{"id":"https://openalex.org/W4207048802","doi":"https://doi.org/10.1145/3491003.3491023","title":"DeSVQ: Deep Learning Based Streaming Video QoE Estimation","display_name":"DeSVQ: Deep Learning Based Streaming Video QoE Estimation","publication_year":2022,"publication_date":"2022-01-04","ids":{"openalex":"https://openalex.org/W4207048802","doi":"https://doi.org/10.1145/3491003.3491023"},"language":"en","primary_location":{"id":"doi:10.1145/3491003.3491023","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3491003.3491023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd International Conference on Distributed 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/A5103256298","display_name":"Monalisa Ghosh","orcid":"https://orcid.org/0000-0002-2605-271X"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Monalisa Ghosh","raw_affiliation_strings":["Indian Institute of Technology, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061838929","display_name":"Chetna Singhal","orcid":"https://orcid.org/0000-0002-4712-8162"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dr. Chetna Singhal","raw_affiliation_strings":["Indian Institute of Technology, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089170249","display_name":"Rushikesh Wayal","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rushikesh Wayal","raw_affiliation_strings":["IIT Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":1.2015,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86463775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"25"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9760000109672546,"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":0.9753000140190125,"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":0.8903371095657349},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.8018103837966919},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6979785561561584},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5938374996185303},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5489252209663391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5286011695861816},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5126487612724304},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4720647633075714},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.47143736481666565},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4498044550418854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4283989667892456},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4220200181007385},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32394546270370483},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.30214330554008484},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.17129486799240112}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8903371095657349},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.8018103837966919},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6979785561561584},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5938374996185303},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5489252209663391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5286011695861816},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5126487612724304},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4720647633075714},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.47143736481666565},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4498044550418854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4283989667892456},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4220200181007385},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32394546270370483},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.30214330554008484},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17129486799240112},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3491003.3491023","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3491003.3491023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd International Conference on Distributed Computing and Networking","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":20,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W2013131615","https://openalex.org/W2044338482","https://openalex.org/W2520315817","https://openalex.org/W2736492128","https://openalex.org/W2748103247","https://openalex.org/W2766773582","https://openalex.org/W2781627827","https://openalex.org/W2793889002","https://openalex.org/W2889783056","https://openalex.org/W2892888372","https://openalex.org/W2948397451","https://openalex.org/W2963552000","https://openalex.org/W3010866321","https://openalex.org/W3011159697","https://openalex.org/W3012186415","https://openalex.org/W3037693448","https://openalex.org/W3111416929","https://openalex.org/W3115006295","https://openalex.org/W3131624406"],"related_works":["https://openalex.org/W2044415708","https://openalex.org/W2170297402","https://openalex.org/W2276021436","https://openalex.org/W3199673414","https://openalex.org/W2883239366","https://openalex.org/W2792590808","https://openalex.org/W2057320948","https://openalex.org/W2118568109","https://openalex.org/W2104411120","https://openalex.org/W1543922763"],"abstract_inverted_index":{"The":[0,155],"quality-of-experience":[1],"(QoE)":[2],"is":[3,19,30,173,180],"a":[4,20,33,72],"notable":[5,23],"subjective":[6],"quality":[7,37],"metric":[8],"to":[9,61,133,166,182],"assess":[10],"the":[11,26,58,105,109,116,123,127,137,143,147,151,159,167,188],"efficiency":[12],"of":[13,36,82,101],"multimedia":[14],"streaming":[15,18,51],"services.":[16],"Video":[17],"segment":[21],"seeing":[22],"growth":[24],"in":[25,56],"past":[27],"decade.":[28],"It":[29],"affected":[31],"by":[32,126,136],"mixed":[34],"interplay":[35],"switching,":[38],"compression,":[39],"and":[40,87,164],"buffering":[41],"events":[42],"that":[43,46,76,94,129],"induce":[44],"distortions":[45],"vary":[47],"with":[48],"time.":[49],"Accurate":[50],"QoE":[52,110,134,185],"prediction":[53,111,186],"can":[54],"help":[55],"adapting":[57],"content":[59],"transmission":[60],"improve":[62],"end":[63],"viewers":[64],"experience.":[65],"In":[66,113,140],"this":[67],"work,":[68],"we":[69],"propose":[70],"DeSVQ,":[71],"deep":[73],"learning":[74],"approach":[75],"uses":[77],"an":[78],"integrated":[79],"framework":[80,172],"consisting":[81],"Convolutional":[83],"Neural":[84],"Network":[85],"(CNN)":[86],"Long":[88],"Short":[89],"Term":[90],"Memory":[91],"(LSTM)":[92],"networks":[93],"combine":[95],"multiple":[96],"feature":[97],"processing":[98],"stages,":[99],"each":[100],"them":[102],"effectively":[103],"capturing":[104],"complex":[106],"dependencies":[107,149],"underlying":[108],"process.":[112],"one":[114],"stage,":[115,142],"features":[117],"are":[118,130,161],"extracted":[119],"per":[120],"frame":[121],"from":[122,157],"distorted":[124],"videos":[125],"CNN":[128],"mapped":[131],"sequentially":[132],"scores":[135],"LSTM":[138,144],"network.":[139],"another":[141],"network":[145],"explores":[146],"temporal":[148],"using":[150],"objective":[152],"(numerical)":[153],"features.":[154],"output":[156],"both":[158],"stages":[160],"linearly":[162],"combined":[163],"fed":[165],"decision":[168],"trees.":[169],"A":[170],"cross-validation":[171],"used":[174],"for":[175],"evaluation.":[176],"Our":[177],"proposed":[178],"model":[179],"shown":[181],"perform":[183],"better":[184],"over":[187],"existing":[189],"approaches.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}