{"id":"https://openalex.org/W4293518102","doi":"https://doi.org/10.1109/icme52920.2022.9859963","title":"CoLive: An Edge-Assisted Online Learning Framework for Viewport Prediction in 360\u00b0 Live Streaming","display_name":"CoLive: An Edge-Assisted Online Learning Framework for Viewport Prediction in 360\u00b0 Live Streaming","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4293518102","doi":"https://doi.org/10.1109/icme52920.2022.9859963"},"language":"en","primary_location":{"id":"doi:10.1109/icme52920.2022.9859963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859963","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101730758","display_name":"Mu Wang","orcid":"https://orcid.org/0000-0003-1147-911X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mu Wang","raw_affiliation_strings":["Tsinghua University,Beijing,China","Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101838468","display_name":"P. Shuai","orcid":"https://orcid.org/0000-0002-7533-5927"},"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":"Shuai Peng","raw_affiliation_strings":["Southwestern University of Finance and Economics,Chengdu,China","Southwestern University of Finance and Economics, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwestern University of Finance and Economics,Chengdu,China","institution_ids":["https://openalex.org/I204831749"]},{"raw_affiliation_string":"Southwestern University of Finance and Economics, Chengdu, China","institution_ids":["https://openalex.org/I204831749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101729747","display_name":"Xingyan Chen","orcid":"https://orcid.org/0000-0003-0861-2100"},"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":"Xingyan Chen","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China","Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"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/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":"Yu Zhao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China","Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103056341","display_name":"Mingwei Xu","orcid":"https://orcid.org/0000-0002-3385-9845"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingwei Xu","raw_affiliation_strings":["Tsinghua University,Beijing,China","Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069646989","display_name":"Changqiao Xu","orcid":"https://orcid.org/0000-0003-1467-1086"},"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":"Changqiao Xu","raw_affiliation_strings":["Southwestern University of Finance and Economics,Chengdu,China","Southwestern University of Finance and Economics, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwestern University of Finance and Economics,Chengdu,China","institution_ids":["https://openalex.org/I204831749"]},{"raw_affiliation_string":"Southwestern University of Finance and Economics, Chengdu, China","institution_ids":["https://openalex.org/I204831749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"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":0.9998000264167786,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994000196456909,"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":0.9254000186920166,"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/viewport","display_name":"Viewport","score":0.9892654418945312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8546779155731201},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.618021547794342},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5336046814918518},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4934943914413452},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.48510634899139404},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.4641363024711609},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32492345571517944},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3202846050262451},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1934160590171814},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.13237997889518738}],"concepts":[{"id":"https://openalex.org/C2778090530","wikidata":"https://www.wikidata.org/wiki/Q2523931","display_name":"Viewport","level":2,"score":0.9892654418945312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8546779155731201},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.618021547794342},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5336046814918518},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4934943914413452},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.48510634899139404},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.4641363024711609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32492345571517944},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3202846050262451},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1934160590171814},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.13237997889518738},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme52920.2022.9859963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859963","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2888251392","display_name":null,"funder_award_id":"62101301","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W2622637199","https://openalex.org/W2766324256","https://openalex.org/W2766426138","https://openalex.org/W2799064164","https://openalex.org/W2884414611","https://openalex.org/W2895957446","https://openalex.org/W2911174318","https://openalex.org/W2953050025","https://openalex.org/W2963503775","https://openalex.org/W2996939355","https://openalex.org/W3005647066","https://openalex.org/W3017189976","https://openalex.org/W3038754372","https://openalex.org/W3128182885","https://openalex.org/W4221123607","https://openalex.org/W4243538177","https://openalex.org/W6765037000"],"related_works":["https://openalex.org/W2355862304","https://openalex.org/W3039580660","https://openalex.org/W2960369171","https://openalex.org/W4309010351","https://openalex.org/W4214597994","https://openalex.org/W2009291387","https://openalex.org/W1972070263","https://openalex.org/W1903276006","https://openalex.org/W2943598141","https://openalex.org/W4290098567"],"abstract_inverted_index":{"The":[0],"ever-increasing":[1],"demand":[2],"for":[3,62,119,155],"bandwidth":[4,20],"resources":[5],"when":[6],"delivering":[7],"premium":[8],"quality":[9],"360\u00b0":[10,55,63,166],"video":[11,167],"challenges":[12],"the":[13,27,31,42,46,69,79,103,111,116,121,143,164],"current":[14],"network":[15],"capacity.":[16],"To":[17],"alleviate":[18],"such":[19],"pressure,":[21],"it":[22],"is":[23,66],"imperative":[24],"to":[25,44,101,115],"predict":[26],"viewport":[28,60,94],"via":[29,133],"observing":[30],"content":[32,73],"visual":[33,80],"feature":[34,113,145],"and":[35,74,82,109,151],"historical":[36],"viewing":[37,83],"behaviors,":[38],"which":[39],"thereby":[40],"allows":[41],"system":[43],"concentrate":[45],"limited":[47],"resource":[48],"on":[49,78,163],"viewer's":[50],"region":[51],"of":[52,71,76,161],"interest":[53],"in":[54],"content.":[56],"However,":[57],"enabling":[58],"accurate":[59],"prediction":[61,95,104,150],"live":[64,72],"streaming":[65],"non-trivial":[67],"given":[68],"time-sensitive":[70],"shortage":[75],"pre-knowledge":[77],"features":[81],"behaviors.":[84],"In":[85],"this":[86],"paper,":[87],"we":[88],"propose":[89],"CoLive,":[90],"an":[91],"edge-assisted":[92],"online":[93],"framework.":[96],"CoLive":[97],"incorporates":[98],"edge":[99],"computing":[100],"offload":[102],"model":[105,132],"training":[106],"from":[107],"viewers":[108],"migrates":[110],"saliency":[112,144],"detection":[114],"server":[117],"side":[118],"reducing":[120],"processing":[122],"delay.":[123],"Viewers":[124],"can":[125],"also":[126],"collaboratively":[127],"train":[128],"a":[129],"central":[130,139],"predicting":[131],"sharing":[134],"their":[135],"loss":[136],"gradients.":[137],"This":[138],"model,":[140],"together":[141],"with":[142,177],"detection,":[146],"further":[147],"prompts":[148],"accuracy":[149],"learning":[152],"acceleration,":[153],"especially":[154],"new":[156],"incoming":[157],"viewers.":[158],"A":[159],"series":[160],"experiments":[162],"public":[165],"dataset":[168],"show":[169],"how":[170],"our":[171],"solution":[172],"achieves":[173],"better":[174],"performance":[175],"compared":[176],"state-of-the-art":[178],"solutions.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
