{"id":"https://openalex.org/W3210946101","doi":"https://doi.org/10.1109/tcsvt.2021.3123621","title":"CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhancement","display_name":"CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhancement","publication_year":2021,"publication_date":"2021-10-27","ids":{"openalex":"https://openalex.org/W3210946101","doi":"https://doi.org/10.1109/tcsvt.2021.3123621","mag":"3210946101"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2021.3123621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3123621","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/76440/2/Slabaugh%20CBREN%20Convolutional%20Neural%202021%20Accepted.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071763759","display_name":"Hengrun Zhao","orcid":"https://orcid.org/0000-0002-2533-300X"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hengrun Zhao","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063699066","display_name":"Bolun Zheng","orcid":"https://orcid.org/0000-0001-8788-1725"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bolun Zheng","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068360563","display_name":"Shanxin Yuan","orcid":"https://orcid.org/0000-0002-6918-8588"},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Shanxin Yuan","raw_affiliation_strings":["Noah’s Ark Lab, Huawei Technologies, London, U.K"],"affiliations":[{"raw_affiliation_string":"Noah’s Ark Lab, Huawei Technologies, London, U.K","institution_ids":["https://openalex.org/I4210159102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408716","display_name":"Hua Zhang","orcid":"https://orcid.org/0000-0002-7627-4142"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Zhang","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054311881","display_name":"Chenggang Yan","orcid":"https://orcid.org/0000-0003-1204-0512"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenggang Yan","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liang Li","orcid":"https://orcid.org/0000-0001-8437-4824"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Li","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037886447","display_name":"Greg Slabaugh","orcid":"https://orcid.org/0000-0003-4060-5226"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gregory Slabaugh","raw_affiliation_strings":["Digital Environment Research Institute (DERI), Queen Mary University of London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Digital Environment Research Institute (DERI), Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5071763759"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":1.748,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.86994943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"32","issue":"7","first_page":"4138","last_page":"4149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T11165","display_name":"Image and Video Quality Assessment","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/T11019","display_name":"Image Enhancement Techniques","score":0.9994999766349792,"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":0.8106880187988281},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7056923508644104},{"id":"https://openalex.org/keywords/constant-bitrate","display_name":"Constant bitrate","score":0.6009858250617981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.506564736366272},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.5000035762786865},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4741244316101074},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45971018075942993},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4375467896461487},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.42049989104270935},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3360269367694855},{"id":"https://openalex.org/keywords/variable-bitrate","display_name":"Variable bitrate","score":0.281386137008667},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.2773672938346863},{"id":"https://openalex.org/keywords/bit-rate","display_name":"Bit rate","score":0.15369302034378052},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09988877177238464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8106880187988281},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7056923508644104},{"id":"https://openalex.org/C34339180","wikidata":"https://www.wikidata.org/wiki/Q1325924","display_name":"Constant bitrate","level":4,"score":0.6009858250617981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.506564736366272},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.5000035762786865},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4741244316101074},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45971018075942993},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4375467896461487},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.42049989104270935},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3360269367694855},{"id":"https://openalex.org/C57667952","wikidata":"https://www.wikidata.org/wiki/Q1154443","display_name":"Variable bitrate","level":3,"score":0.281386137008667},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2773672938346863},{"id":"https://openalex.org/C2987812609","wikidata":"https://www.wikidata.org/wiki/Q194158","display_name":"Bit rate","level":2,"score":0.15369302034378052},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09988877177238464},{"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/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2021.3123621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3123621","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/76440","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/76440","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/76440/2/Slabaugh%20CBREN%20Convolutional%20Neural%202021%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/76440","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/76440","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/76440/2/Slabaugh%20CBREN%20Convolutional%20Neural%202021%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1474490597","display_name":null,"funder_award_id":"111 Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1875036955","display_name":null,"funder_award_id":"2020YFB1406604","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2034105232","display_name":null,"funder_award_id":"62001146","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2060176709","display_name":null,"funder_award_id":"LR17F030006","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2698530859","display_name":null,"funder_award_id":"61972123","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2808492804","display_name":null,"funder_award_id":"Q19F010030","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G3245251595","display_name":null,"funder_award_id":"61427808","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3413785771","display_name":null,"funder_award_id":"D17019","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G3548287584","display_name":null,"funder_award_id":"17019","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G3754868970","display_name":null,"funder_award_id":"61901145","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4022582052","display_name":null,"funder_award_id":"61901150","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4588867986","display_name":null,"funder_award_id":"61801157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4777431832","display_name":null,"funder_award_id":"6142780","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6058138561","display_name":null,"funder_award_id":", No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6102809138","display_name":null,"funder_award_id":"030006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6578634324","display_name":null,"funder_award_id":"6167119","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7801426869","display_name":null,"funder_award_id":"61931008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G790715552","display_name":null,"funder_award_id":"61971268","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8087118743","display_name":null,"funder_award_id":"61671196","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8790782256","display_name":null,"funder_award_id":"61701149","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8955107213","display_name":null,"funder_award_id":"Major","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"},{"id":"https://openalex.org/F4320321935","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767"},{"id":"https://openalex.org/F4320322539","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3210946101.pdf"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W63225932","https://openalex.org/W1946766895","https://openalex.org/W1978280057","https://openalex.org/W2001706548","https://openalex.org/W2004025832","https://openalex.org/W2028401181","https://openalex.org/W2033140753","https://openalex.org/W2035385859","https://openalex.org/W2039760575","https://openalex.org/W2056370875","https://openalex.org/W2077743816","https://openalex.org/W2078359196","https://openalex.org/W2088347497","https://openalex.org/W2105869895","https://openalex.org/W2135065661","https://openalex.org/W2142683286","https://openalex.org/W2214802144","https://openalex.org/W2240965729","https://openalex.org/W2241147999","https://openalex.org/W2245520837","https://openalex.org/W2345337169","https://openalex.org/W2505609860","https://openalex.org/W2512495095","https://openalex.org/W2519021537","https://openalex.org/W2612222456","https://openalex.org/W2726456930","https://openalex.org/W2747898905","https://openalex.org/W2752154940","https://openalex.org/W2752782242","https://openalex.org/W2761287863","https://openalex.org/W2769654144","https://openalex.org/W2792766850","https://openalex.org/W2793408333","https://openalex.org/W2798664922","https://openalex.org/W2799309438","https://openalex.org/W2800632947","https://openalex.org/W2890577598","https://openalex.org/W2891381843","https://openalex.org/W2893711023","https://openalex.org/W2897840030","https://openalex.org/W2911230412","https://openalex.org/W2915260409","https://openalex.org/W2919720707","https://openalex.org/W2962930383","https://openalex.org/W2963372104","https://openalex.org/W2965669158","https://openalex.org/W3012998522","https://openalex.org/W3013017783","https://openalex.org/W3013186840","https://openalex.org/W3033112747","https://openalex.org/W3034337578","https://openalex.org/W3034475761","https://openalex.org/W3080437795","https://openalex.org/W3080715109","https://openalex.org/W3082727082","https://openalex.org/W3091587500","https://openalex.org/W3099489364","https://openalex.org/W3100087914","https://openalex.org/W3101531460","https://openalex.org/W3102015846","https://openalex.org/W3102974666","https://openalex.org/W3106758205","https://openalex.org/W3179147540","https://openalex.org/W3182678101","https://openalex.org/W3183088003","https://openalex.org/W3199549300","https://openalex.org/W6601292936","https://openalex.org/W6704408313"],"related_works":["https://openalex.org/W1916685473","https://openalex.org/W2055682261","https://openalex.org/W1993363272","https://openalex.org/W2186390138","https://openalex.org/W2138957216","https://openalex.org/W2963191323","https://openalex.org/W1608726838","https://openalex.org/W2905230337","https://openalex.org/W1970803402","https://openalex.org/W2940905915"],"abstract_inverted_index":{"Constant":[0],"bit":[1,48,59,118],"rate":[2,49,60,119],"(CBR)":[3],"videos":[4],"are":[5],"widely":[6],"used":[7,109,132],"in":[8,78,157],"streaming":[9],"playback":[10],"applications.":[11],"However,":[12],"the":[13,17,39,75,79,83,88,112,116,126,135,140,150,158,175],"image":[14],"quality":[15,62,176],"of":[16,41,115,142,153,177],"CBR":[18,178],"video":[19,61,120,193],"is":[20,108,131,197],"often":[21],"unstable,":[22],"especially":[23],"for":[24,56],"scenes":[25],"with":[26],"large":[27],"motion.":[28],"To":[29,86],"this":[30],"end,":[31],"we":[32,93,161],"design":[33],"a":[34,53,57,67,95,122,163],"new":[35],"model":[36],"to":[37,72,110,121,133,139,147,188,200],"represent":[38],"distortion":[40,152],"High":[42],"Efficiency":[43],"Video":[44],"Coding":[45],"(HEVC)":[46],"constant":[47,58,117,189],"video,":[50],"and":[51,82,125,196],"propose":[52,66,94],"neural":[54],"network":[55],"enhancement":[63,194],"(CBREN).":[64],"We":[65],"dual-domain":[68],"restoration":[69],"module":[70],"(DRM)":[71],"jointly":[73],"learn":[74],"prior":[76],"knowledge":[77],"pixel":[80],"domain":[81],"frequency":[84],"domain.":[85],"address":[87],"degradation":[89,98],"resulting":[90],"from":[91],"compression,":[92],"two-step":[96],"quantization":[97,113,136,190],"estimation":[99],"strategy.":[100],"The":[101],"Inverse":[102],"DCT":[103],"(IDCT)":[104],"Translation":[105],"Unit":[106,129],"(ITU)":[107],"constrain":[111],"table":[114,137],"suitable":[123],"range,":[124],"Dynamic":[127],"Alpha":[128],"(DAU)":[130],"fine-tune":[134],"according":[138],"content":[141],"each":[143],"frame.":[144],"In":[145],"order":[146],"effectively":[148],"reduce":[149],"block":[151],"different":[154],"sizes":[155],"produced":[156],"compression":[159],"process,":[160],"adopt":[162],"multi-scale":[164],"network.":[165],"Extensive":[166],"experiments":[167],"show":[168],"that":[169],"our":[170,182],"approach":[171],"can":[172,184],"greatly":[173],"enhance":[174],"compressed":[179],"video.":[180],"Moreover,":[181],"method":[183],"also":[185],"be":[186],"applied":[187],"parameter":[191],"(CQP)":[192],"tasks,":[195],"certainly":[198],"superior":[199],"existing":[201],"methods.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}