{"id":"https://openalex.org/W4384703294","doi":"https://doi.org/10.1109/qomex58391.2023.10178546","title":"Datasheet for Subjective and Objective Quality Assessment Datasets","display_name":"Datasheet for Subjective and Objective Quality Assessment Datasets","publication_year":2023,"publication_date":"2023-06-20","ids":{"openalex":"https://openalex.org/W4384703294","doi":"https://doi.org/10.1109/qomex58391.2023.10178546"},"language":"en","primary_location":{"id":"doi:10.1109/qomex58391.2023.10178546","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/qomex58391.2023.10178546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Quality of Multimedia Experience (QoMEX)","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/A5012854418","display_name":"Nabajeet Barman","orcid":"https://orcid.org/0000-0003-2587-7370"},"institutions":[{"id":"https://openalex.org/I205051169","display_name":"Kingston University","ror":"https://ror.org/05bbqza97","country_code":"GB","type":"education","lineage":["https://openalex.org/I205051169"]},{"id":"https://openalex.org/I2800314275","display_name":"Brighton and Hove City Council","ror":"https://ror.org/03d4e8748","country_code":"GB","type":"government","lineage":["https://openalex.org/I2800314275"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nabajeet Barman","raw_affiliation_strings":["Kingston University,London,United Kingdom","Brightcove UK Ltd, London, United Kingdom","Kingston University, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kingston University,London,United Kingdom","institution_ids":["https://openalex.org/I205051169"]},{"raw_affiliation_string":"Brightcove UK Ltd, London, United Kingdom","institution_ids":["https://openalex.org/I2800314275"]},{"raw_affiliation_string":"Kingston University, London, United Kingdom","institution_ids":["https://openalex.org/I205051169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047345539","display_name":"Yuriy A. Reznik","orcid":"https://orcid.org/0000-0003-4233-5805"},"institutions":[{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuriy Reznik","raw_affiliation_strings":["Brightcove Inc,Seattle,USA","Brightcove Inc, Seattle, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brightcove Inc,Seattle,USA","institution_ids":["https://openalex.org/I58610484"]},{"raw_affiliation_string":"Brightcove Inc, Seattle, USA","institution_ids":["https://openalex.org/I58610484"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015460933","display_name":"Maria G. Martini","orcid":"https://orcid.org/0000-0002-8710-7550"},"institutions":[{"id":"https://openalex.org/I205051169","display_name":"Kingston University","ror":"https://ror.org/05bbqza97","country_code":"GB","type":"education","lineage":["https://openalex.org/I205051169"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Maria Martini","raw_affiliation_strings":["Kingston University,London,United Kingdom","Kingston University, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kingston University,London,United Kingdom","institution_ids":["https://openalex.org/I205051169"]},{"raw_affiliation_string":"Kingston University, London, United Kingdom","institution_ids":["https://openalex.org/I205051169"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2428,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55358416,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"111","last_page":"114"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9887999892234802,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.978600025177002,"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/datasheet","display_name":"Datasheet","score":0.9409397840499878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.837803065776825},{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.8027940392494202},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6302249431610107},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6142120957374573},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5101245045661926},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4613068401813507},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4526885747909546},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.4246794581413269},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4072834551334381},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39762359857559204}],"concepts":[{"id":"https://openalex.org/C2781384022","wikidata":"https://www.wikidata.org/wiki/Q1172383","display_name":"Datasheet","level":2,"score":0.9409397840499878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.837803065776825},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.8027940392494202},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6302249431610107},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6142120957374573},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5101245045661926},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4613068401813507},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4526885747909546},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.4246794581413269},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4072834551334381},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39762359857559204},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/qomex58391.2023.10178546","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/qomex58391.2023.10178546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2130204178","https://openalex.org/W2133665775","https://openalex.org/W2167541073","https://openalex.org/W2897042519","https://openalex.org/W2921769405","https://openalex.org/W3100279624","https://openalex.org/W3212368439","https://openalex.org/W4223892461","https://openalex.org/W4238663968","https://openalex.org/W4384703222","https://openalex.org/W6679182178","https://openalex.org/W6684386430"],"related_works":["https://openalex.org/W2572450784","https://openalex.org/W2098558496","https://openalex.org/W4245685577","https://openalex.org/W2790844566","https://openalex.org/W2291072988","https://openalex.org/W3082523300","https://openalex.org/W2019790852","https://openalex.org/W2059629300","https://openalex.org/W153570363","https://openalex.org/W1496483304"],"abstract_inverted_index":{"Over":[0],"the":[1,17,28,32,38,58,61,73,78,92,95,110,117,166],"years,":[2],"many":[3],"subjective":[4,197],"and":[5,13,75,104,149,171,174,198],"objective":[6,150,199],"quality":[7,151],"assessment":[8,152],"datasets":[9,153,173],"have":[10],"been":[11],"created":[12],"made":[14],"available":[15,183],"to":[16,57,87,90,115,164],"research":[18],"community.":[19],"However,":[20],"there":[21],"is":[22,52,85,101,182],"no":[23],"standard":[24],"process":[25,119,168],"for":[26,143,154,169],"documenting":[27,144],"various":[29,145],"aspects":[30,146],"of":[31,42,54,60,72,77,112,126,147,192],"dataset,":[33],"such":[34,81],"as":[35,63],"details":[36],"about":[37],"source":[39],"sequences,":[40],"number":[41],"test":[43,45],"subjects,":[44],"methodology,":[46],"encoding":[47],"settings,":[48],"etc.":[49],"Such":[50],"information":[51,93],"often":[53],"great":[55],"importance":[56],"users":[59],"dataset":[62],"it":[64,84],"can":[65,120],"help":[66],"them":[67],"get":[68],"a":[69,82,102,113,140,188,193],"quick":[70],"understanding":[71],"motivation":[74],"scope":[76],"dataset.":[79],"Without":[80],"template,":[83],"left":[86],"each":[88],"reader":[89],"collate":[91],"from":[94],"relevant":[96],"publication":[97],"or":[98],"website,":[99],"which":[100],"tedious":[103],"time-consuming":[105],"process.":[106],"In":[107],"some":[108,127],"cases,":[109],"absence":[111],"template":[114,142,181],"guide":[116],"documentation":[118,167],"result":[121],"in":[122,160],"an":[123],"unintentional":[124],"omission":[125],"important":[128],"information.":[129],"This":[130],"paper":[131],"addresses":[132],"this":[133,161],"simple":[134],"but":[135],"significant":[136],"gap":[137],"by":[138],"proposing":[139],"datasheet":[141,180],"sub-jective":[148],"multimedia":[155],"data.":[156],"The":[157,178],"contributions":[158],"presented":[159],"work":[162],"aim":[163],"simplify":[165],"existing":[170],"new":[172],"improve":[175],"their":[176],"reproducibility.":[177],"proposed":[179],"on":[184],"GitHub1,":[185],"along":[186],"with":[187],"few":[189,194],"sample":[190],"datasheets":[191],"open-source":[195],"audiovisual":[196],"datasets.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
