{"id":"https://openalex.org/W4313855610","doi":"https://doi.org/10.1109/tmc.2023.3235103","title":"Robust Saliency-Driven Quality Adaptation for Mobile 360-Degree Video Streaming","display_name":"Robust Saliency-Driven Quality Adaptation for Mobile 360-Degree Video Streaming","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4313855610","doi":"https://doi.org/10.1109/tmc.2023.3235103"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2023.3235103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2023.3235103","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-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/A5076039358","display_name":"Shibo Wang","orcid":"https://orcid.org/0000-0003-1007-2414"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibo Wang","raw_affiliation_strings":["National Engineering Laboratory for Big Data Analytics, Xi'an Jiaotong University, China"],"raw_orcid":"https://orcid.org/0000-0003-1007-2414","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Big Data Analytics, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067547680","display_name":"Shusen Yang","orcid":"https://orcid.org/0000-0002-4495-6237"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shusen Yang","raw_affiliation_strings":["National Engineering Laboratory for Big Data Analytics, and the Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, China"],"raw_orcid":"https://orcid.org/0000-0002-4495-6237","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Big Data Analytics, and the Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032869850","display_name":"Hairong Su","orcid":"https://orcid.org/0000-0002-2719-8518"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hairong Su","raw_affiliation_strings":["National Engineering Laboratory for Big Data Analytics, Xi'an Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Big Data Analytics, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037412714","display_name":"Cong Zhao","orcid":"https://orcid.org/0000-0002-9002-4350"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Zhao","raw_affiliation_strings":["National Engineering Laboratory for Big Data Analytics, Xi'an Jiaotong University, China"],"raw_orcid":"https://orcid.org/0000-0002-9002-4350","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Big Data Analytics, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003999919","display_name":"Chenren Xu","orcid":"https://orcid.org/0000-0001-9171-2596"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenren Xu","raw_affiliation_strings":["Peking University, China"],"raw_orcid":"https://orcid.org/0000-0001-9171-2596","affiliations":[{"raw_affiliation_string":"Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"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/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Qian","raw_affiliation_strings":["University of Minnesota - Twin Cities, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota - Twin Cities, USA","institution_ids":["https://openalex.org/I130238516","https://openalex.org/I4210101327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014222870","display_name":"Nanbin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanbin Wang","raw_affiliation_strings":["Huawei Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technology, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109280540","display_name":"Zongben Xu","orcid":"https://orcid.org/0000-0002-4066-2338"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongben Xu","raw_affiliation_strings":["National Engineering Laboratory for Big Data Analytics, Xi'an Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Big Data Analytics, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.247,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.88918521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"18"},"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/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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9588000178337097,"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":0.9128319621086121},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.7373450994491577},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.6880598068237305},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5163534879684448},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4999566078186035},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.46918797492980957},{"id":"https://openalex.org/keywords/video-streaming","display_name":"Video streaming","score":0.4640369415283203},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4568544030189514},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.45516929030418396},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.39638209342956543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3465424180030823},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.21914228796958923},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.12200435996055603}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9128319621086121},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.7373450994491577},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.6880598068237305},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5163534879684448},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4999566078186035},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.46918797492980957},{"id":"https://openalex.org/C2986160907","wikidata":"https://www.wikidata.org/wiki/Q220499","display_name":"Video streaming","level":2,"score":0.4640369415283203},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4568544030189514},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.45516929030418396},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.39638209342956543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3465424180030823},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.21914228796958923},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.12200435996055603},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2023.3235103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2023.3235103","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G1082092869","display_name":null,"funder_award_id":"2020T130513","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2045660238","display_name":"\u7fa4\u667a\u611f\u77e5\u7cfb\u7edf\u4e2d\u9762\u5411\u6570\u636e\u53d1\u5e03\u7684\u672c\u5730\u9690\u79c1\u4fdd\u62a4\u673a\u5236\u7814\u7a76","funder_award_id":"61802298","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2066389582","display_name":null,"funder_award_id":"2019M663726","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5234250448","display_name":null,"funder_award_id":"11690011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5372072380","display_name":null,"funder_award_id":"U1811461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6727632337","display_name":"\u4eba\u4e3a\u53c2\u4e0e\u7684\u79fb\u52a8\u7fa4\u667a\u611f\u77e5\u6570\u636e\u83b7\u53d6\u4e0e\u53d1\u5e03\u7684\u5b89\u5168\u4e0e\u9690\u79c1\u4fdd\u62a4\u7814\u7a76","funder_award_id":"61772410","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7108580912","display_name":null,"funder_award_id":"62172329","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8698885527","display_name":null,"funder_award_id":"U21A6005","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/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":47,"referenced_works":["https://openalex.org/W1976944900","https://openalex.org/W1989066961","https://openalex.org/W2024060531","https://openalex.org/W2086791339","https://openalex.org/W2090838138","https://openalex.org/W2125446738","https://openalex.org/W2128193809","https://openalex.org/W2167407752","https://openalex.org/W2468651315","https://openalex.org/W2523094016","https://openalex.org/W2523901075","https://openalex.org/W2561270043","https://openalex.org/W2603175967","https://openalex.org/W2624991012","https://openalex.org/W2725312916","https://openalex.org/W2766324256","https://openalex.org/W2766426138","https://openalex.org/W2791665143","https://openalex.org/W2799064164","https://openalex.org/W2810704880","https://openalex.org/W2826107421","https://openalex.org/W2895957446","https://openalex.org/W2896449077","https://openalex.org/W2896840651","https://openalex.org/W2904856968","https://openalex.org/W2936709427","https://openalex.org/W2952305357","https://openalex.org/W2956004281","https://openalex.org/W2963428739","https://openalex.org/W2968289224","https://openalex.org/W2996652655","https://openalex.org/W3002714799","https://openalex.org/W3009393808","https://openalex.org/W3011023724","https://openalex.org/W3029279024","https://openalex.org/W3047354607","https://openalex.org/W3104711241","https://openalex.org/W3116317910","https://openalex.org/W3126900055","https://openalex.org/W4246737671","https://openalex.org/W4298127140","https://openalex.org/W4306178276","https://openalex.org/W4313642610","https://openalex.org/W6683204974","https://openalex.org/W6739901393","https://openalex.org/W6765495312","https://openalex.org/W6768333702"],"related_works":["https://openalex.org/W2883239366","https://openalex.org/W1543922763","https://openalex.org/W3127182254","https://openalex.org/W2737069248","https://openalex.org/W1971541619","https://openalex.org/W2914450980","https://openalex.org/W2542002904","https://openalex.org/W2140624161","https://openalex.org/W1993691163","https://openalex.org/W2796797126"],"abstract_inverted_index":{"Mobile":[0],"360-degree":[1,25,79],"video":[2,45,80,108,154],"streaming":[3,26,60],"has":[4],"grown":[5],"significantly":[6,151],"in":[7,147],"popularity":[8],"but":[9],"the":[10,28,104,123,148,153,158,163,168],"quality":[11,46,75,125,155],"of":[12,32,107],"experience":[13],"(QoE)":[14],"suffers":[15],"from":[16],"insufficient":[17],"and":[18,38,47,53,101,144,156],"variable":[19],"wireless":[20,137],"network":[21,51,91,138],"bandwidth.":[22],"Recently,":[23],"saliency-driven":[24,74],"overcomes":[27],"buffer":[29],"size":[30],"limitation":[31],"head":[33],"movement":[34],"trajectory":[35],"(HMT)-driven":[36],"solutions":[37],"thus":[39],"strikes":[40],"a":[41,72,86,95,113],"better":[42],"balance":[43],"between":[44],"rebuffering.":[48],"However,":[49],"inaccurate":[50],"estimations":[52],"intrinsic":[54],"saliency":[55,129],"bias":[56],"still":[57],"challenge":[58],"saliency-based":[59],"approaches,":[61],"limiting":[62],"further":[63],"QoE":[64],"improvement.":[65],"To":[66],"address":[67],"these":[68],"challenges,":[69],"we":[70,84,111],"design":[71,112],"robust":[73],"adaptation":[76],"algorithm":[77,119],"for":[78],"streaming,":[81],"RoSal360.":[82],"Specifically,":[83],"present":[85],"practical,":[87],"tile-size-aware":[88],"deep":[89],"neural":[90],"(DNN)":[92],"model":[93],"with":[94],"decoupled":[96],"self-attention":[97],"architecture":[98],"to":[99,120,128,167],"accurately":[100],"efficiently":[102],"predict":[103],"transmission":[105],"time":[106],"tiles.":[109],"Moreover,":[110],"reinforcement":[114],"learning":[115],"(RL)-driven":[116],"online":[117],"correction":[118],"robustly":[121],"compensate":[122],"improper":[124],"allocations":[126],"due":[127],"bias.":[130],"Through":[131],"extensive":[132],"prototype":[133],"evaluations":[134],"over":[135],"real":[136],"environments":[139],"including":[140],"commodity":[141],"WiFi,":[142],"4G/LTE,":[143],"5G":[145],"links":[146],"wild,":[149],"RoSal360":[150],"enhances":[152],"reduces":[157],"rebuffering":[159],"ratio,":[160],"thereby":[161],"improving":[162],"viewer":[164],"QoE,":[165],"compared":[166],"state-of-the-art":[169],"algorithms.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}