{"id":"https://openalex.org/W4306179734","doi":"https://doi.org/10.1145/3495243.3517027","title":"Vues","display_name":"Vues","publication_year":2022,"publication_date":"2022-10-14","ids":{"openalex":"https://openalex.org/W4306179734","doi":"https://doi.org/10.1145/3495243.3517027"},"language":"en","primary_location":{"id":"doi:10.1145/3495243.3517027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3495243.3517027","pdf_url":null,"source":{"id":"https://openalex.org/S4363608994","display_name":"Proceedings of the 28th Annual International Conference on Mobile Computing And Networking","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":"Proceedings of the 28th Annual International Conference on Mobile Computing And Networking","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/A5100345786","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-5216-3181"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["University of Minnesota"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078582134","display_name":"Bo Han","orcid":"https://orcid.org/0000-0001-7042-3322"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Han","raw_affiliation_strings":["George Mason University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Mason University","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072962093","display_name":"Feng Qian","orcid":"https://orcid.org/0000-0001-8509-2650"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Qian","raw_affiliation_strings":["University of Minnesota"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012617033","display_name":"Arvind Narayanan","orcid":"https://orcid.org/0000-0002-2870-6350"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arvind Narayanan","raw_affiliation_strings":["University of Minnesota"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100622104","display_name":"Zhili Zhang","orcid":"https://orcid.org/0000-0003-3144-7510"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhi-Li Zhang","raw_affiliation_strings":["University of Minnesota"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"514","last_page":"527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"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":1.0,"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":0.9933000206947327,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9902999997138977,"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":0.8796190023422241},{"id":"https://openalex.org/keywords/transcoding","display_name":"Transcoding","score":0.8513056039810181},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.7143517732620239},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5122105479240417},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4874885082244873},{"id":"https://openalex.org/keywords/user-experience-design","display_name":"User experience design","score":0.4841354787349701},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.470891535282135},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4362959861755371},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.43170303106307983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4102931022644043},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4092593193054199},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3441235423088074},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3212347626686096},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2566625773906708},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.2304053008556366},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10721263289451599},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.10421386361122131}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8796190023422241},{"id":"https://openalex.org/C134535813","wikidata":"https://www.wikidata.org/wiki/Q1888734","display_name":"Transcoding","level":2,"score":0.8513056039810181},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.7143517732620239},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5122105479240417},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4874885082244873},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.4841354787349701},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.470891535282135},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4362959861755371},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.43170303106307983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4102931022644043},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4092593193054199},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3441235423088074},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3212347626686096},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2566625773906708},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2304053008556366},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10721263289451599},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.10421386361122131},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3495243.3517027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3495243.3517027","pdf_url":null,"source":{"id":"https://openalex.org/S4363608994","display_name":"Proceedings of the 28th Annual International Conference on Mobile Computing And Networking","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":"Proceedings of the 28th Annual International Conference on Mobile Computing And Networking","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G584763340","display_name":null,"funder_award_id":"1901103, 1915122, 2106090, 2106771, 2128489","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W117504094","https://openalex.org/W1536929369","https://openalex.org/W1603903339","https://openalex.org/W1971763751","https://openalex.org/W2017336566","https://openalex.org/W2031318661","https://openalex.org/W2064076387","https://openalex.org/W2065311545","https://openalex.org/W2067132795","https://openalex.org/W2091797932","https://openalex.org/W2095900167","https://openalex.org/W2098362450","https://openalex.org/W2120356802","https://openalex.org/W2130495284","https://openalex.org/W2133665775","https://openalex.org/W2150453038","https://openalex.org/W2213648495","https://openalex.org/W2249309460","https://openalex.org/W2293404936","https://openalex.org/W2319503556","https://openalex.org/W2468651315","https://openalex.org/W2532629912","https://openalex.org/W2744628735","https://openalex.org/W2799179991","https://openalex.org/W2826107421","https://openalex.org/W2885830445","https://openalex.org/W2896840651","https://openalex.org/W2916707431","https://openalex.org/W2952768267","https://openalex.org/W2963389850","https://openalex.org/W2982262421","https://openalex.org/W2985655328","https://openalex.org/W2992753629","https://openalex.org/W2997214666","https://openalex.org/W3010040315","https://openalex.org/W3015751022","https://openalex.org/W3016718200","https://openalex.org/W3021314748","https://openalex.org/W3032301564","https://openalex.org/W3048402306","https://openalex.org/W3088533413","https://openalex.org/W3100379301","https://openalex.org/W3101286184","https://openalex.org/W3152583961","https://openalex.org/W4235132546","https://openalex.org/W4249497225","https://openalex.org/W6645386394","https://openalex.org/W6680150773","https://openalex.org/W6760451528","https://openalex.org/W6808111085"],"related_works":["https://openalex.org/W2359384769","https://openalex.org/W1969215655","https://openalex.org/W2136286070","https://openalex.org/W1521096565","https://openalex.org/W2544657819","https://openalex.org/W2572500090","https://openalex.org/W3200278794","https://openalex.org/W2884268961","https://openalex.org/W1978514417","https://openalex.org/W3172260756"],"abstract_inverted_index":{"The":[0,105,148],"emerging":[1],"volumetric":[2,39,78,112,206],"videos":[3,40],"offer":[4],"a":[5,64,94,111,123,166],"fully":[6],"immersive,":[7],"six":[8],"degrees":[9],"of":[10,18,51,72,102,122,136],"freedom":[11],"(6DoF)":[12],"viewing":[13],"experience,":[14],"at":[15],"the":[16,70,85,99,120,132,140,151,155,158,180,194,201],"cost":[17],"extremely":[19],"high":[20,49],"bandwidth":[21,43,134,195],"demand.":[22],"In":[23],"this":[24,89],"paper,":[25],"we":[26,62],"design,":[27],"implement,":[28],"and":[29,48,129,139,192],"evaluate":[30],"Vues,":[31],"an":[32,58],"edge-assisted":[33],"transcoding":[34,77,190],"system":[35],"that":[36,153,170,203],"delivers":[37],"high-quality":[38],"with":[41,98,119],"low":[42,45],"requirement,":[44],"decoding":[46],"overhead,":[47],"quality":[50],"experience":[52],"(QoE)":[53],"on":[54],"mobile":[55],"devices.":[56],"Through":[57],"IRB-approved":[59],"user":[60,90],"study,":[61,91],"build":[63],"first-of-its-kind":[65],"QoE":[66,146,156,181],"model":[67],"to":[68,185,188,200],"quantify":[69],"impact":[71],"various":[73],"factors":[74],"introduced":[75],"by":[76,84,144,182,197],"content":[79],"into":[80,115],"2D":[81,117],"videos.":[82,207],"Motivated":[83],"key":[86],"observations":[87],"from":[88],"Vues":[92,106,171],"employs":[93],"novel":[95],"multiview":[96],"approach":[97],"overarching":[100],"goal":[101],"boosting":[103],"QoE.":[104],"edge":[107],"server":[108],"adaptively":[109],"transcodes":[110],"video":[113],"frame":[114],"multiple":[116],"views":[118,138],"help":[121],"few":[124],"lightweight":[125],"machine":[126],"learning":[127],"models":[128],"strategically":[130],"balances":[131],"extra":[133],"consumption":[135,196],"additional":[137],"improved":[141],"QoE,":[142],"indicated":[143],"our":[145],"model.":[147],"client":[149],"selects":[150],"view":[152],"optimizes":[154],"among":[157],"delivered":[159],"candidates":[160],"for":[161],"display.":[162],"Comprehensive":[163],"evaluations":[164],"using":[165],"prototype":[167],"implementation":[168],"indicate":[169],"dramatically":[172],"outperforms":[173],"existing":[174],"approaches.":[175],"On":[176],"average,":[177],"it":[178],"improves":[179],"35%":[183],"(up":[184],"85%),":[186],"compared":[187,199],"single-view":[189],"schemes,":[191],"reduces":[193],"95%,":[198],"state-of-the-art":[202],"directly":[204],"streams":[205]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2022-10-14T00:00:00"}
