{"id":"https://openalex.org/W4313123837","doi":"https://doi.org/10.1109/iscas48785.2022.9937840","title":"Framework to Benchmark CNNs (FaBCNN) for Processing Real-Time HD Video Streams on FPGAs","display_name":"Framework to Benchmark CNNs (FaBCNN) for Processing Real-Time HD Video Streams on FPGAs","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4313123837","doi":"https://doi.org/10.1109/iscas48785.2022.9937840"},"language":"en","primary_location":{"id":"doi:10.1109/iscas48785.2022.9937840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937840","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5026893474","display_name":"Travis Sandefur","orcid":null},"institutions":[{"id":"https://openalex.org/I63920570","display_name":"Tennessee Technological University","ror":"https://ror.org/05drmrq39","country_code":"US","type":"education","lineage":["https://openalex.org/I63920570"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Travis Sandefur","raw_affiliation_strings":["Tennessee Technological University,Department of Electrical and Computer Engineering,Cookeville,TN,USA,38505"],"affiliations":[{"raw_affiliation_string":"Tennessee Technological University,Department of Electrical and Computer Engineering,Cookeville,TN,USA,38505","institution_ids":["https://openalex.org/I63920570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034599612","display_name":"Syed Rafay Hasan","orcid":"https://orcid.org/0000-0003-0183-8086"},"institutions":[{"id":"https://openalex.org/I63920570","display_name":"Tennessee Technological University","ror":"https://ror.org/05drmrq39","country_code":"US","type":"education","lineage":["https://openalex.org/I63920570"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Syed Rafay Hasan","raw_affiliation_strings":["Tennessee Technological University,Department of Electrical and Computer Engineering,Cookeville,TN,USA,38505"],"affiliations":[{"raw_affiliation_string":"Tennessee Technological University,Department of Electrical and Computer Engineering,Cookeville,TN,USA,38505","institution_ids":["https://openalex.org/I63920570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026893474"],"corresponding_institution_ids":["https://openalex.org/I63920570"],"apc_list":null,"apc_paid":null,"fwci":0.1798,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53792956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"1778","last_page":"1782"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9995999932289124,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9987000226974487,"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":0.8401355743408203},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7231078743934631},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6407381296157837},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49710944294929504},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.47277405858039856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4659358859062195},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.4151208996772766},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4145958423614502},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4090520441532135},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.38799193501472473},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.20965689420700073}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8401355743408203},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7231078743934631},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6407381296157837},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49710944294929504},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47277405858039856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4659358859062195},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.4151208996772766},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4145958423614502},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4090520441532135},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.38799193501472473},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.20965689420700073},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas48785.2022.9937840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937840","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320314786","display_name":"Xilinx","ror":"https://ror.org/01rb7bk56"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1556133104","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2108598243","https://openalex.org/W2143770247","https://openalex.org/W2163605009","https://openalex.org/W2325939864","https://openalex.org/W2801550278","https://openalex.org/W2905522107","https://openalex.org/W2933917628","https://openalex.org/W3047986474","https://openalex.org/W3107366607","https://openalex.org/W3131864390","https://openalex.org/W6639102338","https://openalex.org/W6684191040","https://openalex.org/W6790978699"],"related_works":["https://openalex.org/W2963556241","https://openalex.org/W3038672259","https://openalex.org/W2949389737","https://openalex.org/W2896409332","https://openalex.org/W3135818718","https://openalex.org/W2801801420","https://openalex.org/W3214521593","https://openalex.org/W1895390915","https://openalex.org/W1974588366","https://openalex.org/W2384157887"],"abstract_inverted_index":{"The":[0,122,144],"deployment":[1],"of":[2,36,90,124,163],"Convolutional":[3],"Neural":[4],"Networks":[5],"(CNNs)":[6],"on":[7,103,136,158],"resource-constrained":[8],"edge":[9],"devices":[10],"for":[11],"inference":[12],"is":[13,110,128],"challenging":[14],"due":[15],"to":[16,32,53,79,112,130],"its":[17],"computation,":[18],"memory,":[19],"energy,":[20],"and":[21,40,59,82,97,134,155,167],"bandwidth":[22],"requirements.":[23],"To":[24,86],"address":[25],"these":[26],"issues,":[27],"FPGAs":[28],"are":[29],"commonly":[30],"used":[31],"implement":[33],"CNNs":[34,55,100],"because":[35],"their":[37],"high":[38,65],"flexibility":[39],"low":[41],"power":[42],"consumption.":[43],"This":[44,69],"paper":[45],"proposes":[46],"a":[47,51,75,125,137],"methodology":[48,70,150],"that":[49,148],"provides":[50],"technique":[52],"benchmark":[54],"using":[56],"HDMI":[57,119,132],"input":[58,120],"output":[60,123],"in":[61,74,115],"real-time":[62,116,159],"with":[63],"720p":[64,141],"definition":[66],"(HD)":[67],"resolution.":[68,143],"can":[71,151],"be":[72],"utilized":[73],"classroom":[76],"set":[77],"up":[78],"teach":[80],"CNN":[81,127],"computer":[83],"vision":[84],"fundamentals.":[85],"illustrate":[87],"the":[88,91,104,113],"effectiveness":[89],"proposed":[92],"methodology,":[93],"several":[94],"object":[95,153],"detection":[96,154],"image":[98,156],"classification":[99,157],"were":[101],"deployed":[102],"Xilinx":[105],"ZCU104":[106],"FPGA":[107,114],"board.":[108],"Video":[109],"provided":[111],"from":[117],"an":[118,131],"source.":[121],"given":[126],"converted":[129],"stream":[133],"displayed":[135],"separate":[138],"monitor":[139],"at":[140,161],"HD":[142],"experimental":[145],"results":[146],"show":[147],"this":[149],"perform":[152],"video":[160],"speeds":[162],"around":[164],"10":[165],"FPS":[166],"30":[168],"FPS,":[169],"respectively.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
