{"id":"https://openalex.org/W2574831181","doi":"https://doi.org/10.1109/apccas.2016.7804044","title":"Pixel-based pipeline hardware architecture for high-performance Haar-like feature extraction","display_name":"Pixel-based pipeline hardware architecture for high-performance Haar-like feature extraction","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2574831181","doi":"https://doi.org/10.1109/apccas.2016.7804044","mag":"2574831181"},"language":"en","primary_location":{"id":"doi:10.1109/apccas.2016.7804044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2016.7804044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","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/A5043263625","display_name":"Yuki Fujita","orcid":"https://orcid.org/0000-0002-7490-258X"},"institutions":[{"id":"https://openalex.org/I183792356","display_name":"Hiroshima University of Economics","ror":"https://ror.org/027b58k10","country_code":"JP","type":"education","lineage":["https://openalex.org/I183792356"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuki Fujita","raw_affiliation_strings":["Hiroshima University, Japan"],"affiliations":[{"raw_affiliation_string":"Hiroshima University, Japan","institution_ids":["https://openalex.org/I183792356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069123107","display_name":"Fengwei An","orcid":"https://orcid.org/0000-0002-7554-7938"},"institutions":[{"id":"https://openalex.org/I183792356","display_name":"Hiroshima University of Economics","ror":"https://ror.org/027b58k10","country_code":"JP","type":"education","lineage":["https://openalex.org/I183792356"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fengwei An","raw_affiliation_strings":["Hiroshima University, Japan"],"affiliations":[{"raw_affiliation_string":"Hiroshima University, Japan","institution_ids":["https://openalex.org/I183792356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003019532","display_name":"Aiwen Luo","orcid":"https://orcid.org/0000-0002-9158-8406"},"institutions":[{"id":"https://openalex.org/I183792356","display_name":"Hiroshima University of Economics","ror":"https://ror.org/027b58k10","country_code":"JP","type":"education","lineage":["https://openalex.org/I183792356"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Aiwen Luo","raw_affiliation_strings":["Hiroshima University, Japan"],"affiliations":[{"raw_affiliation_string":"Hiroshima University, Japan","institution_ids":["https://openalex.org/I183792356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362471","display_name":"Xiangyu Zhang","orcid":"https://orcid.org/0000-0003-3716-4722"},"institutions":[{"id":"https://openalex.org/I183792356","display_name":"Hiroshima University of Economics","ror":"https://ror.org/027b58k10","country_code":"JP","type":"education","lineage":["https://openalex.org/I183792356"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiangyu Zhang","raw_affiliation_strings":["Hiroshima University, Japan"],"affiliations":[{"raw_affiliation_string":"Hiroshima University, Japan","institution_ids":["https://openalex.org/I183792356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333575","display_name":"Lei Chen","orcid":"https://orcid.org/0009-0007-7679-7545"},"institutions":[{"id":"https://openalex.org/I183792356","display_name":"Hiroshima University of Economics","ror":"https://ror.org/027b58k10","country_code":"JP","type":"education","lineage":["https://openalex.org/I183792356"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Hiroshima University, Japan"],"affiliations":[{"raw_affiliation_string":"Hiroshima University, Japan","institution_ids":["https://openalex.org/I183792356"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086404781","display_name":"Hans J\u00fcrgen Mattausch","orcid":"https://orcid.org/0000-0001-5712-1020"},"institutions":[{"id":"https://openalex.org/I183792356","display_name":"Hiroshima University of Economics","ror":"https://ror.org/027b58k10","country_code":"JP","type":"education","lineage":["https://openalex.org/I183792356"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hans Jurgen Mattausch","raw_affiliation_strings":["Hiroshima University, Japan"],"affiliations":[{"raw_affiliation_string":"Hiroshima University, Japan","institution_ids":["https://openalex.org/I183792356"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5043263625"],"corresponding_institution_ids":["https://openalex.org/I183792356"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15904476,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"69","issue":null,"first_page":"611","last_page":"612"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9986000061035156,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/video-graphics-array","display_name":"Video Graphics Array","score":0.8649536371231079},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6949203014373779},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.686758279800415},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6665645837783813},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6202242970466614},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.5768506526947021},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.5277724266052246},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5096344947814941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5093949437141418},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5092827081680298},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.46220800280570984},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4372212886810303},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.38942500948905945},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.22931402921676636},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.22688046097755432},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20267999172210693},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09406420588493347}],"concepts":[{"id":"https://openalex.org/C139983466","wikidata":"https://www.wikidata.org/wiki/Q17194","display_name":"Video Graphics Array","level":3,"score":0.8649536371231079},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6949203014373779},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.686758279800415},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6665645837783813},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6202242970466614},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.5768506526947021},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.5277724266052246},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5096344947814941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5093949437141418},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5092827081680298},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.46220800280570984},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4372212886810303},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.38942500948905945},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.22931402921676636},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.22688046097755432},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20267999172210693},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09406420588493347},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apccas.2016.7804044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2016.7804044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1986830331","https://openalex.org/W2152724437","https://openalex.org/W6637400245"],"related_works":["https://openalex.org/W2360664843","https://openalex.org/W2364087260","https://openalex.org/W2390465755","https://openalex.org/W2094322362","https://openalex.org/W2351631418","https://openalex.org/W2575964431","https://openalex.org/W2383534223","https://openalex.org/W2086672486","https://openalex.org/W2348524279","https://openalex.org/W2776198954"],"abstract_inverted_index":{"Feature":[0],"extraction,":[1,34],"which":[2],"is":[3,118],"one":[4],"of":[5,56,102,111],"the":[6,53,57],"basic":[7],"tasks":[8],"for":[9,31],"pattern":[10],"recognition,":[11],"has":[12],"often":[13],"high":[14],"computational":[15,74],"cost":[16],"and":[17,72,88],"large":[18],"memory":[19],"usage.":[20],"In":[21],"this":[22],"work,":[23],"we":[24],"propose":[25],"a":[26,99],"pixel-based":[27],"pipeline":[28],"hardware":[29],"architecture":[30],"Haar-like":[32],"feature":[33],"implemented":[35],"in":[36,65],"0.18":[37],"\u03bcm":[38],"CMOS":[39],"technology":[40],"with":[41,108],"1.76":[42],"mm":[43],"<sup":[44],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[45],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[46],"core":[47],"area.":[48],"Pixel-input":[49],"speed":[50],"relies":[51],"on":[52],"working":[54],"frequency":[55,91,117],"image":[58,70],"sensor":[59],"so":[60],"that":[61],"features":[62],"are":[63],"extracted":[64],"real":[66],"time":[67,101],"without":[68],"on-chip":[69],"buffer":[71],"complex":[73],"procedures.":[75],"The":[76],"fabricated":[77],"chip":[78],"consumes":[79],"4.78":[80],"mW":[81,113],"power":[82,109],"at":[83,114],"1.8":[84],"V":[85],"supply":[86],"voltage":[87],"12.5":[89],"MHz":[90,116],"during":[92],"30":[93],"fps":[94],"VGA":[95,106],"video":[96],"input.":[97],"Furthermore,":[98],"processing":[100],"3.07":[103],"ms":[104],"per":[105],"frame":[107],"dissipation":[110],"36.25":[112],"100":[115],"possible.":[119]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
