{"id":"https://openalex.org/W4367046886","doi":"https://doi.org/10.1145/3543507.3583364","title":"DeeProphet: Improving HTTP Adaptive Streaming for Low Latency Live Video by Meticulous Bandwidth Prediction","display_name":"DeeProphet: Improving HTTP Adaptive Streaming for Low Latency Live Video by Meticulous Bandwidth Prediction","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4367046886","doi":"https://doi.org/10.1145/3543507.3583364"},"language":"en","primary_location":{"id":"doi:10.1145/3543507.3583364","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3543507.3583364","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3543507.3583364","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3543507.3583364","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048168071","display_name":"Kefan Chen","orcid":"https://orcid.org/0000-0002-9433-5578"},"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":true,"raw_author_name":"Kefan Chen","raw_affiliation_strings":["Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408040","display_name":"Bo Wang","orcid":"https://orcid.org/0000-0001-9959-7705"},"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":"Bo Wang","raw_affiliation_strings":["Tsinghua University, China and Zhongguancun Laboratory, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, China and Zhongguancun Laboratory, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046134685","display_name":"Wufan Wang","orcid":"https://orcid.org/0000-0002-6838-3584"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wufan Wang","raw_affiliation_strings":["Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080219353","display_name":"Xiaoyu Li","orcid":"https://orcid.org/0000-0003-2266-3270"},"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":"Xiaoyu Li","raw_affiliation_strings":["Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080197427","display_name":"Fengyuan Ren","orcid":"https://orcid.org/0000-0001-6526-3889"},"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":"Fengyuan Ren","raw_affiliation_strings":["Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5048168071"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.8358,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74307006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2991","last_page":"3001"},"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":0.995199978351593,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9847000241279602,"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":0.8313440084457397},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.7455785870552063},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6607983112335205},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5406806468963623},{"id":"https://openalex.org/keywords/video-streaming","display_name":"Video streaming","score":0.5170783996582031},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4803225100040436},{"id":"https://openalex.org/keywords/streaming-algorithm","display_name":"Streaming algorithm","score":0.4330381155014038},{"id":"https://openalex.org/keywords/dynamic-bandwidth-allocation","display_name":"Dynamic bandwidth allocation","score":0.4223666787147522},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.32822319865226746},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13175809383392334},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.11258530616760254}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8313440084457397},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.7455785870552063},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6607983112335205},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5406806468963623},{"id":"https://openalex.org/C2986160907","wikidata":"https://www.wikidata.org/wiki/Q220499","display_name":"Video streaming","level":2,"score":0.5170783996582031},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4803225100040436},{"id":"https://openalex.org/C187166803","wikidata":"https://www.wikidata.org/wiki/Q2835831","display_name":"Streaming algorithm","level":3,"score":0.4330381155014038},{"id":"https://openalex.org/C145062175","wikidata":"https://www.wikidata.org/wiki/Q5318947","display_name":"Dynamic bandwidth allocation","level":3,"score":0.4223666787147522},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32822319865226746},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13175809383392334},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.11258530616760254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3543507.3583364","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3543507.3583364","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3543507.3583364","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3543507.3583364","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3543507.3583364","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3543507.3583364","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4517395351","display_name":null,"funder_award_id":"No. 62132007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5884280093","display_name":null,"funder_award_id":"62002020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6058138561","display_name":null,"funder_award_id":", No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G672095177","display_name":null,"funder_award_id":"No. 62132007, No. 62002196 and No. 62002020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6829641439","display_name":null,"funder_award_id":"62002196","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8353944883","display_name":null,"funder_award_id":"2022YFB2901404","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G871882648","display_name":null,"funder_award_id":"(No. 2022YFB2901404","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8803203042","display_name":null,"funder_award_id":"62132007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8863666567","display_name":null,"funder_award_id":"and No.","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4367046886.pdf","grobid_xml":"https://content.openalex.org/works/W4367046886.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W95608104","https://openalex.org/W1976944900","https://openalex.org/W2153964544","https://openalex.org/W2167407752","https://openalex.org/W2294512426","https://openalex.org/W2397506972","https://openalex.org/W2482797934","https://openalex.org/W2744628735","https://openalex.org/W2761846071","https://openalex.org/W2849781392","https://openalex.org/W3029351463","https://openalex.org/W3032042823","https://openalex.org/W3161795961","https://openalex.org/W3183194202","https://openalex.org/W4236672384"],"related_works":["https://openalex.org/W2091458833","https://openalex.org/W4200631746","https://openalex.org/W4392981041","https://openalex.org/W140303354","https://openalex.org/W4235833544","https://openalex.org/W2808294846","https://openalex.org/W1979103132","https://openalex.org/W2029567171","https://openalex.org/W4377245911","https://openalex.org/W3149419447"],"abstract_inverted_index":{"The":[0,16],"performance":[1,106],"of":[2,12,51,107],"HTTP":[3],"adaptive":[4],"streaming":[5,22,37],"(HAS)":[6],"depends":[7],"heavily":[8],"on":[9],"the":[10,52,56,105,111,126,133,154,167],"prediction":[11,42,48,100,170],"end-to-end":[13],"network":[14],"bandwidth.":[15],"increasingly":[17],"popular":[18],"low":[19],"latency":[20],"live":[21],"(LLLS)":[23],"faces":[24],"greater":[25],"challenges":[26,53,113],"since":[27],"it":[28,70],"requires":[29],"accurate,":[30],"short-term":[31,59],"bandwidth":[32,41,60,76,99,169],"prediction,":[33],"compared":[34,159],"with":[35,160],"VOD":[36],"which":[38],"needs":[39],"long-term":[40],"and":[43,66,85,130,137,145,165],"has":[44],"good":[45],"tolerance":[46],"against":[47],"error.":[49],"Part":[50],"comes":[54],"from":[55],"fact":[57],"that":[58,151],"experiences":[61],"both":[62,142],"large":[63,143],"abrupt":[64],"changes":[65],"uncertain":[67,146],"fluctuations.":[68,147],"Additionally,":[69],"is":[71],"hard":[72],"to":[73,82,103,124,140,172],"obtain":[74],"valid":[75,116],"measurement":[77,117],"samples":[78,118],"in":[79,101],"LLLS":[80,102,162],"due":[81],"its":[83],"inter-chunk":[84],"intra-chunk":[86],"sending":[87],"idleness.":[88],"In":[89],"this":[90],"work,":[91],"we":[92],"present":[93],"DeeProphet,":[94],"a":[95],"system":[96],"for":[97],"accurate":[98],"improve":[104],"HAS.":[108],"DeeProphet":[109,152],"overcomes":[110],"above":[112],"by":[114,131,157],"collecting":[115],"using":[119],"fine-grained":[120],"TCP":[121],"state":[122],"information":[123],"identify":[125],"packet":[127],"bursting":[128],"intervals,":[129],"combining":[132],"time":[134],"series":[135],"model":[136,139],"learning-based":[138],"predict":[141],"change":[144],"Experiment":[148],"results":[149],"show":[150],"improves":[153],"overall":[155],"QoE":[156],"17.7%-359.2%":[158],"state-of-the-art":[161],"ABR":[163],"algorithms,":[164],"reduces":[166],"median":[168],"error":[171],"2.7%.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
