{"id":"https://openalex.org/W4392905073","doi":"https://doi.org/10.1109/ccnc51664.2024.10454672","title":"QoE Estimation Method with Time-series Features Extracted from Packet Flows for Video Streaming","display_name":"QoE Estimation Method with Time-series Features Extracted from Packet Flows for Video Streaming","publication_year":2024,"publication_date":"2024-01-06","ids":{"openalex":"https://openalex.org/W4392905073","doi":"https://doi.org/10.1109/ccnc51664.2024.10454672"},"language":"en","primary_location":{"id":"doi:10.1109/ccnc51664.2024.10454672","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccnc51664.2024.10454672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","raw_type":"proceedings-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/A5094179098","display_name":"Junki Oura","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Junki Oura","raw_affiliation_strings":["Fujitsu Limited,Fujitsu Laboratory,Kawasaki,Japan","Fujitsu Laboratory, Fujitsu Limited, Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Limited,Fujitsu Laboratory,Kawasaki,Japan","institution_ids":["https://openalex.org/I2252096349"]},{"raw_affiliation_string":"Fujitsu Laboratory, Fujitsu Limited, Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072220203","display_name":"Akihiro Wada","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akihiro Wada","raw_affiliation_strings":["Fujitsu Limited,Fujitsu Laboratory,Kawasaki,Japan","Fujitsu Laboratory, Fujitsu Limited, Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Limited,Fujitsu Laboratory,Kawasaki,Japan","institution_ids":["https://openalex.org/I2252096349"]},{"raw_affiliation_string":"Fujitsu Laboratory, Fujitsu Limited, Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027891005","display_name":"Masatoshi Ogawa","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masatoshi Ogawa","raw_affiliation_strings":["Fujitsu Limited,Fujitsu Laboratory,Kawasaki,Japan","Fujitsu Laboratory, Fujitsu Limited, Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Limited,Fujitsu Laboratory,Kawasaki,Japan","institution_ids":["https://openalex.org/I2252096349"]},{"raw_affiliation_string":"Fujitsu Laboratory, Fujitsu Limited, Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013330089","display_name":"Kaoru Yokoo","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaoru Yokoo","raw_affiliation_strings":["Fujitsu Limited,Fujitsu Laboratory,Kawasaki,Japan","Fujitsu Laboratory, Fujitsu Limited, Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Limited,Fujitsu Laboratory,Kawasaki,Japan","institution_ids":["https://openalex.org/I2252096349"]},{"raw_affiliation_string":"Fujitsu Laboratory, Fujitsu Limited, Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009433353","display_name":"Jun Kakuta","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Kakuta","raw_affiliation_strings":["Fujitsu Limited,Fujitsu Laboratory,Kawasaki,Japan","Fujitsu Laboratory, Fujitsu Limited, Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Limited,Fujitsu Laboratory,Kawasaki,Japan","institution_ids":["https://openalex.org/I2252096349"]},{"raw_affiliation_string":"Fujitsu Laboratory, Fujitsu Limited, Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082133541","display_name":"Teruhisa Ninomiya","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Teruhisa Ninomiya","raw_affiliation_strings":["Fujitsu Limited,Fujitsu Laboratory,Kawasaki,Japan","Fujitsu Laboratory, Fujitsu Limited, Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Limited,Fujitsu Laboratory,Kawasaki,Japan","institution_ids":["https://openalex.org/I2252096349"]},{"raw_affiliation_string":"Fujitsu Laboratory, Fujitsu Limited, Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5094179098"],"corresponding_institution_ids":["https://openalex.org/I2252096349"],"apc_list":null,"apc_paid":null,"fwci":0.5263,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6152064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"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":0.9998999834060669,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9965000152587891,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9790999889373779,"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":0.7927819490432739},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6384615302085876},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.587323784828186},{"id":"https://openalex.org/keywords/video-streaming","display_name":"Video streaming","score":0.5272699594497681},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5222626328468323},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5086610913276672},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4131987392902374},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.28889206051826477},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1349804401397705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7927819490432739},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6384615302085876},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.587323784828186},{"id":"https://openalex.org/C2986160907","wikidata":"https://www.wikidata.org/wiki/Q220499","display_name":"Video streaming","level":2,"score":0.5272699594497681},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5222626328468323},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5086610913276672},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4131987392902374},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.28889206051826477},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1349804401397705},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccnc51664.2024.10454672","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccnc51664.2024.10454672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","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":10,"referenced_works":["https://openalex.org/W2555248751","https://openalex.org/W2588497996","https://openalex.org/W2773027433","https://openalex.org/W2790600716","https://openalex.org/W2890079987","https://openalex.org/W3017705363","https://openalex.org/W3041221479","https://openalex.org/W3096249913","https://openalex.org/W4210907247","https://openalex.org/W4289654987"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W2576994247","https://openalex.org/W4390822878","https://openalex.org/W2608353378","https://openalex.org/W4249206767","https://openalex.org/W96888382","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Recently,":[0],"video":[1,26,46,69,97,118,127,145,165],"streaming":[2,27,128,146],"services":[3],"have":[4],"generated":[5,136],"a":[6,18,57,65,81,89],"considerable":[7],"amount":[8],"of":[9,14,25,75,105,122,140,142,144,179,181],"network":[10,59,149],"traffic.":[11],"The":[12],"quality":[13],"experience":[15,44],"(QoE)":[16],"plays":[17],"crucial":[19],"role":[20],"in":[21,52],"evaluating":[22],"the":[23,42,49,73,85,95,103,106,117,123,160,170,177,182],"condition":[24],"services;":[28],"it":[29],"depends":[30],"on":[31,72],"metrics":[32,70,98,119,166],"such":[33],"as":[34,88,99],"encoding":[35],"bitrate,":[36],"resolution,":[37],"and":[38,55,120,133],"stalling.":[39],"To":[40,101],"improve":[41],"users\u2019":[43,50,86],"while":[45],"streaming,":[47],"understanding":[48],"QoE":[51,87],"real":[53],"time":[54],"maintaining":[56],"healthy":[58],"is":[60,187],"essential.":[61],"Herein,":[62],"we":[63,109,157,174],"proposed":[64,80,107,161,183],"method":[66,82,162,186],"for":[67,83],"estimating":[68,84],"based":[71],"features":[74,121],"packet":[76,124],"flows.":[77],"We":[78,135],"also":[79],"mean":[90],"opinion":[91],"score":[92],"(MOS)":[93],"using":[94,154],"estimated":[96],"inputs.":[100],"evaluate":[102],"effectiveness":[104,152],"methods,":[108],"constructed":[110],"an":[111,137],"experimental":[112],"environment":[113],"that":[114,159,176],"can":[115],"extract":[116],"flows":[125],"during":[126],"by":[129],"HTTP":[130],"Live":[131],"Streaming":[132],"MPEG-DASH.":[134],"extensive":[138],"dataset":[139],"hundreds":[141],"hours":[143],"with":[147],"various":[148],"quality.":[150],"Through":[151],"evaluation":[153],"these":[155],"datasets,":[156],"established":[158],"could":[163],"estimate":[164],"more":[167],"accurately":[168],"than":[169],"conventional":[171],"method.":[172],"Moreover,":[173],"observed":[175],"coefficient":[178],"determination":[180],"MOS":[184],"estimation":[185],">0.89.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}