{"id":"https://openalex.org/W1971509102","doi":"https://doi.org/10.1109/vlsi-soc.2013.6673240","title":"A real-time 720p feature extraction core based on Semantic Kernels Binarized","display_name":"A real-time 720p feature extraction core based on Semantic Kernels Binarized","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W1971509102","doi":"https://doi.org/10.1109/vlsi-soc.2013.6673240","mag":"1971509102"},"language":"en","primary_location":{"id":"doi:10.1109/vlsi-soc.2013.6673240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc.2013.6673240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration (VLSI-SoC)","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/A5048307575","display_name":"Michael Schaffner","orcid":"https://orcid.org/0000-0002-3244-2693"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Michael Schaffner","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland","ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004829298","display_name":"Pascal Alexander Hager","orcid":"https://orcid.org/0000-0001-5398-3360"},"institutions":[{"id":"https://openalex.org/I4210137357","display_name":"Walt Disney (Switzerland)","ror":"https://ror.org/04h1x1p54","country_code":"CH","type":"company","lineage":["https://openalex.org/I4210137357","https://openalex.org/I4210142140"]},{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Pascal Hager","raw_affiliation_strings":["Disney Research Zurich, Switzerland","ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Disney Research Zurich, Switzerland","institution_ids":["https://openalex.org/I4210137357"]},{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025399641","display_name":"Lukas Cavigelli","orcid":"https://orcid.org/0000-0003-1767-7715"},"institutions":[{"id":"https://openalex.org/I4210137357","display_name":"Walt Disney (Switzerland)","ror":"https://ror.org/04h1x1p54","country_code":"CH","type":"company","lineage":["https://openalex.org/I4210137357","https://openalex.org/I4210142140"]},{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Lukas Cavigelli","raw_affiliation_strings":["Disney Research Zurich, Switzerland","ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Disney Research Zurich, Switzerland","institution_ids":["https://openalex.org/I4210137357"]},{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024602684","display_name":"Pierre Greisen","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I4210137357","display_name":"Walt Disney (Switzerland)","ror":"https://ror.org/04h1x1p54","country_code":"CH","type":"company","lineage":["https://openalex.org/I4210137357","https://openalex.org/I4210142140"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Pierre Greisen","raw_affiliation_strings":["Disney Research Zurich, Switzerland","ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Disney Research Zurich, Switzerland","institution_ids":["https://openalex.org/I4210137357"]},{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055101588","display_name":"Frank K. G\u00fcrkaynak","orcid":"https://orcid.org/0000-0002-8476-554X"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Frank K. Gurkaynak","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland","ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057947990","display_name":"Hubert Kaeslin","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Hubert Kaeslin","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland","ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048307575"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":0.2722,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56426658,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5305","issue":null,"first_page":"27","last_page":"32"},"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":0.9998999834060669,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.7243452072143555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6354199647903442},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5916006565093994},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5504393577575684},{"id":"https://openalex.org/keywords/application-specific-integrated-circuit","display_name":"Application-specific integrated circuit","score":0.49045678973197937},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4721947908401489},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.43652352690696716},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.41105154156684875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3900271952152252},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18812185525894165},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.13352671265602112}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7243452072143555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6354199647903442},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5916006565093994},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5504393577575684},{"id":"https://openalex.org/C77390884","wikidata":"https://www.wikidata.org/wiki/Q217302","display_name":"Application-specific integrated circuit","level":2,"score":0.49045678973197937},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4721947908401489},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.43652352690696716},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.41105154156684875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3900271952152252},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18812185525894165},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.13352671265602112},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vlsi-soc.2013.6673240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc.2013.6673240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration (VLSI-SoC)","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":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1491719799","https://openalex.org/W1533496907","https://openalex.org/W1677409904","https://openalex.org/W1968431658","https://openalex.org/W1982935629","https://openalex.org/W1995266040","https://openalex.org/W2002303850","https://openalex.org/W2003920705","https://openalex.org/W2067629780","https://openalex.org/W2076484353","https://openalex.org/W2106779238","https://openalex.org/W2125313965","https://openalex.org/W2126919075","https://openalex.org/W2133255058","https://openalex.org/W2136197424","https://openalex.org/W2141584146","https://openalex.org/W2151103935","https://openalex.org/W2155479981","https://openalex.org/W2158059210","https://openalex.org/W2164598857","https://openalex.org/W2177274842","https://openalex.org/W2941610626"],"related_works":["https://openalex.org/W2165367082","https://openalex.org/W1972641423","https://openalex.org/W2111241003","https://openalex.org/W611446063","https://openalex.org/W4200391368","https://openalex.org/W2355315220","https://openalex.org/W1485756991","https://openalex.org/W2376218453","https://openalex.org/W2984236338","https://openalex.org/W2170058895"],"abstract_inverted_index":{"Several":[0],"image":[1,111,118],"processing":[2,162],"applications":[3],"rely":[4],"on":[5,69],"a":[6,17,70,114,141,152,165,174],"sparse":[7,18,175],"set":[8],"of":[9,23,107,143,155],"correspondence":[10],"points":[11,65,182],"between":[12,183],"stereo":[13,169],"images":[14,187],"to":[15,30,58,61,92,125],"discern":[16],"but":[19,35],"robust":[20],"depth":[21,176],"structure":[22],"the":[24,75,85,94,98,108,127,160],"scene.":[25],"There":[26],"exist":[27],"several":[28],"methods":[29],"extract":[31],"and":[32,41,139,158,185],"match":[33],"correspondences,":[34],"they":[36],"are":[37],"all":[38],"computationally":[39],"extensive":[40],"require":[42],"significant":[43],"memory":[44,86],"bandwidths.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49,112],"describe":[50],"an":[51,89,121],"efficient":[52],"ASIC":[53,131],"core":[54,132],"that":[55,172],"is":[56,133,159],"able":[57],"detect":[59],"up":[60],"25":[62],"k":[63],"interest":[64,99,181],"in":[66,97,135,188],"real":[67,189],"time":[68],"720p":[71],"video":[72],"stream":[73],"using":[74],"recently":[76],"proposed":[77],"Semantic":[78],"Kernels":[79],"Binarized":[80],"(SKB)":[81],"algorithm.":[82],"To":[83],"keep":[84],"bandwidth":[87],"low,":[88],"optimized":[90],"method":[91],"calculate":[93,126],"filter":[95],"responses":[96],"point":[100],"detection":[101],"stage":[102],"has":[103,140,151],"been":[104],"devised.":[105],"Instead":[106],"2D":[109],"integral":[110,117],"use":[113],"local":[115],"1D":[116],"combined":[119],"with":[120],"incremental":[122],"updating":[123],"scheme":[124],"box":[128],"filters.":[129],"The":[130],"manufactured":[134],"180":[136],"nm":[137],"technology":[138],"complexity":[142],"254":[144],"kGE.":[145],"It":[146],"runs":[147],"at":[148],"100":[149],"MHz,":[150],"power":[153],"dissipation":[154],"184":[156],"mW":[157],"central":[161],"block":[163],"for":[164],"larger":[166],"FPGA":[167],"based":[168],"vision":[170],"system":[171],"calculates":[173],"map":[177],"by":[178],"locating":[179],"corresponding":[180],"left":[184],"right":[186],"time.":[190]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
