{"id":"https://openalex.org/W4220997001","doi":"https://doi.org/10.1145/3528173","title":"Deep Inter Prediction with Error-Corrected Auto-Regressive Network for Video Coding","display_name":"Deep Inter Prediction with Error-Corrected Auto-Regressive Network for Video Coding","publication_year":2022,"publication_date":"2022-04-01","ids":{"openalex":"https://openalex.org/W4220997001","doi":"https://doi.org/10.1145/3528173"},"language":"en","primary_location":{"id":"doi:10.1145/3528173","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3528173","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5064024724","display_name":"Yuzhang Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuzhang Hu","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070884682","display_name":"Wenhan Yang","orcid":"https://orcid.org/0000-0002-1692-0069"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhan Yang","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100761525","display_name":"Jiaying Liu","orcid":"https://orcid.org/0000-0002-0468-9576"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaying Liu","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001396675","display_name":"Zongming Guo","orcid":"https://orcid.org/0000-0002-4944-9621"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongming Guo","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064024724"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.3371,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78883086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"19","issue":"1s","first_page":"1","last_page":"22"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8468568325042725},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6105045080184937},{"id":"https://openalex.org/keywords/autoregressive\u2013moving-average-model","display_name":"Autoregressive\u2013moving-average model","score":0.580411970615387},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.5624264478683472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.513606071472168},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.46443256735801697},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4614149332046509},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4285741150379181},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.42543110251426697},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4170282483100891},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3801560699939728},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34715014696121216},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.3379879295825958},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12674054503440857},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1068505048751831}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8468568325042725},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6105045080184937},{"id":"https://openalex.org/C74883015","wikidata":"https://www.wikidata.org/wiki/Q290467","display_name":"Autoregressive\u2013moving-average model","level":3,"score":0.580411970615387},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.5624264478683472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.513606071472168},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.46443256735801697},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4614149332046509},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4285741150379181},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.42543110251426697},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4170282483100891},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3801560699939728},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34715014696121216},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.3379879295825958},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12674054503440857},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1068505048751831},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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":1,"locations":[{"id":"doi:10.1145/3528173","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3528173","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1102186166","display_name":null,"funder_award_id":"62172020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2024353898","https://openalex.org/W2064675550","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2186222003","https://openalex.org/W2548527721","https://openalex.org/W2565764649","https://openalex.org/W2623012778","https://openalex.org/W2769654144","https://openalex.org/W2791741309","https://openalex.org/W2793114969","https://openalex.org/W2804708059","https://openalex.org/W2901921200","https://openalex.org/W2913664580","https://openalex.org/W2943766642","https://openalex.org/W2946020414","https://openalex.org/W2963003152","https://openalex.org/W2995368614","https://openalex.org/W2997829087","https://openalex.org/W3026081963","https://openalex.org/W3102015846","https://openalex.org/W3148722492","https://openalex.org/W4240241513","https://openalex.org/W4248927948","https://openalex.org/W4289082958","https://openalex.org/W6757903682"],"related_works":["https://openalex.org/W2964213236","https://openalex.org/W2163719598","https://openalex.org/W3161919736","https://openalex.org/W2387018512","https://openalex.org/W2107680156","https://openalex.org/W4301184752","https://openalex.org/W199725827","https://openalex.org/W4248896451","https://openalex.org/W4394470125","https://openalex.org/W1983856919"],"abstract_inverted_index":{"Modern":[0],"codecs":[1,28],"remove":[2],"temporal":[3,180,198],"redundancy":[4],"of":[5,106,128,162,185],"a":[6,34,91,212,284],"video":[7],"via":[8,65],"inter":[9],"prediction,":[10],"i.e.,":[11,215,287],"searching":[12],"previously":[13,62,151],"coded":[14],"frames":[15,59,64],"for":[16,116,159,222,257,294],"similar":[17],"blocks":[18,40],"and":[19,42,81,112,134,219,227,236,253,266,270,291,299,308],"storing":[20],"motion":[21,31,79],"vectors":[22],"to":[23,45,47,68,77,121,166,202],"save":[24],"bit-rates.":[25],"However,":[26],"existing":[27],"adopt":[29],"block-level":[30],"estimation,":[32],"where":[33,138,196],"block":[35],"is":[36,43,74,188,200],"regressed":[37],"by":[38],"reference":[39,58,117],"linearly":[41],"doomed":[44],"fail":[46],"deal":[48],"with":[49,61,103,191],"non-linear":[50],"motions.":[51],"In":[52],"this":[53],"article,":[54],"we":[55,89],"generate":[56],"virtual":[57],"(VRFs)":[60],"reconstructed":[63,152],"deep":[66,93,113],"networks":[67,114],"offer":[69],"an":[70],"additional":[71],"candidate,":[72],"which":[73,231,303],"not":[75],"constrained":[76],"linear":[78],"structure":[80],"further":[82,189],"significantly":[83],"improves":[84],"coding":[85,240,312],"efficiency.":[86],"More":[87],"specifically,":[88],"propose":[90],"novel":[92],"Auto-Regressive":[94,99],"Moving-Average":[95],"(ARMA)":[96],"model,":[97],"Error-Corrected":[98],"Network":[100],"(ECAR-Net),":[101],"equipped":[102],"the":[104,107,125,139,143,146,155,160,163,172,182,192,223,234,243,258,262,295,306],"powers":[105],"conventional":[108,122],"statistic":[109,173],"ARMA":[110,123],"models":[111,175],"jointly":[115],"frame":[118],"prediction.":[119],"Similar":[120],"models,":[124],"ECAR-Net":[126,187,209,281],"consists":[127],"two":[129],"stages:":[130],"Auto-Regression":[131],"(AR)":[132],"stage":[133,165],"Error-Correction":[135],"(EC)":[136],"stage,":[137],"first":[140],"part":[141],"predicts":[142],"signal":[144],"at":[145],"current":[147],"time-step":[148],"based":[149],"on":[150,178,250,273],"frames,":[153],"while":[154],"second":[156],"one":[157],"compensates":[158],"output":[161],"AR":[164,174,183],"obtain":[167],"finer":[168],"details.":[169],"Different":[170],"from":[171],"only":[176],"focusing":[177],"short-term":[179],"dependency,":[181],"model":[184],"our":[186,246],"injected":[190],"long-term":[193],"dynamics":[194,218,290],"mechanism,":[195],"long":[197],"information":[199],"utilized":[201],"help":[203],"predict":[204],"motions":[205],"more":[206],"accurately.":[207],"Furthermore,":[208,280],"works":[210,282],"in":[211,238,283,310],"configuration-adaptive":[213,285],"way,":[214,286],"using":[216,288],"different":[217,289],"error":[220,292],"definitions":[221,293],"Low":[224,263,296],"Delay":[225,264,297],"B":[226,265,298],"Random":[228,267,300],"Access":[229,268,301],"configurations,":[230,302],"helps":[232,304],"improve":[233,305],"adaptivity":[235,307],"generality":[237,309],"diverse":[239,311],"scenarios.":[241,313],"With":[242],"well-designed":[244],"network,":[245],"method":[247],"surpasses":[248],"HEVC":[249],"average":[251,274],"5.0%":[252],"6.6%":[254],"BD-rate":[255,276],"saving":[256,277],"luma":[259],"component":[260],"under":[261],"configurations":[269],"also":[271],"obtains":[272],"1.54%":[275],"over":[278],"VVC.":[279]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}
