{"id":"https://openalex.org/W3006981670","doi":"https://doi.org/10.1109/imcom48794.2020.9001680","title":"Distributed Feature Extraction on Apache Spark for Human Action Recognition","display_name":"Distributed Feature Extraction on Apache Spark for Human Action Recognition","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3006981670","doi":"https://doi.org/10.1109/imcom48794.2020.9001680","mag":"3006981670"},"language":"en","primary_location":{"id":"doi:10.1109/imcom48794.2020.9001680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom48794.2020.9001680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)","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/A5065142942","display_name":"Nguyen Anh Tu","orcid":"https://orcid.org/0000-0002-0650-8169"},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":true,"raw_author_name":"Nguyen Anh Tu","raw_affiliation_strings":["Dept. Computer Science, Nazarbayev University, Nur-Sultan, Republic of Kazakhstan"],"affiliations":[{"raw_affiliation_string":"Dept. Computer Science, Nazarbayev University, Nur-Sultan, Republic of Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059877507","display_name":"Thien Huynh\u2010The","orcid":"https://orcid.org/0000-0002-9172-2935"},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Thien Huynh-The","raw_affiliation_strings":["ICT Convergence Research Center, Kumoh National Institute of Technology, Gumi, South Korea"],"affiliations":[{"raw_affiliation_string":"ICT Convergence Research Center, Kumoh National Institute of Technology, Gumi, South Korea","institution_ids":["https://openalex.org/I113409471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059359253","display_name":"Kok\u2010Seng Wong","orcid":"https://orcid.org/0000-0002-2029-7644"},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Kok-Seng Wong","raw_affiliation_strings":["Dept. Computer Science, Nazarbayev University, Nur-Sultan, Republic of Kazakhstan"],"affiliations":[{"raw_affiliation_string":"Dept. Computer Science, Nazarbayev University, Nur-Sultan, Republic of Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069382462","display_name":"Dinh-Mao Bui","orcid":"https://orcid.org/0000-0001-6118-7129"},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Dinh-Mao Bui","raw_affiliation_strings":["Dept. Computer Science, Nazarbayev University, Nur-Sultan, Republic of Kazakhstan"],"affiliations":[{"raw_affiliation_string":"Dept. Computer Science, Nazarbayev University, Nur-Sultan, Republic of Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039165136","display_name":"Young-Koo Lee","orcid":"https://orcid.org/0000-0003-2314-5395"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Koo Lee","raw_affiliation_strings":["Dept. Computer Science & Engineering, Kyung Hee University, Yongin, South Korea"],"affiliations":[{"raw_affiliation_string":"Dept. Computer Science & Engineering, Kyung Hee University, Yongin, South Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5065142942"],"corresponding_institution_ids":["https://openalex.org/I60559429"],"apc_list":null,"apc_paid":null,"fwci":0.3908,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59877664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"17","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9951000213623047,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9941999912261963,"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":0.8654944896697998},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7282703518867493},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.6872828602790833},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6528526544570923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6268289089202881},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.49511709809303284},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.454059362411499},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.45129889249801636},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4323662519454956},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.41748252511024475},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35883739590644836},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13984280824661255}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8654944896697998},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7282703518867493},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.6872828602790833},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6528526544570923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6268289089202881},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.49511709809303284},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.454059362411499},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.45129889249801636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4323662519454956},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.41748252511024475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35883739590644836},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13984280824661255},{"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/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/imcom48794.2020.9001680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom48794.2020.9001680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W410850256","https://openalex.org/W914561379","https://openalex.org/W1686810756","https://openalex.org/W1944559940","https://openalex.org/W1944615693","https://openalex.org/W1950136256","https://openalex.org/W1984309565","https://openalex.org/W2105101328","https://openalex.org/W2131975293","https://openalex.org/W2142194269","https://openalex.org/W2156303437","https://openalex.org/W2173213060","https://openalex.org/W2185000319","https://openalex.org/W2316303256","https://openalex.org/W2343864402","https://openalex.org/W2472678775","https://openalex.org/W2766574284","https://openalex.org/W2790228532","https://openalex.org/W2792119093","https://openalex.org/W2797862701","https://openalex.org/W2952186347","https://openalex.org/W2963288913","https://openalex.org/W2984509121","https://openalex.org/W6600983433","https://openalex.org/W6614148910","https://openalex.org/W6637373629","https://openalex.org/W6679815717","https://openalex.org/W6682864246","https://openalex.org/W6891802897"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4394895745","https://openalex.org/W2766461310","https://openalex.org/W4247566972","https://openalex.org/W4388692845","https://openalex.org/W3202731209","https://openalex.org/W3211874991","https://openalex.org/W4308507533","https://openalex.org/W2407107767","https://openalex.org/W2901787049"],"abstract_inverted_index":{"Local":[0],"feature":[1,93],"extraction":[2,40,94,193],"is":[3,42,166],"one":[4],"of":[5,35,63,78,106,110],"the":[6,39,64,76,89,97,102,108,132,138,143,148,153,156,162,169,192,197],"most":[7,62],"important":[8],"tasks":[9],"to":[10,55,75,141,172],"build":[11],"robust":[12],"video":[13,52,57,117],"representation":[14,164],"in":[15,21,175],"human":[16],"action":[17,36],"recognition.":[18],"Recent":[19],"advances":[20],"computing":[22,104,111],"visual":[23],"features,":[24,27],"especially":[25],"deep-learned":[26,145],"have":[28],"achieved":[29],"excellent":[30],"performance":[31],"on":[32,50,69,96,147,179],"a":[33,180],"variety":[34],"datasets.":[37],"However,":[38],"process":[41,109,194],"computing-intensive":[43],"and":[44,81,123,195],"extremely":[45],"time-consuming":[46],"when":[47],"conducting":[48],"it":[49],"large-scale":[51],"data.":[53],"Consequently,":[54],"extract":[56,142],"features":[58,112,146,158],"over":[59],"big":[60],"data,":[61],"existing":[65],"methods":[66,187],"that":[67,184],"run":[68],"single":[70],"machine":[71],"become":[72],"inefficient":[73],"due":[74],"limit":[77],"computation":[79],"power":[80],"memory":[82],"capacity.":[83],"In":[84],"this":[85],"paper,":[86],"we":[87,136],"propose":[88],"elastic":[90],"solutions":[91],"for":[92,131],"based":[95],"Spark":[98,149],"framework.":[99],"Particularly,":[100],"exploiting":[101],"in-memory":[103],"capability":[105],"Spark,":[107],"are":[113,159],"parallelized":[114],"by":[115],"partitioning":[116],"data":[118],"into":[119,126,161,168],"videos":[120],"or":[121],"frames":[122],"place":[124],"them":[125],"resilient":[127],"distributed":[128,154],"datasets":[129],"(RDDs)":[130],"subsequent":[133],"processing.":[134],"Then,":[135],"present":[137],"parallel":[139],"algorithms":[140],"state-of-the-art":[144],"cluster.":[150],"Subsequently,":[151],"using":[152],"encoding,":[155],"extracted":[157],"aggregated":[160],"global":[163],"which":[165],"fed":[167],"learned":[170],"classifier":[171],"recognize":[173],"actions":[174],"videos.":[176],"Experimental":[177],"results":[178],"benchmark":[181],"dataset":[182],"demonstrate":[183],"our":[185],"proposed":[186],"can":[188],"significantly":[189],"speed":[190],"up":[191],"achieve":[196],"promising":[198],"scalability":[199],"performance.":[200]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
