{"id":"https://openalex.org/W2772024187","doi":"https://doi.org/10.1109/tmm.2017.2781362","title":"Perceptual Quality Maximization for Video Calls With Packet Losses by Optimizing FEC, Frame Rate, and Quantization","display_name":"Perceptual Quality Maximization for Video Calls With Packet Losses by Optimizing FEC, Frame Rate, and Quantization","publication_year":2017,"publication_date":"2017-12-08","ids":{"openalex":"https://openalex.org/W2772024187","doi":"https://doi.org/10.1109/tmm.2017.2781362","mag":"2772024187"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2017.2781362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2017.2781362","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Transactions on Multimedia","raw_type":"journal-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/A5065781285","display_name":"Eymen Kurdoglu","orcid":"https://orcid.org/0000-0002-7770-3148"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Eymen Kurdoglu","raw_affiliation_strings":["Department of Electrical and Computer Engineer-ing, New York University Tandon School of Engineering, Brooklyn, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-7770-3148","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineer-ing, New York University Tandon School of Engineering, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100769300","display_name":"Yong Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Department of Electrical and Computer Engineer-ing, New York University Tandon School of Engineering, Brooklyn, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineer-ing, New York University Tandon School of Engineering, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100319039","display_name":"Yao Wang","orcid":"https://orcid.org/0000-0003-3199-3802"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yao Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineer-ing, New York University Tandon School of Engineering, Brooklyn, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineer-ing, New York University Tandon School of Engineering, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065781285"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":0.7456,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.72735328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"20","issue":"7","first_page":"1876","last_page":"1887"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998000264167786,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9994000196456909,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9990000128746033,"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/computer-science","display_name":"Computer science","score":0.7909858822822571},{"id":"https://openalex.org/keywords/forward-error-correction","display_name":"Forward error correction","score":0.603435754776001},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.48751184344291687},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.46210843324661255},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.449384868144989},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.42835038900375366},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3865094780921936},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23849114775657654},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.19163447618484497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7909858822822571},{"id":"https://openalex.org/C202932441","wikidata":"https://www.wikidata.org/wiki/Q55611017","display_name":"Forward error correction","level":3,"score":0.603435754776001},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.48751184344291687},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.46210843324661255},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.449384868144989},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.42835038900375366},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3865094780921936},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23849114775657654},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.19163447618484497},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2017.2781362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2017.2781362","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1593683169","https://openalex.org/W1603895355","https://openalex.org/W1694165248","https://openalex.org/W1971484619","https://openalex.org/W1974449371","https://openalex.org/W1975246582","https://openalex.org/W1980106151","https://openalex.org/W1994977274","https://openalex.org/W1995580774","https://openalex.org/W2006649235","https://openalex.org/W2059705283","https://openalex.org/W2063142364","https://openalex.org/W2066115669","https://openalex.org/W2069499077","https://openalex.org/W2074160381","https://openalex.org/W2100194519","https://openalex.org/W2105367459","https://openalex.org/W2119665914","https://openalex.org/W2120033267","https://openalex.org/W2130660429","https://openalex.org/W2135948427","https://openalex.org/W2151240224","https://openalex.org/W2151927301","https://openalex.org/W2158603205","https://openalex.org/W2210387432","https://openalex.org/W2301604411","https://openalex.org/W2342810639","https://openalex.org/W2397143392","https://openalex.org/W2419102130","https://openalex.org/W2550799741","https://openalex.org/W3005333053","https://openalex.org/W3087929315","https://openalex.org/W3161783361","https://openalex.org/W6637388848"],"related_works":["https://openalex.org/W1595178832","https://openalex.org/W2319273176","https://openalex.org/W2979160909","https://openalex.org/W2114837856","https://openalex.org/W2109933848","https://openalex.org/W2052524958","https://openalex.org/W2109587342","https://openalex.org/W4290098608","https://openalex.org/W3002345526","https://openalex.org/W160083065"],"abstract_inverted_index":{"We":[0,83,137,161],"consider":[1],"video":[2],"calls":[3],"affected":[4],"by":[5,93],"bursty":[6,213],"packet":[7,191],"losses,":[8,166,214],"where":[9],"frame-level":[10],"forward":[11],"error":[12],"correction":[13],"(FEC)":[14],"is":[15,171,182,195,208],"employed":[16],"due":[17],"to":[18,41,156,210],"delay":[19],"constraints,":[20],"and":[21,24,49,67,91,100,113,121,124,143,150,201,230,241,245],"damaged":[22],"frames":[23],"others":[25],"predicted":[26],"from":[27],"them":[28],"are":[29,220],"discarded.":[30],"Here,":[31],"a":[32,53,133,151,242],"high":[33,57],"frame":[34,65,249],"rate":[35],"(FR)":[36],"at":[37,56,184,198],"low":[38,54,179],"bitrates":[39,58],"leads":[40],"large":[42],"quantization":[43],"step":[44],"sizes":[45],"(QS),":[46],"small":[47],"frames,":[48],"suboptimal":[50],"FEC,":[51],"whereas":[52],"FR":[55,142,181],"reduces":[59],"the":[60,85,96,101,122,130,140,144,158,167,176,224],"perceptual":[61,111],"quality.":[62],"To":[63],"mitigate":[64],"losses":[66],"freezing,":[68],"hierarchical-P":[69],"(hierP)":[70],"temporal":[71],"layering":[72],"can":[73],"be":[74],"used":[75],"with":[76,189,223],"lower":[77],"coding":[78],"efficiency":[79],"than":[80,236],"IPPP":[81,237],"coding.":[82],"study":[84],"received":[86],"quality":[87,112],"maximization":[88],"for":[89,139,164,238],"hierP":[90,231],"IPPP,":[92,202],"jointly":[94],"optimizing":[95],"encoding":[97,125,141,180],"FR,":[98,126],"QS,":[99,120],"FEC":[102,153,159,168],"redundancy,":[103],"under":[104],"sending":[105,186],"bitrate":[106,115,145,169,187],"constraints.":[107],"Building":[108],"upon":[109],"Q-STAR":[110,206,234],"R-STAR":[114],"models,":[116],"which":[117],"depend":[118],"on":[119],"decoded":[123,248],"respectively,":[127],"we":[128,215],"cast":[129],"problem":[131],"as":[132],"combinatorial":[134],"optimization":[135],"problem.":[136],"solve":[138],"using":[146],"exhaustive":[147],"search,":[148],"hill-climbing,":[149],"greedy":[152],"distribution":[154],"algorithm":[155],"determine":[157],"redundancies.":[160],"show":[162,216],"that,":[163],"random":[165],"ratio":[170],"an":[172],"affine":[173],"function":[174],"of":[175,247],"packet-loss":[177],"rate;":[178],"preferred":[183],"wider":[185],"ranges":[188],"higher":[190,199,205,233],"loss;":[192],"layer":[193,218],"protection":[194],"more":[196],"even":[197],"bitrates;":[200],"while":[203],"achieving":[204],"scores,":[207],"prone":[209],"freezing.":[211],"For":[212],"that":[217],"redundancies":[219],"higher,":[221],"rising":[222],"mean":[225,244],"burst":[226],"length,":[227],"reaching":[228],"80%;":[229],"achieves":[232],"scores":[235],"longer":[239],"bursts,":[240],"smaller":[243],"variance":[246],"distances.":[250]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
