],"continuity":[82],"motion.":[84],"This":[85],"paper":[86],"presents":[87],"solution":[89],"maintaining":[91],"processing.":[96],"stream":[99],"divided":[101],"into":[102],"multiple":[103],"segments":[104,111],"processed":[105],"different":[107],"computers.":[109],"The":[110,120],"overlap":[112],"so":[113],"that":[114],"continuous":[115],"motion":[116],"detected.":[119],"system":[121],"balances":[122],"workload":[123],"based":[124],"speed":[127],"GPU":[129],"CPU":[131],"reduce":[133],"execution":[134,149],"time.":[135,150],"Experimental":[136],"results":[137],"show":[138],"up":[139],"82.6%":[141],"improvement":[142],"58%":[146],"reduction":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}