{"id":"https://openalex.org/W3134280004","doi":"https://doi.org/10.1109/jiot.2021.3052016","title":"Compressing CNNs Using Multilevel Filter Pruning for the Edge Nodes of Multimedia Internet of Things","display_name":"Compressing CNNs Using Multilevel Filter Pruning for the Edge Nodes of Multimedia Internet of Things","publication_year":2021,"publication_date":"2021-02-25","ids":{"openalex":"https://openalex.org/W3134280004","doi":"https://doi.org/10.1109/jiot.2021.3052016","mag":"3134280004"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2021.3052016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2021.3052016","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5100736373","display_name":"Xingang Liu","orcid":"https://orcid.org/0000-0003-4881-0216"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingang Liu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-4881-0216","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001072873","display_name":"Lishuai Wu","orcid":"https://orcid.org/0000-0001-8314-0460"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lishuai Wu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-8314-0460","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050167068","display_name":"Cheng Dai","orcid":"https://orcid.org/0000-0003-2860-4589"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Dai","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102824651","display_name":"Han\u2010Chieh Chao","orcid":"https://orcid.org/0000-0003-3222-1708"},"institutions":[{"id":"https://openalex.org/I33096239","display_name":"National Dong Hwa University","ror":"https://ror.org/00mng9617","country_code":"TW","type":"education","lineage":["https://openalex.org/I33096239"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Han-Chieh Chao","raw_affiliation_strings":["Department of Electrical Engineering, National Dong Hwa University, Taiwan, China"],"raw_orcid":"https://orcid.org/0000-0003-3222-1708","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Dong Hwa University, Taiwan, China","institution_ids":["https://openalex.org/I33096239"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5075,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.84270036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":"14","first_page":"11041","last_page":"11051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9976999759674072,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9970999956130981,"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":0.8622845411300659},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6686410903930664},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6386915445327759},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5799260139465332},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5371533036231995},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5122098326683044},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.49024587869644165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48836252093315125},{"id":"https://openalex.org/keywords/floating-point","display_name":"Floating point","score":0.45904818177223206},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.404421329498291},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2990446090698242},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2979099750518799}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8622845411300659},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6686410903930664},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6386915445327759},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5799260139465332},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5371533036231995},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5122098326683044},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.49024587869644165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48836252093315125},{"id":"https://openalex.org/C84211073","wikidata":"https://www.wikidata.org/wiki/Q117879","display_name":"Floating point","level":2,"score":0.45904818177223206},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.404421329498291},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2990446090698242},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2979099750518799},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2021.3052016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2021.3052016","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G1016972821","display_name":"\u590d\u6742\u573a\u666f\u4e0b\u4f53\u6001\u6df1\u5ea6\u8bc6\u522b\u7cfb\u7edf\u67b6\u6784\u53ca\u6838\u5fc3\u7b97\u6cd5\u7684\u7814\u7a76","funder_award_id":"61872404","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1405012328","display_name":null,"funder_award_id":"2018JY0023","funder_id":"https://openalex.org/F4320322922","funder_display_name":"Department of Science and Technology of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322922","display_name":"Department of Science and Technology of Sichuan Province","ror":"https://ror.org/04323m874"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1600276254","https://openalex.org/W1686810756","https://openalex.org/W2022020111","https://openalex.org/W2058401212","https://openalex.org/W2112796928","https://openalex.org/W2114766824","https://openalex.org/W2125389748","https://openalex.org/W2145085734","https://openalex.org/W2161591461","https://openalex.org/W2279098554","https://openalex.org/W2495425901","https://openalex.org/W2605229985","https://openalex.org/W2612445135","https://openalex.org/W2618530766","https://openalex.org/W2619444510","https://openalex.org/W2701719801","https://openalex.org/W2707890836","https://openalex.org/W2759530082","https://openalex.org/W2788653909","https://openalex.org/W2808166015","https://openalex.org/W2808168148","https://openalex.org/W2883111419","https://openalex.org/W2900225090","https://openalex.org/W2945599671","https://openalex.org/W2952899695","https://openalex.org/W2962851801","https://openalex.org/W2962965870","https://openalex.org/W2963000224","https://openalex.org/W2963145730","https://openalex.org/W2963363373","https://openalex.org/W2963674932","https://openalex.org/W2963981420","https://openalex.org/W2970958999","https://openalex.org/W2979723138","https://openalex.org/W2995978786","https://openalex.org/W3013057819","https://openalex.org/W3041002177","https://openalex.org/W3044683644","https://openalex.org/W3084371909","https://openalex.org/W3102762242","https://openalex.org/W3118608800","https://openalex.org/W3149802657","https://openalex.org/W4297775537","https://openalex.org/W6637373629","https://openalex.org/W6677103964","https://openalex.org/W6678583879","https://openalex.org/W6683826617","https://openalex.org/W6724998850","https://openalex.org/W6725543821","https://openalex.org/W6726275242","https://openalex.org/W6739917289","https://openalex.org/W6753040593","https://openalex.org/W6768951905"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W4313463218","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4312996489","https://openalex.org/W3214037210"],"abstract_inverted_index":{"Multimedia":[0],"Internet-of-Things":[1],"(IoT)":[2],"systems":[3],"have":[4,63],"been":[5],"widely":[6],"utilized":[7],"in":[8,39],"various":[9],"computer":[10,16],"vision":[11,17],"tasks":[12],"and":[13,18,48,67,77,177,185,191],"significantly":[14],"integrated":[15],"networking":[19],"capabilities.":[20],"In":[21,69,200],"these":[22],"systems,":[23],"convolutional":[24,118],"neural":[25],"networks":[26],"(CNNs)":[27],"perform":[28,111],"a":[29,81,99],"preliminary":[30,112],"analysis":[31],"of":[32,52,94,117,125,134,147],"the":[33,40,44,53,89,92,115,122,131,145,152,160,168,201,204,208,214],"collected":[34],"video":[35],"or":[36],"image":[37,132],"information":[38],"edge":[41,96],"devices.":[42],"However,":[43],"high":[45],"computational":[46,65],"cost":[47],"huge":[49],"storage":[50,194],"consumption":[51],"complex":[54],"CNNs":[55,79],"prevent":[56],"their":[57],"deployment":[58],"on":[59,91,183,198],"mobile-edge":[60],"devices":[61],"that":[62,167],"limited":[64],"resource":[66],"memory.":[68],"this":[70],"article,":[71],"we":[72],"aim":[73],"to":[74,87,110,141,158],"simultaneously":[75],"accelerate":[76],"compress":[78],"via":[80],"multilevel":[82],"filter":[83,127,148],"pruning":[84,101,113,143,216],"(MFP)":[85],"algorithm,":[86],"alleviate":[88],"dependence":[90],"hardware":[93],"IoT":[95],"nodes.":[97],"First,":[98],"global":[100],"sensitivity":[102],"order":[103],"is":[104,128,156],"defined,":[105],"which":[106,139],"could":[107,172,206],"guide":[108],"us":[109],"from":[114,144],"perspective":[116,146],"layers'":[119],"sensitivity.":[120],"Then,":[121],"functional":[123],"index":[124],"each":[126],"judged":[129],"by":[130],"entropy":[133],"its":[135],"output":[136],"feature":[137],"map,":[138],"contributes":[140],"further":[142],"function":[149],"importance.":[150],"Finally,":[151],"moderate":[153],"fine":[154],"tuning":[155],"adopted":[157],"recover":[159,207],"network":[161,209],"capability.":[162],"The":[163],"experimental":[164],"results":[165],"show":[166],"proposed":[169],"MFP":[170],"algorithm":[171,205],"reduce":[173],"54.5%":[174],"floating-point":[175,189],"operations":[176],"31.9%":[178],"graphics":[179],"memory":[180],"for":[181,196],"VGG-16":[182,197],"CIFAR-10,":[184],"achieve":[186],"5.45":[187],"\u00d7":[188,193],"acceleration":[190],"19.70":[192],"reduction":[195],"ImageNet.":[199],"reconstruction":[202],"phase,":[203],"capability":[210],"much":[211],"faster":[212],"than":[213],"existing":[215],"algorithms.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
