{"id":"https://openalex.org/W3109459504","doi":"https://doi.org/10.1109/jiot.2020.3040729","title":"MAGIC: Machine-Learning-Guided Image Compression for Vision Applications in Internet of Things","display_name":"MAGIC: Machine-Learning-Guided Image Compression for Vision Applications in Internet of Things","publication_year":2020,"publication_date":"2020-11-26","ids":{"openalex":"https://openalex.org/W3109459504","doi":"https://doi.org/10.1109/jiot.2020.3040729","mag":"3109459504"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2020.3040729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2020.3040729","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/A5013184572","display_name":"Prabuddha Chakraborty","orcid":"https://orcid.org/0000-0002-5102-4200"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Prabuddha Chakraborty","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036621906","display_name":"Jonathan Cruz","orcid":"https://orcid.org/0000-0002-7404-9259"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Cruz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039442844","display_name":"Swarup Bhunia","orcid":"https://orcid.org/0000-0001-6082-6961"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Swarup Bhunia","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013184572"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":1.0747,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.80241312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":"9","first_page":"7303","last_page":"7315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","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/T10901","display_name":"Advanced Data Compression Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9987999796867371,"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":0.8730539679527283},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.7338109612464905},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.6480162143707275},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6122831702232361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5137189626693726},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.4966617226600647},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.4731120765209198},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.418520987033844},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3710139989852905},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3486754298210144},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1284111738204956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8730539679527283},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.7338109612464905},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.6480162143707275},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6122831702232361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5137189626693726},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.4966617226600647},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.4731120765209198},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.418520987033844},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3710139989852905},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3486754298210144},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1284111738204956}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2020.3040729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2020.3040729","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":[{"display_name":"Zero hunger","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1492380776","https://openalex.org/W1557452405","https://openalex.org/W1596034542","https://openalex.org/W1686810756","https://openalex.org/W2015159529","https://openalex.org/W2060108852","https://openalex.org/W2101234009","https://openalex.org/W2107106521","https://openalex.org/W2107927941","https://openalex.org/W2118217749","https://openalex.org/W2128880484","https://openalex.org/W2500254170","https://openalex.org/W2569436968","https://openalex.org/W2604392022","https://openalex.org/W2752620483","https://openalex.org/W2759601165","https://openalex.org/W2768223511","https://openalex.org/W2789561488","https://openalex.org/W2792447253","https://openalex.org/W2896969435","https://openalex.org/W2897098321","https://openalex.org/W2914440067","https://openalex.org/W2917583897","https://openalex.org/W2963149687","https://openalex.org/W2963449488","https://openalex.org/W2963503375","https://openalex.org/W2963760946","https://openalex.org/W2964098744","https://openalex.org/W2989413245","https://openalex.org/W3097291057","https://openalex.org/W6675354045","https://openalex.org/W6738494155"],"related_works":["https://openalex.org/W4386290264","https://openalex.org/W2021203468","https://openalex.org/W2129829718","https://openalex.org/W2521595930","https://openalex.org/W3206274587","https://openalex.org/W3162084246","https://openalex.org/W3080614128","https://openalex.org/W4243608781","https://openalex.org/W3117054490","https://openalex.org/W2387043686"],"abstract_inverted_index":{"The":[0,157],"emergent":[1],"ecosystems":[2],"of":[3,26,63,91,102,109,186,191,199],"intelligent":[4],"edge":[5],"devices":[6],"in":[7,170,233],"diverse":[8],"Internet-of-Things":[9],"(IoT)":[10],"applications,":[11,50],"from":[12],"automatic":[13],"surveillance":[14],"to":[15,30,71,80,104,140,147,161,226,243],"precision":[16],"agriculture,":[17],"increasingly":[18],"rely":[19],"on":[20,208],"recording":[21],"and":[22,35,83,86,93,100,166,188,203,217,246],"processing":[23],"a":[24,106,126,183],"variety":[25],"image":[27,51,131],"data.":[28],"Due":[29],"resource":[31],"constraints,":[32],"e.g.,":[33],"energy":[34,82],"communication":[36],"bandwidth":[37],"requirements,":[38,122],"these":[39,49,121],"applications":[40,111,211],"require":[41],"compressing":[42,192],"the":[43,64,137,177,194,227],"recorded":[44],"images":[45,237],"before":[46],"transmission.":[47],"For":[48],"compression":[52,76,92,98,132,144,220,234],"commonly":[53],"requires:":[54],"1)":[55],"maintaining":[56,151],"features":[57],"for":[58,67,153],"coarse-grain":[59],"pattern":[60],"recognition":[61],"instead":[62],"high-level":[65],"details":[66],"human":[68],"perception":[69],"due":[70],"machine-to-machine":[72],"communications;":[73],"2)":[74],"high":[75,172],"ratio":[77],"that":[78,134,176],"leads":[79],"improved":[81],"transmission":[84],"efficiency;":[85],"3)":[87],"large":[88],"dynamic":[89],"range":[90,185],"an":[94],"easy":[95],"tradeoff":[96],"between":[97],"factor":[99,197],"quality":[101,139,196],"reconstruction":[103],"accommodate":[105],"wide":[107,184],"diversity":[108],"IoT":[110,210],"as":[112,114,241],"well":[113],"their":[115],"time-varying":[116],"energy/performance":[117],"needs.":[118],"To":[119],"address":[120],"we":[123],"propose,":[124],"MAGIC,":[125],"novel":[127],"machine":[128],"learning":[129],"(ML)-guided":[130],"framework":[133,179],"judiciously":[135],"sacrifices":[136],"visual":[138],"achieve":[141],"much":[142],"higher":[143],"when":[145],"compared":[146,242],"traditional":[148],"techniques,":[149],"while":[150],"accuracy":[152,223],"coarse-grained":[154],"vision":[155,214],"tasks.":[156],"central":[158],"idea":[159],"is":[160,180,189],"capture":[162],"application-specific":[163],"domain":[164],"knowledge":[165],"efficiently":[167],"utilize":[168],"it":[169],"achieving":[171],"compression.":[173],"We":[174,205,229],"demonstrate":[175],"MAGIC":[178],"configurable":[181],"across":[182,236],"compression/quality":[187],"capable":[190],"beyond":[193],"standard":[195],"limits":[198],"both":[200],"JPEG":[201,244],"2000":[202,245],"WebP.":[204,247],"perform":[206],"experiments":[207],"representative":[209],"using":[212,238],"two":[213],"data":[215],"sets":[216],"show":[218],"42.65\u00d7":[219],"at":[221],"similar":[222],"with":[224],"respect":[225],"source.":[228],"highlight":[230],"low":[231],"variance":[232],"rate":[235],"our":[239],"technique":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}