{"id":"https://openalex.org/W1558019217","doi":"https://doi.org/10.1109/qomex.2015.7148142","title":"QoE beyond the MOS: Added value using quantiles and distributions","display_name":"QoE beyond the MOS: Added value using quantiles and distributions","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1558019217","doi":"https://doi.org/10.1109/qomex.2015.7148142","mag":"1558019217"},"language":"en","primary_location":{"id":"doi:10.1109/qomex.2015.7148142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2015.7148142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX)","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/A5025794971","display_name":"Tobias Ho\u00dffeld","orcid":"https://orcid.org/0000-0003-0173-595X"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tobias Ho\u00dffeld","raw_affiliation_strings":["University of Duisburg-Essen, Modeling of Adaptive Systems, Essen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Duisburg-Essen, Modeling of Adaptive Systems, Essen, Germany","institution_ids":["https://openalex.org/I62318514"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032464896","display_name":"Poul E. Heegaard","orcid":"https://orcid.org/0000-0003-0083-5860"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Poul E. Heegaard","raw_affiliation_strings":["Department of Telematics, Norwegian University of Science and Technology (NTNU)","[Department of Telematics, Norwegian University of Science and Technology (NTNU)]"],"affiliations":[{"raw_affiliation_string":"Department of Telematics, Norwegian University of Science and Technology (NTNU)","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"[Department of Telematics, Norwegian University of Science and Technology (NTNU)]","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112134359","display_name":"Mart\u0131\u0301n Varela","orcid":null},"institutions":[{"id":"https://openalex.org/I87653560","display_name":"VTT Technical Research Centre of Finland","ror":"https://ror.org/04b181w54","country_code":"FI","type":"nonprofit","lineage":["https://openalex.org/I4210089493","https://openalex.org/I87653560"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Martin Varela","raw_affiliation_strings":["VTT Technical Research Centre of Finland","[VTT Technical Research Centre of Finland.]"],"affiliations":[{"raw_affiliation_string":"VTT Technical Research Centre of Finland","institution_ids":["https://openalex.org/I87653560"]},{"raw_affiliation_string":"[VTT Technical Research Centre of Finland.]","institution_ids":["https://openalex.org/I87653560"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025794971"],"corresponding_institution_ids":["https://openalex.org/I62318514"],"apc_list":null,"apc_paid":null,"fwci":1.8704,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.90105758,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"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":0.9995999932289124,"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":0.9995999932289124,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9822999835014343,"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/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.8453006744384766},{"id":"https://openalex.org/keywords/mean-opinion-score","display_name":"Mean opinion score","score":0.7541728019714355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6203227043151855},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.5804377794265747},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.5556961297988892},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.552394688129425},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4700640141963959},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4669925272464752},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4253350496292114},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.39004945755004883},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38325756788253784},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.3492756485939026},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30722546577453613},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24641892313957214},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11187717318534851},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10564658045768738}],"concepts":[{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.8453006744384766},{"id":"https://openalex.org/C62897895","wikidata":"https://www.wikidata.org/wiki/Q1915482","display_name":"Mean opinion score","level":3,"score":0.7541728019714355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6203227043151855},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.5804377794265747},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.5556961297988892},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.552394688129425},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4700640141963959},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4669925272464752},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4253350496292114},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39004945755004883},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38325756788253784},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.3492756485939026},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30722546577453613},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24641892313957214},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11187717318534851},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10564658045768738},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/qomex.2015.7148142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2015.7148142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.715.7838","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.715.7838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cnl.fi/mvarela/pdf/varela-qomex2015-2.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W95300890","https://openalex.org/W1737537661","https://openalex.org/W1973304292","https://openalex.org/W1975163393","https://openalex.org/W1995875735","https://openalex.org/W2013861934","https://openalex.org/W2055038638","https://openalex.org/W2056930330","https://openalex.org/W2142193462","https://openalex.org/W2332306877","https://openalex.org/W2505491816","https://openalex.org/W2975800720"],"related_works":["https://openalex.org/W2516823580","https://openalex.org/W2044415708","https://openalex.org/W2023826535","https://openalex.org/W1996783258","https://openalex.org/W3037882807","https://openalex.org/W3031398062","https://openalex.org/W3127182254","https://openalex.org/W3102837312","https://openalex.org/W2969061934","https://openalex.org/W3173772969"],"abstract_inverted_index":{"Traditionally,":[0],"Quality":[1],"of":[2,28,62,76,84,101,109,114,130],"Experience":[3],"(QoE)":[4],"assessment":[5],"results":[6],"(or":[7],"objective":[8],"estimations":[9],"thereof)":[10],"are":[11,30,66],"presented":[12],"as":[13,69],"a":[14,19,41,73,120,137],"single":[15],"scalar":[16],"value,":[17],"typically":[18],"Mean":[20],"Opinion":[21],"Score":[22],"(MOS).":[23],"While":[24],"useful,":[25],"the":[26,64,77,127],"limitations":[27],"MOS":[29,104,124],"evident":[31],"even":[32],"in":[33,51,147],"its":[34],"name;":[35],"for":[36,152],"many":[37],"applications,":[38],"just":[39],"having":[40],"mean":[42],"value":[43],"is":[44,80],"simply":[45],"not":[46],"enough.":[47],"For":[48],"service":[49],"providers":[50],"particular,":[52],"it":[53],"would":[54],"be":[55],"more":[56],"interesting":[57],"to":[58,70,97,122,149],"have":[59],"an":[60],"idea":[61],"how":[63],"scores":[65,132,142],"distributed,":[67],"so":[68],"ensure":[71],"that":[72],"certain":[74],"portion":[75],"user":[78,106,110],"population":[79],"experiencing":[81],"satisfactory":[82],"levels":[83],"quality,":[85],"thus":[86],"reducing":[87],"churn.":[88],"In":[89],"this":[90],"paper":[91],"we":[92,118],"propose":[93,119],"different":[94],"statistical":[95],"measures":[96],"express":[98],"important":[99],"aspects":[100],"QoE":[102],"beyond":[103],"like":[105],"diversity,":[107],"uncertainty":[108],"rating":[111],"distributions,":[112],"ratio":[113],"dissatisfied":[115],"users.":[116],"Further,":[117],"way":[121],"use":[123],"values":[125],"and":[126,143],"standard":[128,145],"deviation":[129],"opinion":[131],"(SOS)":[133],"hypothesis,":[134],"which":[135],"postulates":[136],"quadratic":[138],"relation":[139],"between":[140],"subjective":[141,153],"their":[144],"deviation,":[146],"order":[148],"derive":[150],"quantiles":[151],"ratings.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
