{"id":"https://openalex.org/W2902351869","doi":"https://doi.org/10.1587/transinf.2018pap0004","title":"Real-Time and Energy-Efficient Face Detection on CPU-GPU Heterogeneous Embedded Platforms","display_name":"Real-Time and Energy-Efficient Face Detection on CPU-GPU Heterogeneous Embedded Platforms","publication_year":2018,"publication_date":"2018-11-30","ids":{"openalex":"https://openalex.org/W2902351869","doi":"https://doi.org/10.1587/transinf.2018pap0004","mag":"2902351869"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2018pap0004","is_oa":true,"landing_page_url":"http://doi.org/10.1587/transinf.2018pap0004","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E101.D/12/E101.D_2018PAP0004/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E101.D/12/E101.D_2018PAP0004/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063943906","display_name":"Chanyoung Oh","orcid":"https://orcid.org/0000-0003-2877-1141"},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chanyoung OH","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Seoul"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Seoul","institution_ids":["https://openalex.org/I124633538"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063672817","display_name":"Saehanseul Yi","orcid":"https://orcid.org/0000-0002-3856-0113"},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Saehanseul YI","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Seoul"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Seoul","institution_ids":["https://openalex.org/I124633538"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029634385","display_name":"Youngmin Yi","orcid":"https://orcid.org/0000-0001-9802-2109"},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngmin YI","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Seoul"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Seoul","institution_ids":["https://openalex.org/I124633538"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I124633538"],"apc_list":null,"apc_paid":null,"fwci":0.2081,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56776429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"E101.D","issue":"12","first_page":"2878","last_page":"2888"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9021000266075134,"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/T10057","display_name":"Face and Expression Recognition","score":0.9021000266075134,"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":0.8928177356719971},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5494410991668701},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5202987790107727},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.5034543871879578},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.44037196040153503},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.41130414605140686},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.41035887598991394},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.39982765913009644},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.2280355989933014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21221739053726196},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.12124571204185486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8928177356719971},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5494410991668701},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5202987790107727},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.5034543871879578},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.44037196040153503},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.41130414605140686},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.41035887598991394},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.39982765913009644},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.2280355989933014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21221739053726196},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.12124571204185486},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2018pap0004","is_oa":true,"landing_page_url":"http://doi.org/10.1587/transinf.2018pap0004","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E101.D/12/E101.D_2018PAP0004/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2018pap0004","is_oa":true,"landing_page_url":"http://doi.org/10.1587/transinf.2018pap0004","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E101.D/12/E101.D_2018PAP0004/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8600000143051147,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2902351869.pdf","grobid_xml":"https://content.openalex.org/works/W2902351869.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1506206839","https://openalex.org/W1968130443","https://openalex.org/W1971784232","https://openalex.org/W1975336500","https://openalex.org/W2000199097","https://openalex.org/W2022673945","https://openalex.org/W2033656611","https://openalex.org/W2051785559","https://openalex.org/W2059892913","https://openalex.org/W2060293550","https://openalex.org/W2064540015","https://openalex.org/W2068710903","https://openalex.org/W2090066236","https://openalex.org/W2097071547","https://openalex.org/W2098606213","https://openalex.org/W2105827278","https://openalex.org/W2108113956","https://openalex.org/W2121800009","https://openalex.org/W2126349935","https://openalex.org/W2148064792","https://openalex.org/W2159911284","https://openalex.org/W2163808566","https://openalex.org/W2164598857","https://openalex.org/W2523540745","https://openalex.org/W2571531433","https://openalex.org/W3143675127","https://openalex.org/W4240151473","https://openalex.org/W4254183783"],"related_works":["https://openalex.org/W2011840458","https://openalex.org/W3213381848","https://openalex.org/W2017587301","https://openalex.org/W2005148983","https://openalex.org/W2030707850","https://openalex.org/W4386975487","https://openalex.org/W2096672917","https://openalex.org/W2009169896","https://openalex.org/W2392023973","https://openalex.org/W2939411666"],"abstract_inverted_index":{"As":[0],"energy":[1,87,120,144,216,240],"efficiency":[2,121],"has":[3],"become":[4],"a":[5,65,94,103,123],"major":[6],"design":[7,159,167],"constraint":[8],"or":[9],"objective,":[10],"heterogeneous":[11,46,74,106,153,193],"manycore":[12],"architectures":[13],"have":[14],"emerged":[15],"as":[16,33,42,44,50,177],"mainstream":[17],"target":[18],"platforms":[19],"not":[20,172],"only":[21,173],"in":[22,27,39,55,158],"server":[23,66],"systems":[24],"but":[25,181],"also":[26,37,182],"embedded":[28,40,57,107],"systems.":[29],"Manycore":[30],"accelerators":[31],"such":[32,176],"GPUs":[34,78],"are":[35,156,195],"getting":[36],"popular":[38],"domains,":[41],"well":[43],"the":[45,51,81,85,129,136,163,188,208,212,228,232,244,250],"CPU":[47],"cores.":[48],"However,":[49],"number":[52],"of":[53,64,97,132,201,211],"cores":[54],"an":[56],"GPU":[58,137],"is":[59,69,169],"far":[60],"less":[61,239],"than":[62],"that":[63],"GPU,":[67],"it":[68],"important":[70],"to":[71,79,117,243],"utilize":[72],"both":[73,111,147],"multi-core":[75],"CPUs":[76],"and":[77,114,143,149,179,215,222],"achieve":[80,118,237],"desired":[82],"throughput":[83],"with":[84,122,231],"minimal":[86],"consumption.":[88],"In":[89,197],"this":[90],"paper,":[91],"we":[92,140,235],"present":[93,128],"case":[95,199],"study":[96,200],"mapping":[98],"LBP-based":[99],"face":[100,203],"detection":[101,204],"onto":[102],"recent":[104],"CPU-GPU":[105,178],"platform,":[108],"which":[109,155],"exploits":[110],"task":[112,134],"parallelism":[113,116],"data":[115,184],"maximal":[119],"real-time":[124,251],"constraint.":[125,252],"We":[126],"first":[127],"parallelization":[130],"technique":[131],"each":[133],"for":[135,146,162,187],"execution,":[138],"then":[139],"propose":[141],"performance":[142,214],"models":[145,217],"task-parallel":[148],"data-parallel":[150,189],"executions":[151],"on":[152,191,205,219],"processors,":[154],"used":[157],"space":[160,168],"exploration":[161],"optimal":[164,229],"mapping.":[165],"The":[166],"huge":[170],"since":[171],"processor":[174],"heterogeneity":[175],"big.LITTLE,":[180],"various":[183],"partitioning":[185],"ratios":[186],"execution":[190],"these":[192],"processors":[194],"considered.":[196],"our":[198],"LBP":[202],"Exynos":[206],"5422,":[207],"estimation":[209],"error":[210],"proposed":[213,233],"were":[218],"average":[220],"-2.19%":[221],"-3.67%":[223],"respectively.":[224],"By":[225],"systematically":[226],"finding":[227],"mappings":[230],"models,":[234],"could":[236],"28.6%":[238],"consumption":[241],"compared":[242],"manual":[245],"mapping,":[246],"while":[247],"still":[248],"meeting":[249]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
