{"id":"https://openalex.org/W4406522811","doi":"https://doi.org/10.1109/tmc.2025.3530950","title":"nCTX: A Neural Network-Powered Lossless Compressive Transmission Using Shared Information","display_name":"nCTX: A Neural Network-Powered Lossless Compressive Transmission Using Shared Information","publication_year":2025,"publication_date":"2025-01-17","ids":{"openalex":"https://openalex.org/W4406522811","doi":"https://doi.org/10.1109/tmc.2025.3530950"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2025.3530950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3530950","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Mobile Computing","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/A5016971968","display_name":"Wooseung Nam","orcid":"https://orcid.org/0000-0001-7366-536X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Wooseung Nam","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101840871","display_name":"Sungyong Lee","orcid":"https://orcid.org/0000-0003-3552-670X"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungyong Lee","raw_affiliation_strings":["Samsung Advanced Institute of Technology, Suwon, South Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology, Suwon, South Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318495","display_name":"Joohyun Lee","orcid":"https://orcid.org/0000-0002-7698-1568"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joohyun Lee","raw_affiliation_strings":["School of Electrical Engineering, Hanyang University, Ansan, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Hanyang University, Ansan, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020806825","display_name":"Kyunghan Lee","orcid":"https://orcid.org/0000-0001-8647-1476"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyunghan Lee","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016971968"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00728833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"6","first_page":"5386","last_page":"5399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9969000220298767,"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":0.8019564151763916},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.652338981628418},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5087648034095764},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4622502028942108},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4600740373134613},{"id":"https://openalex.org/keywords/information-transmission","display_name":"Information transmission","score":0.4449133276939392},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.31500357389450073},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.26511523127555847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2271825671195984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8019564151763916},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.652338981628418},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5087648034095764},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4622502028942108},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4600740373134613},{"id":"https://openalex.org/C2983568541","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Information transmission","level":2,"score":0.4449133276939392},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.31500357389450073},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.26511523127555847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2271825671195984}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2025.3530950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3530950","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1995875735","https://openalex.org/W2024171325","https://openalex.org/W2039843652","https://openalex.org/W2046419776","https://openalex.org/W2060108852","https://openalex.org/W2099111195","https://openalex.org/W2099563019","https://openalex.org/W2108598243","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2423557781","https://openalex.org/W2518435514","https://openalex.org/W2604392022","https://openalex.org/W2741137940","https://openalex.org/W2749908420","https://openalex.org/W2764043458","https://openalex.org/W2765811365","https://openalex.org/W2773706593","https://openalex.org/W2785562966","https://openalex.org/W2946889564","https://openalex.org/W2962891349","https://openalex.org/W2965631471","https://openalex.org/W2972771860","https://openalex.org/W2993989702","https://openalex.org/W3034469748","https://openalex.org/W3034743539","https://openalex.org/W3036851434","https://openalex.org/W3113050802","https://openalex.org/W3134368609","https://openalex.org/W3173794271","https://openalex.org/W3185645081","https://openalex.org/W4206566734","https://openalex.org/W4288083516","https://openalex.org/W6631190155","https://openalex.org/W6634463810","https://openalex.org/W6734831415","https://openalex.org/W6745148473","https://openalex.org/W6745748327","https://openalex.org/W6749271710","https://openalex.org/W6749609952","https://openalex.org/W6755487101","https://openalex.org/W6756754865","https://openalex.org/W6762845226","https://openalex.org/W6763133020","https://openalex.org/W6803277560"],"related_works":["https://openalex.org/W2948148442","https://openalex.org/W2461250372","https://openalex.org/W2394342941","https://openalex.org/W2169853506","https://openalex.org/W2547124190","https://openalex.org/W2350586049","https://openalex.org/W2385628723","https://openalex.org/W2032414556","https://openalex.org/W2169871401","https://openalex.org/W2057878850"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,123],"explore":[4],"the":[5,22,30,35,38,79,82,86,103,119,143,148,157,163,176,189],"possibility":[6],"of":[7,88,105],"a":[8,52,56,126,135],"new":[9],"delivery":[10],"method":[11],"for":[12,48,58],"lossless":[13],"data,":[14,150],"namely":[15],"compressive":[16,95],"transmission.":[17],"It":[18],"aims":[19],"at":[20,26],"minimizing":[21],"transmission":[23,96,177],"data":[24,146],"volume":[25,178],"runtime":[27],"by":[28,180],"exploiting":[29,151],"tailored":[31],"information":[32,47,60,106,153],"shared":[33,46,59,89,152],"between":[34,81],"sender":[36],"and":[37,61,85,114,138,159,182,187],"receiver.":[39],"There":[40],"are":[41],"two":[42],"approaches":[43,70],"to":[44,77,92,121,154,185],"leverage":[45],"compression:":[49],"1)":[50],"using":[51,66],"DNN-based":[53],"codec":[54],"as":[55,99],"proxy":[57],"2)":[62],"applying":[63],"redundancy":[64],"elimination":[65],"deduplication.":[67],"However,":[68],"these":[69,93],"have":[71],"not":[72],"been":[73],"studied":[74],"in":[75,169,194],"depth":[76],"utilize":[78],"trade-off":[80],"compression":[83],"rate":[84],"amount":[87],"information.":[90],"Compared":[91],"approaches,":[94],"is":[97,112],"unique":[98],"it":[100,161],"fully":[101],"leverages":[102],"abundance":[104],"available":[107],"on":[108],"both":[109],"sides,":[110],"which":[111],"chosen":[113],"placed":[115],"purposely.":[116],"To":[117],"bring":[118],"concept":[120],"reality,":[122],"propose":[124],"nCTX,":[125],"neural":[127],"network-powered":[128],"Compressive":[129],"Transmission":[130],"System":[131],"that":[132,173],"adaptively":[133],"exploits":[134],"generative":[136],"model":[137],"matching":[139],"blocks.":[140],"nCTX":[141,174],"extracts":[142],"optimal":[144],"semantic":[145],"from":[147],"input":[149],"closely":[155],"imitate":[156],"original":[158],"compensate":[160],"with":[162],"offset":[164],"(i.e.,":[165],"difference).":[166],"Extensive":[167],"evaluations":[168],"mobile":[170],"platforms":[171],"confirm":[172],"reduces":[175],"significantly":[179],"25.8%":[181],"23.3%":[183],"compared":[184],"FLIF":[186],"RC,":[188],"state-of-the-art":[190],"image":[191],"codecs,":[192],"respectively,":[193],"comparable":[195],"or":[196],"shorter":[197],"computation":[198],"times.":[199]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
