{"id":"https://openalex.org/W3091814304","doi":"https://doi.org/10.1109/lsp.2020.3028687","title":"Capturing Video Frame Rate Variations via Entropic Differencing","display_name":"Capturing Video Frame Rate Variations via Entropic Differencing","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3091814304","doi":"https://doi.org/10.1109/lsp.2020.3028687","mag":"3091814304"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.3028687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3028687","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2006.11424","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Pavan C. Madhusudana","orcid":"https://orcid.org/0000-0002-1333-7097"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pavan C. Madhusudana","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Neil Birkbeck","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil Birkbeck","raw_affiliation_strings":["Google Inc., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google Inc., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yilin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yilin Wang","raw_affiliation_strings":["Google Inc., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google Inc., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Balu Adsumilli","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Balu Adsumilli","raw_affiliation_strings":["Google Inc., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google Inc., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":null,"display_name":"Alan C. Bovik","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan C. Bovik","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":0.9814,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.78670678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"27","issue":null,"first_page":"1809","last_page":"1813"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.7562999725341797,"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":0.7562999725341797,"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":0.17260000109672546,"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/T11439","display_name":"Video Analysis and Summarization","score":0.018200000748038292,"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/frame","display_name":"Frame (networking)","score":0.6431000232696533},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.588100016117096},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5288000106811523},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5249999761581421},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.5038999915122986},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.41920000314712524},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.3887999951839447},{"id":"https://openalex.org/keywords/residual-frame","display_name":"Residual frame","score":0.36959999799728394},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.3693999946117401}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7771000266075134},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6431000232696533},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.588100016117096},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5288000106811523},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5249999761581421},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.5038999915122986},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4832000136375427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47380000352859497},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.41920000314712524},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.3887999951839447},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36970001459121704},{"id":"https://openalex.org/C204641915","wikidata":"https://www.wikidata.org/wiki/Q7315509","display_name":"Residual frame","level":4,"score":0.36959999799728394},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3693999946117401},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3677000105381012},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.3617999851703644},{"id":"https://openalex.org/C2780236118","wikidata":"https://www.wikidata.org/wiki/Q2916762","display_name":"High-definition video","level":2,"score":0.35260000824928284},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3416000008583069},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.3296000063419342},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.3278000056743622},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32710000872612},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.30329999327659607},{"id":"https://openalex.org/C125864890","wikidata":"https://www.wikidata.org/wiki/Q1262687","display_name":"Intra-frame","level":3,"score":0.29100000858306885},{"id":"https://openalex.org/C2986160907","wikidata":"https://www.wikidata.org/wiki/Q220499","display_name":"Video streaming","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.26510000228881836},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C3020028006","wikidata":"https://www.wikidata.org/wiki/Q9158","display_name":"Electronic mail","level":2,"score":0.2522999942302704}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2020.3028687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3028687","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2006.11424","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.11424","pdf_url":"https://arxiv.org/pdf/2006.11424","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2006.11424","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.11424","pdf_url":"https://arxiv.org/pdf/2006.11424","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1938217105","https://openalex.org/W1973207880","https://openalex.org/W1982471090","https://openalex.org/W2037243393","https://openalex.org/W2044338482","https://openalex.org/W2046119925","https://openalex.org/W2048042940","https://openalex.org/W2090190055","https://openalex.org/W2102166818","https://openalex.org/W2104823021","https://openalex.org/W2114173475","https://openalex.org/W2117535912","https://openalex.org/W2125527601","https://openalex.org/W2132549992","https://openalex.org/W2133665775","https://openalex.org/W2140557988","https://openalex.org/W2141983208","https://openalex.org/W2142731874","https://openalex.org/W2153582625","https://openalex.org/W2156447271","https://openalex.org/W2163534628","https://openalex.org/W2165222134","https://openalex.org/W2189027750","https://openalex.org/W2314091824","https://openalex.org/W2368744241","https://openalex.org/W2603172850","https://openalex.org/W2735448770","https://openalex.org/W2744786564","https://openalex.org/W2775793565","https://openalex.org/W2791497415","https://openalex.org/W2888880110","https://openalex.org/W2890084431","https://openalex.org/W2900994596","https://openalex.org/W6630062068","https://openalex.org/W6780928891"],"related_works":[],"abstract_inverted_index":{"High":[0],"frame":[1,45,56,116],"rate":[2,46,57],"videos":[3],"are":[4],"increasingly":[5],"getting":[6],"popular":[7],"in":[8,42,80,91,127],"recent":[9],"years,":[10],"driven":[11],"by":[12],"the":[13,17,32,36,53,81,89,109,128,137],"strong":[14],"requirements":[15,38],"of":[16,26,44,55,136],"entertainment":[18],"and":[19,39,83,95,104,111,133],"streaming":[20],"industries":[21],"to":[22,28,51],"provide":[23],"high":[24],"quality":[25,41,92],"experiences":[27],"consumers.":[29],"To":[30],"achieve":[31],"best":[33],"trade-offs":[34],"between":[35,93],"bandwidth":[37],"video":[40,59],"terms":[43],"adaptation,":[47],"it":[48],"is":[49,101],"imperative":[50],"understand":[52],"effects":[54],"on":[58,73],"quality.":[60],"In":[61],"this":[62],"direction,":[63],"we":[64],"devise":[65],"a":[66,74],"novel":[67],"statistical":[68],"entropic":[69],"differencing":[70],"method":[71],"based":[72],"Generalized":[75],"Gaussian":[76],"Distribution":[77],"model":[78,120],"expressed":[79],"spatial":[82],"temporal":[84],"band-pass":[85],"domains,":[86],"which":[87],"measures":[88],"difference":[90],"reference":[94,110],"distorted":[96,112],"videos.":[97],"The":[98],"proposed":[99,119,130],"design":[100],"highly":[102],"generalizable":[103],"can":[105],"be":[106],"employed":[107],"when":[108,140],"sequences":[113],"have":[114],"different":[115],"rates.":[117],"Our":[118],"correlates":[121],"very":[122],"well":[123],"with":[124,142],"subjective":[125],"scores":[126],"recently":[129],"LIVE-YT-HFR":[131],"database":[132],"achieves":[134],"state":[135],"art":[138],"performance":[139],"compared":[141],"existing":[143],"methodologies.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2020-10-15T00:00:00"}
