{"id":"https://openalex.org/W4316661088","doi":"https://doi.org/10.1109/tmm.2023.3237325","title":"FedLive: A Federated Transmission Framework for Panoramic Livecast With Reinforced Variational Inference","display_name":"FedLive: A Federated Transmission Framework for Panoramic Livecast With Reinforced Variational Inference","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4316661088","doi":"https://doi.org/10.1109/tmm.2023.3237325"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3237325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3237325","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Transactions on Multimedia","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/A5101729747","display_name":"Xingyan Chen","orcid":"https://orcid.org/0000-0003-0861-2100"},"institutions":[{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyan Chen","raw_affiliation_strings":["Financial Intelligence and Financial Engineering Key Laboratory of Sichuan Province, Institute of Digital Economy and Interdisciplinary Science Innovation, School of Computer and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-0861-2100","affiliations":[{"raw_affiliation_string":"Financial Intelligence and Financial Engineering Key Laboratory of Sichuan Province, Institute of Digital Economy and Interdisciplinary Science Innovation, School of Computer and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, China","institution_ids":["https://openalex.org/I204831749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101730758","display_name":"Mu Wang","orcid":"https://orcid.org/0000-0003-1147-911X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mu Wang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1147-911X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069646989","display_name":"Changqiao Xu","orcid":"https://orcid.org/0000-0003-1467-1086"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changqiao Xu","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1467-1086","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100660064","display_name":"Yu Zhao","orcid":"https://orcid.org/0000-0002-8454-0025"},"institutions":[{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhao","raw_affiliation_strings":["Financial Intelligence and Financial Engineering Key Laboratory of Sichuan Province, Institute of Digital Economy and Interdisciplinary Science Innovation, School of Computer and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8454-0025","affiliations":[{"raw_affiliation_string":"Financial Intelligence and Financial Engineering Key Laboratory of Sichuan Province, Institute of Digital Economy and Interdisciplinary Science Innovation, School of Computer and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, China","institution_ids":["https://openalex.org/I204831749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044191416","display_name":"Shujie Yang","orcid":"https://orcid.org/0000-0002-9597-2659"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Shujie","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090893698","display_name":"Ke Jiang","orcid":"https://orcid.org/0000-0002-2642-7948"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Jiang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100734609","display_name":"Qing Li","orcid":"https://orcid.org/0000-0002-6071-473X"},"institutions":[{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["Financial Intelligence and Financial Engineering Key Laboratory of Sichuan Province, Institute of Digital Economy and Interdisciplinary Science Innovation, School of Computer and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Financial Intelligence and Financial Engineering Key Laboratory of Sichuan Province, Institute of Digital Economy and Interdisciplinary Science Innovation, School of Computer and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, China","institution_ids":["https://openalex.org/I204831749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012513623","display_name":"Lujie Zhong","orcid":"https://orcid.org/0000-0002-2111-0896"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lujie Zhong","raw_affiliation_strings":["Information Engineering College, Capital Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2111-0896","affiliations":[{"raw_affiliation_string":"Information Engineering College, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050234051","display_name":"Gabriel\u2010Miro Muntean","orcid":"https://orcid.org/0000-0002-9332-4770"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Gabriel-Miro Muntean","raw_affiliation_strings":["School of Electronic Engineering, Dublin City University, Glasnevin, Dublin, Ireland"],"raw_orcid":"https://orcid.org/0000-0002-9332-4770","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Dublin City University, Glasnevin, Dublin, Ireland","institution_ids":["https://openalex.org/I42934936"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8509,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74122778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"25","issue":null,"first_page":"8471","last_page":"8486"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9865999817848206,"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/T11478","display_name":"Caching and Content Delivery","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.678536057472229},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5428621172904968},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.48684853315353394},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.4507213234901428},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4446907639503479},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40239235758781433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4020800292491913},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10616165399551392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.678536057472229},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5428621172904968},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.48684853315353394},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.4507213234901428},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4446907639503479},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40239235758781433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4020800292491913},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10616165399551392},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/tmm.2023.3237325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3237325","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G186637028","display_name":"\u7a0b\u5e8f\u5206\u6790\u53ca\u8f6f\u4ef6\u5b9a\u4e49\u589e\u5f3a\u878d\u5408\u7684\u79fb\u52a8\u591a\u8def\u4f20\u8f93\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61872253","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G239485098","display_name":null,"funder_award_id":"2023NSFSC0032","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G2871445804","display_name":null,"funder_award_id":"16/SP/3804 (ENABLE)","funder_id":"https://openalex.org/F4320331354","funder_display_name":"Insight SFI Research Centre for Data Analytics"},{"id":"https://openalex.org/G4344933236","display_name":null,"funder_award_id":"2023NSFSC0114","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G4917731782","display_name":null,"funder_award_id":"62225105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null},{"id":"https://openalex.org/F4320331354","display_name":"Insight SFI Research Centre for Data Analytics","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W2620871200","https://openalex.org/W2622637199","https://openalex.org/W2624991012","https://openalex.org/W2725312916","https://openalex.org/W2765239030","https://openalex.org/W2766324256","https://openalex.org/W2766426138","https://openalex.org/W2782892168","https://openalex.org/W2799151646","https://openalex.org/W2895253416","https://openalex.org/W2895957446","https://openalex.org/W2896109682","https://openalex.org/W2897460799","https://openalex.org/W2913326990","https://openalex.org/W2917103012","https://openalex.org/W2918877291","https://openalex.org/W2920378308","https://openalex.org/W2953050025","https://openalex.org/W2964286826","https://openalex.org/W2978661309","https://openalex.org/W2996939355","https://openalex.org/W3005647066","https://openalex.org/W3011120880","https://openalex.org/W3017189976","https://openalex.org/W3020127778","https://openalex.org/W3026958051","https://openalex.org/W3034750691","https://openalex.org/W3038754372","https://openalex.org/W3046761316","https://openalex.org/W3047354607","https://openalex.org/W3080191980","https://openalex.org/W3080934299","https://openalex.org/W3093103436","https://openalex.org/W3094338163","https://openalex.org/W3114967563","https://openalex.org/W3141438256","https://openalex.org/W3145718430","https://openalex.org/W3153317479","https://openalex.org/W3153521176","https://openalex.org/W3195342827","https://openalex.org/W4200153023","https://openalex.org/W4210968720","https://openalex.org/W4220806559","https://openalex.org/W4221123607","https://openalex.org/W4229458313","https://openalex.org/W4243538177","https://openalex.org/W4288073028","https://openalex.org/W4308923668","https://openalex.org/W6692846177","https://openalex.org/W6741396170","https://openalex.org/W6747473740","https://openalex.org/W6750186571","https://openalex.org/W6775686901"],"related_works":["https://openalex.org/W2116677773","https://openalex.org/W2155261584","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2584231425","https://openalex.org/W2150611273","https://openalex.org/W4207086172","https://openalex.org/W2042919702","https://openalex.org/W4225981436","https://openalex.org/W2156185805"],"abstract_inverted_index":{"Providing":[0],"premium":[1],"panoramic":[2],"livecast":[3],"services":[4],"to":[5,29,65,75,116],"worldwide":[6],"viewers":[7,79],"considering":[8],"their":[9],"ultra-high":[10],"data":[11],"rate":[12],"and":[13,60,154,175,192,216],"delay-sensitivity":[14],"is":[15,27,73,114,144,180],"a":[16,50,61,69,98,167,190,198],"significant":[17],"challenge":[18],"in":[19,146,166],"the":[20,77,90,94,119,123,134,149,184,209,222],"current":[21],"network":[22],"delivery":[23,86,136,142],"environment.":[24],"Therefore,":[25],"it":[26],"important":[28],"design":[30],"an":[31,176],"efficient":[32,155],"way":[33],"of":[34,38,63,93,122,126],"improving":[35],"viewer":[36,124],"quality":[37],"experience":[39],"while":[40,131],"conserving":[41],"bandwidth":[42,218],"resources.":[43],"In":[44],"this":[45,47],"context,":[46],"paper":[48],"introduces":[49],"novel":[51,139],"cost-efficient":[52],"federated":[53],"transmission":[54,163],"framework":[55],"called":[56],"<italic":[57],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[58,100,104,108,159],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">FedLive</i>":[59],"set":[62],"algorithms":[64],"support":[66],"it.":[67],"First":[68],"gradient-based":[70],"clustering":[71],"method":[72],"proposed":[74,115,185],"group":[76],"geo-distributed":[78],"with":[80,118,221],"similar":[81],"viewing":[82],"behavior":[83],"into":[84],"content":[85],"alliances":[87],"by":[88],"exploiting":[89],"geometric":[91],"properties":[92],"gradient":[95],"loss.":[96],"Next,":[97],"<underline":[99,103,107],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">R</u>":[101],"einforced":[102],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">V</u>":[105],"ariational":[106],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">I</u>":[109],"nference":[110],"(RVI)":[111],"structure-based":[112],"approach":[113,207],"assist":[117],"collaborative":[120],"training":[121],"field":[125],"view":[127],"(FoV)":[128],"prediction":[129,153,211],"model":[130],"also":[132],"accelerating":[133],"tile":[135],"process.":[137],"A":[138],"prediction-based":[140],"asynchronous":[141],"algorithm":[143],"designed":[145],"which":[147],"both":[148],"high":[150],"accuracy":[151],"FoV":[152],"live":[156],"360":[157],"<inline-formula":[158],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[160],"notation=\"LaTeX\">$^\\circ$</tex-math></inline-formula>":[161],"video":[162],"are":[164],"achieved":[165],"decentralized":[168],"manner.":[169],"FedLive":[170],"was":[171,187],"implemented":[172],"for":[173],"testing":[174],"open":[177],"source":[178],"code":[179],"made":[181],"available.":[182],"Finally,":[183],"solution":[186],"evaluated":[188],"against":[189],"benchmark":[191],"three":[193],"alternative":[194],"state-of-the-art":[195],"solutions":[196],"using":[197],"real-world":[199],"dataset.":[200],"The":[201],"experimental":[202],"results":[203],"show":[204],"that":[205],"our":[206],"provides":[208],"highest":[210],"accuracy,":[212],"better":[213],"service":[214],"performance,":[215],"saves":[217],"when":[219],"compared":[220],"other":[223],"solutions.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
