{"id":"https://openalex.org/W4417249379","doi":"https://doi.org/10.1109/dcis67520.2025.11281932","title":"Video Action Recognition in SoC FPGAs Driven by Neural Architecture Search","display_name":"Video Action Recognition in SoC FPGAs Driven by Neural Architecture Search","publication_year":2025,"publication_date":"2025-11-26","ids":{"openalex":"https://openalex.org/W4417249379","doi":"https://doi.org/10.1109/dcis67520.2025.11281932"},"language":"en","primary_location":{"id":"doi:10.1109/dcis67520.2025.11281932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcis67520.2025.11281932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 40th Conference on Design of Circuits and Integrated Systems (DCIS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repositorio.unican.es/xmlui/bitstream/10902/38565/2/VideoActionRecognition.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002443302","display_name":"Daniel Su\u00e1rez","orcid":"https://orcid.org/0000-0002-5722-4051"},"institutions":[{"id":"https://openalex.org/I13134134","display_name":"Universidad de Cantabria","ror":"https://ror.org/046ffzj20","country_code":"ES","type":"education","lineage":["https://openalex.org/I13134134"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Daniel Su\u00e1rez","raw_affiliation_strings":["Universidad de Cantabria,Microelectronics Engineering Group,Santander,Spain"],"raw_orcid":"https://orcid.org/0000-0002-5722-4051","affiliations":[{"raw_affiliation_string":"Universidad de Cantabria,Microelectronics Engineering Group,Santander,Spain","institution_ids":["https://openalex.org/I13134134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075819214","display_name":"Pedro Hern\u00e1ndez-Fern\u00e1ndez","orcid":"https://orcid.org/0000-0003-3848-2116"},"institutions":[{"id":"https://openalex.org/I119635470","display_name":"Universidad de Las Palmas de Gran Canaria","ror":"https://ror.org/01teme464","country_code":"ES","type":"education","lineage":["https://openalex.org/I119635470"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pedro Hern\u00e1ndez-Fern\u00e1ndez","raw_affiliation_strings":["Institute for Applied Microelectronics, Univ. de Las Palmas de Gran Canaria,Las Palmas de Gran Canaria,Spain"],"raw_orcid":"https://orcid.org/0000-0003-3848-2116","affiliations":[{"raw_affiliation_string":"Institute for Applied Microelectronics, Univ. de Las Palmas de Gran Canaria,Las Palmas de Gran Canaria,Spain","institution_ids":["https://openalex.org/I119635470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025138641","display_name":"V\u00edctor Fern\u00e1ndez","orcid":"https://orcid.org/0000-0003-0614-151X"},"institutions":[{"id":"https://openalex.org/I13134134","display_name":"Universidad de Cantabria","ror":"https://ror.org/046ffzj20","country_code":"ES","type":"education","lineage":["https://openalex.org/I13134134"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"V\u00edctor Fern\u00e1ndez","raw_affiliation_strings":["Universidad de Cantabria,Microelectronics Engineering Group,Santander,Spain"],"raw_orcid":"https://orcid.org/0000-0003-0614-151X","affiliations":[{"raw_affiliation_string":"Universidad de Cantabria,Microelectronics Engineering Group,Santander,Spain","institution_ids":["https://openalex.org/I13134134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037084402","display_name":"Gustavo M. Callic\u00f3","orcid":"https://orcid.org/0000-0002-3784-5504"},"institutions":[{"id":"https://openalex.org/I119635470","display_name":"Universidad de Las Palmas de Gran Canaria","ror":"https://ror.org/01teme464","country_code":"ES","type":"education","lineage":["https://openalex.org/I119635470"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Gustavo M. Callico","raw_affiliation_strings":["Institute for Applied Microelectronics, Univ. de Las Palmas de Gran Canaria,Las Palmas de Gran Canaria,Spain"],"raw_orcid":"https://orcid.org/0000-0002-3784-5504","affiliations":[{"raw_affiliation_string":"Institute for Applied Microelectronics, Univ. de Las Palmas de Gran Canaria,Las Palmas de Gran Canaria,Spain","institution_ids":["https://openalex.org/I119635470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002443302"],"corresponding_institution_ids":["https://openalex.org/I13134134"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38850063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"150","last_page":"155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.4636000096797943,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.4636000096797943,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.15729999542236328,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.052000001072883606,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/pipeline","display_name":"Pipeline (software)","score":0.7476000189781189},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6150000095367432},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6067000031471252},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6011000275611877},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5486000180244446},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5288000106811523},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4763000011444092},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43650001287460327},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.3937999904155731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7699000239372253},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7476000189781189},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6150000095367432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6079000234603882},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6067000031471252},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6011000275611877},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5486000180244446},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5288000106811523},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5005999803543091},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4763000011444092},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43650001287460327},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4334999918937683},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3937999904155731},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3833000063896179},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.37689998745918274},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3492000102996826},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.32679998874664307},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3000999987125397},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.27410000562667847},{"id":"https://openalex.org/C2776221188","wikidata":"https://www.wikidata.org/wiki/Q21072556","display_name":"Design space exploration","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25279998779296875},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dcis67520.2025.11281932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcis67520.2025.11281932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 40th Conference on Design of Circuits and Integrated Systems (DCIS)","raw_type":"proceedings-article"},{"id":"pmh:oai:repositorio.unican.es:10902/38565","is_oa":true,"landing_page_url":"https://hdl.handle.net/10902/38565","pdf_url":"https://repositorio.unican.es/xmlui/bitstream/10902/38565/2/VideoActionRecognition.pdf","source":{"id":"https://openalex.org/S4306400398","display_name":"UCrea (University of Cantabria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13134134","host_organization_name":"Universidad de Cantabria","host_organization_lineage":["https://openalex.org/I13134134"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"40th Conference on Design of Circuits and Integrated Systems, Santander, 2025, 150-155","raw_type":"acceptedVersion"}],"best_oa_location":{"id":"pmh:oai:repositorio.unican.es:10902/38565","is_oa":true,"landing_page_url":"https://hdl.handle.net/10902/38565","pdf_url":"https://repositorio.unican.es/xmlui/bitstream/10902/38565/2/VideoActionRecognition.pdf","source":{"id":"https://openalex.org/S4306400398","display_name":"UCrea (University of Cantabria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13134134","host_organization_name":"Universidad de Cantabria","host_organization_lineage":["https://openalex.org/I13134134"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"40th Conference on Design of Circuits and Integrated Systems, Santander, 2025, 150-155","raw_type":"acceptedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320315062","display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades","ror":null},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4417249379.pdf","grobid_xml":"https://content.openalex.org/works/W4417249379.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,27,42,69],"hardware-aware":[4],"Neural":[5,33,36],"Architecture":[6],"Search":[7],"(NAS)":[8],"framework":[9,118],"for":[10,102],"video-based":[11],"human":[12],"action":[13],"recognition,":[14],"targeting":[15],"real-time":[16],"deployment":[17],"on":[18,85,107],"FPGAbased":[19],"System-on-Chip":[20],"(SoC)":[21],"platforms.":[22],"The":[23,110],"proposed":[24,92,117],"method":[25],"explores":[26],"constrained":[28],"search":[29],"space":[30],"of":[31,115],"Convolutional":[32],"Network":[34,37],"(CNN)-Recurrent":[35],"(RNN)":[38],"architectures":[39,78,93],"aligned":[40],"with":[41],"hardware-software":[43],"pipeline":[44],"where":[45],"CNNs":[46],"are":[47],"mapped":[48],"to":[49,58,76],"FPGA":[50],"Deep":[51],"Learning":[52],"Processing":[53],"Units":[54],"(DPUs)":[55],"and":[56,122],"RNNs":[57],"embedded":[59],"ARM":[60],"cores.":[61],"A":[62],"reinforcement":[63],"learning":[64],"(RL)-based":[65],"controller,":[66],"guided":[67],"by":[68],"position-based":[70],"discounted":[71],"reward":[72],"strategy,":[73],"progressively":[74],"learns":[75],"generate":[77],"that":[79,90],"emphasize":[80],"high-impact":[81],"design":[82],"decisions.":[83],"Experiments":[84],"the":[86,91,99,113,116],"UCF101":[87],"dataset":[88],"demonstrate":[89],"achieve":[94],"81.07":[95],"%":[96],"accuracy,":[97],"among":[98],"highest":[100],"reported":[101],"CNNRNN":[103],"models":[104],"relying":[105],"exclusively":[106],"spatial":[108],"information.":[109],"results":[111],"validate":[112],"effectiveness":[114],"in":[119],"driving":[120],"hardware-compatible":[121],"performance-optimized":[123],"architecture":[124],"exploration.":[125]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-12-11T00:00:00"}