{"id":"https://openalex.org/W3186662810","doi":"https://doi.org/10.1145/3458305.3459596","title":"DataPlanner","display_name":"DataPlanner","publication_year":2021,"publication_date":"2021-07-15","ids":{"openalex":"https://openalex.org/W3186662810","doi":"https://doi.org/10.1145/3458305.3459596","mag":"3186662810"},"language":"en","primary_location":{"id":"doi:10.1145/3458305.3459596","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458305.3459596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM Multimedia Systems Conference","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/A5078986714","display_name":"Yanyuan Qin","orcid":"https://orcid.org/0000-0001-5171-8141"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanyuan Qin","raw_affiliation_strings":["University of Connecticut"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040683843","display_name":"Chinmaey Shende","orcid":"https://orcid.org/0009-0009-4356-3683"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chinmaey Shende","raw_affiliation_strings":["University of Connecticut"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044443824","display_name":"Cheonjin Park","orcid":"https://orcid.org/0009-0001-8563-6897"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheonjin Park","raw_affiliation_strings":["University of Connecticut"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114832181","display_name":"Subhabrata Sen","orcid":"https://orcid.org/0009-0005-5969-1023"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Subhabrata Sen","raw_affiliation_strings":["AT&amp;T Labs - Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&amp;T Labs - Research","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045251431","display_name":"Bing Wang","orcid":"https://orcid.org/0000-0002-7078-4352"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bing Wang","raw_affiliation_strings":["University of Connecticut"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"94","last_page":"107"},"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/T12720","display_name":"Multimedia Communication and Technology","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8716037273406982},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.6536605954170227},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5648086071014404},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.5576345324516296},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5526703000068665},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.4918537139892578},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4320923984050751},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4171411693096161},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.25682687759399414},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17253848910331726},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.16630038619041443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09542402625083923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8716037273406982},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.6536605954170227},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5648086071014404},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.5576345324516296},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5526703000068665},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.4918537139892578},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4320923984050751},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4171411693096161},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.25682687759399414},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17253848910331726},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.16630038619041443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09542402625083923},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3458305.3459596","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458305.3459596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM Multimedia Systems Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W220935706","https://openalex.org/W566388058","https://openalex.org/W1974561310","https://openalex.org/W1976944900","https://openalex.org/W2013628864","https://openalex.org/W2021757921","https://openalex.org/W2064793449","https://openalex.org/W2138758168","https://openalex.org/W2150453038","https://openalex.org/W2167407752","https://openalex.org/W2168005380","https://openalex.org/W2185105561","https://openalex.org/W2517598826","https://openalex.org/W2524357173","https://openalex.org/W2744628735","https://openalex.org/W2769903392","https://openalex.org/W2791337165","https://openalex.org/W2810731248","https://openalex.org/W2890911786","https://openalex.org/W2902391434","https://openalex.org/W2949874897","https://openalex.org/W2963191323","https://openalex.org/W3125360682","https://openalex.org/W3200788958"],"related_works":["https://openalex.org/W4296749040","https://openalex.org/W4230197055","https://openalex.org/W621808327","https://openalex.org/W644007644","https://openalex.org/W2497198634","https://openalex.org/W3012257603","https://openalex.org/W1586784764","https://openalex.org/W4292264782","https://openalex.org/W1559289099","https://openalex.org/W3016450995"],"abstract_inverted_index":{"Over-the-top":[0],"video":[1,55],"(OTT)":[2],"streaming":[3,78,170],"accounts":[4],"for":[5,73,95,111,121],"the":[6,37,50,59,86,96,106,112],"majority":[7],"of":[8,30,53,64,125,134,174],"traffic":[9],"on":[10,19,35,61],"cellular":[11,23],"networks,":[12],"and":[13,109,137],"also":[14],"places":[15],"a":[16,41,70,80,122,132],"heavy":[17],"demand":[18],"users'":[20,62],"limited":[21],"monthly":[22],"data":[24,44,51,82,147],"budgets.":[25],"In":[26],"contrast":[27],"to":[28,47,105,149,163],"much":[29,145],"traditional":[31],"research":[32],"that":[33,140],"focuses":[34],"improving":[36],"quality,":[38],"we":[39,68,88],"explore":[40],"different":[42,129],"direction---using":[43],"budget":[45,83],"information":[46,102,116],"better":[48],"manage":[49],"usage":[52],"mobile":[54],"streaming,":[56],"while":[57,153],"minimizing":[58],"impact":[60],"quality":[63,101],"experience":[65],"(QoE).":[66],"Specifically,":[67],"propose":[69],"novel":[71],"framework":[72],"quality-aware":[74],"Adaptive":[75],"Bitrate":[76],"(ABR)":[77],"involving":[79],"per-session":[81],"constraint.":[84],"Under":[85],"framework,":[87],"develop":[89],"two":[90],"planning":[91,107],"based":[92],"strategies,":[93],"one":[94],"case":[97,113],"where":[98,114],"fine-grained":[99],"perceptual":[100],"is":[103,117,161],"known":[104],"scheme,":[108],"another":[110],"such":[115],"not":[118],"available.":[119],"Evaluations":[120],"wide":[123],"range":[124],"network":[126],"conditions,":[127],"using":[128],"videos":[130],"covering":[131],"variety":[133],"content":[135],"types":[136],"encodings,":[138],"demonstrate":[139],"both":[141],"these":[142],"strategies":[143],"use":[144],"less":[146],"compared":[148],"state-of-the-art":[150],"ABR":[151,169],"schemes,":[152],"still":[154],"providing":[155],"comparable":[156],"QoE.":[157],"Our":[158],"proposed":[159],"approach":[160],"designed":[162],"work":[164],"in":[165],"conjunction":[166],"with":[167],"existing":[168],"workflows,":[171],"enabling":[172],"ease":[173],"adoption.":[175]},"counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2021-08-02T00:00:00"}
