{"id":"https://openalex.org/W2612870373","doi":"https://doi.org/10.1109/qomex.2017.7965660","title":"On the performance of objective metrics for omnidirectional visual content","display_name":"On the performance of objective metrics for omnidirectional visual content","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2612870373","doi":"https://doi.org/10.1109/qomex.2017.7965660","mag":"2612870373"},"language":"en","primary_location":{"id":"doi:10.1109/qomex.2017.7965660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2017.7965660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/227464","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033749028","display_name":"Evgeniy Upenik","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Evgeniy Upenik","raw_affiliation_strings":["Multimedia Signal Processing Group (MMSPG), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Signal Processing Group (MMSPG), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028824167","display_name":"Martin \u0158e\u0159\u00e1bek","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Martin Rerabek","raw_affiliation_strings":["Multimedia Signal Processing Group (MMSPG), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Signal Processing Group (MMSPG), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082188773","display_name":"Touradj Ebrahimi","orcid":"https://orcid.org/0000-0002-9900-3687"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Touradj Ebrahimi","raw_affiliation_strings":["Multimedia Signal Processing Group (MMSPG), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Signal Processing Group (MMSPG), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9957000017166138,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/omnidirectional-antenna","display_name":"Omnidirectional antenna","score":0.7792276740074158},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7408547401428223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.636206328868866},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.5626083612442017},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5618116855621338},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.554827094078064},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5340052843093872},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5218100547790527},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.4318680167198181},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.42021942138671875},{"id":"https://openalex.org/keywords/subjective-video-quality","display_name":"Subjective video quality","score":0.41258931159973145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3440094590187073},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11529570817947388},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06557494401931763}],"concepts":[{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.7792276740074158},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7408547401428223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.636206328868866},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.5626083612442017},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5618116855621338},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.554827094078064},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5340052843093872},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5218100547790527},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.4318680167198181},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.42021942138671875},{"id":"https://openalex.org/C114227958","wikidata":"https://www.wikidata.org/wiki/Q7631422","display_name":"Subjective video quality","level":4,"score":0.41258931159973145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3440094590187073},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11529570817947388},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06557494401931763},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/qomex.2017.7965660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2017.7965660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.epfl.ch:227464","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/227464","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:227464","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/227464","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1537399482","https://openalex.org/W1983367363","https://openalex.org/W1993721485","https://openalex.org/W2009454845","https://openalex.org/W2038818196","https://openalex.org/W2047264313","https://openalex.org/W2115728367","https://openalex.org/W2118603960","https://openalex.org/W2133706154","https://openalex.org/W2245625259","https://openalex.org/W2335613603","https://openalex.org/W2517351156","https://openalex.org/W2519800386","https://openalex.org/W2529231049","https://openalex.org/W2584910282","https://openalex.org/W2963439135","https://openalex.org/W3133570265"],"related_works":["https://openalex.org/W4388138958","https://openalex.org/W1996919562","https://openalex.org/W2046455617","https://openalex.org/W4390244677","https://openalex.org/W2809031010","https://openalex.org/W2061696964","https://openalex.org/W4205669608","https://openalex.org/W2343776926","https://openalex.org/W2104624537","https://openalex.org/W2052044332"],"abstract_inverted_index":{"Omnidirectional":[0],"image":[1],"and":[2,12,80,102],"video":[3],"have":[4,22,38],"gained":[5],"popularity":[6],"thanks":[7],"to":[8,104,113],"availability":[9],"of":[10,18,25,32,59,72,92,116,136],"capture":[11],"display":[13],"devices":[14],"for":[15,96,141,149,158],"this":[16,53],"type":[17],"content.":[19,34,144],"Recent":[20],"studies":[21],"assessed":[23],"performance":[24,115,135],"objective":[26,93,118,139],"metrics":[27,95,140,146],"in":[28,76,111,121],"predicting":[29,122],"visual":[30,124,143],"quality":[31,66,94,119,125],"omnidirectional":[33,142],"These":[35],"metrics,":[36],"however,":[37],"not":[39,153],"been":[40],"rigorously":[41],"validated":[42],"by":[43,128],"comparing":[44],"their":[45,64],"prediction":[46],"results":[47],"with":[48,63,82],"ground-truth":[49],"subjective":[50,65,105,123],"scores.":[51,106],"In":[52],"paper,":[54],"we":[55],"present":[56],"a":[57],"set":[58,69],"360-degree":[60,150],"images":[61],"along":[62],"ratings.":[67],"The":[68],"is":[70,99,109],"composed":[71],"four":[73,87],"contents":[74],"represented":[75],"two":[77],"geometric":[78],"projections":[79],"compressed":[81],"three":[83],"different":[84,88],"codecs":[85],"at":[86],"bitrates.":[89],"A":[90],"range":[91],"each":[97,117],"stimulus":[98],"then":[100],"computed":[101],"compared":[103],"Statistical":[107],"analysis":[108],"performed":[110],"order":[112],"assess":[114],"metric":[120],"as":[126],"perceived":[127],"human":[129],"observers.":[130],"Results":[131],"show":[132],"the":[133,137],"estimated":[134],"state-of-the-art":[138],"Objective":[145],"specifically":[147],"designed":[148,157],"content":[151],"do":[152],"outperform":[154],"conventional":[155],"methods":[156],"2D":[159],"images.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
