{"id":"https://openalex.org/W4312327735","doi":"https://doi.org/10.1109/iscas48785.2022.9937233","title":"A QP-adaptive Mechanism for CNN-based Filter in Video Coding","display_name":"A QP-adaptive Mechanism for CNN-based Filter in Video Coding","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4312327735","doi":"https://doi.org/10.1109/iscas48785.2022.9937233"},"language":"en","primary_location":{"id":"doi:10.1109/iscas48785.2022.9937233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937233","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-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/A5100755357","display_name":"Chao Liu","orcid":"https://orcid.org/0000-0001-7261-3832"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Liu","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology,Shanghai P.R.,China","Academy for Engineering and Technology, Fudan University, Shanghai P.R., China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology,Shanghai P.R.,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai P.R., China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080518293","display_name":"Heming Sunyz","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086780","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19","country_code":"JP","type":"government","lineage":["https://openalex.org/I4210086780"]},{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Heming Sunyz","raw_affiliation_strings":["JST, PRESTO, 4-1-8 Honcho, Kawaguchi,Saitama,Japan","Waseda Research Institute for Science and Engineering, Waseda University, Tokyo, Japan","JST, PRESTO, 4-1-8 Honcho, Kawaguchi, Saitama, Japan"],"affiliations":[{"raw_affiliation_string":"JST, PRESTO, 4-1-8 Honcho, Kawaguchi,Saitama,Japan","institution_ids":["https://openalex.org/I4210086780"]},{"raw_affiliation_string":"Waseda Research Institute for Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"JST, PRESTO, 4-1-8 Honcho, Kawaguchi, Saitama, Japan","institution_ids":["https://openalex.org/I4210086780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033711719","display_name":"Jiro Kattoz","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Jiro Kattoz","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology,Shanghai P.R.,China","Academy for Engineering and Technology, Fudan University, Shanghai P.R., China","Graduate School of Fundamental Science and Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology,Shanghai P.R.,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai P.R., China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Graduate School of Fundamental Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656792","display_name":"Xiaoyang Zeng","orcid":"https://orcid.org/0000-0003-3986-137X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyang Zeng","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology,Shanghai P.R.,China","Academy for Engineering and Technology, Fudan University, Shanghai P.R., China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology,Shanghai P.R.,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai P.R., China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085004179","display_name":"Yibo Fan","orcid":"https://orcid.org/0000-0003-2523-8261"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibo Fan","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology,Shanghai P.R.,China","Academy for Engineering and Technology, Fudan University, Shanghai P.R., China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology,Shanghai P.R.,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai P.R., China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100755357"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.3598,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67980893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"16","issue":null,"first_page":"3195","last_page":"3199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/quantization","display_name":"Quantization (signal processing)","score":0.7977907657623291},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7298598289489746},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7037415504455566},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5181757211685181},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5009713172912598},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4811169505119324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4507574439048767},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.4245951175689697},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23483017086982727},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.1328616738319397}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7977907657623291},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7298598289489746},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7037415504455566},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5181757211685181},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5009713172912598},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4811169505119324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4507574439048767},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.4245951175689697},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23483017086982727},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.1328616738319397},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas48785.2022.9937233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937233","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321851","display_name":"Fudan University","ror":"https://ror.org/013q1eq08"},{"id":"https://openalex.org/F4320321881","display_name":"Shanghai Municipal Education Commission","ror":"https://ror.org/05tewj457"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2194775991","https://openalex.org/W2510648513","https://openalex.org/W2612222456","https://openalex.org/W2741137940","https://openalex.org/W2791152551","https://openalex.org/W2793408333","https://openalex.org/W2799309438","https://openalex.org/W2884585870","https://openalex.org/W2891212213","https://openalex.org/W2913664580","https://openalex.org/W2942586808","https://openalex.org/W2953384591","https://openalex.org/W2964157487","https://openalex.org/W2970872821","https://openalex.org/W2988396473","https://openalex.org/W3000493828","https://openalex.org/W3021112549","https://openalex.org/W3034212247","https://openalex.org/W3035389711","https://openalex.org/W3083421244","https://openalex.org/W3102974666","https://openalex.org/W3104772632","https://openalex.org/W3135530072","https://openalex.org/W6631190155","https://openalex.org/W6713134421","https://openalex.org/W6753412334","https://openalex.org/W6754669699","https://openalex.org/W6767531239","https://openalex.org/W6782892327"],"related_works":["https://openalex.org/W2748454020","https://openalex.org/W3119610945","https://openalex.org/W3181746755","https://openalex.org/W3016958897","https://openalex.org/W4283379348","https://openalex.org/W4312417841","https://openalex.org/W2735477435","https://openalex.org/W2992711139","https://openalex.org/W2794579400","https://openalex.org/W3172077596"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"network":[2],"(CNN)-based":[3],"in-loop":[4],"filtering":[5],"have":[6],"been":[7,124],"very":[8],"successful":[9],"in":[10,90],"video":[11],"coding.":[12],"For":[13],"most":[14],"existing":[15,91],"works,":[16],"however,":[17],"a":[18,34,58],"specific":[19],"model":[20],"was":[21],"required":[22],"for":[23,37,111],"each":[24],"quantization":[25,43,59,67],"parameter":[26],"(QP)":[27],"band.":[28],"In":[29],"this":[30,49,88],"paper,":[31],"we":[32],"introduce":[33],"generic":[35],"method":[36,89],"helping":[38],"CNN-filters":[39],"deal":[40],"with":[41,95,127],"variable":[42],"noises.":[44],"A":[45],"feasible":[46],"solution":[47],"to":[48,74],"problem":[50],"can":[51,83],"be":[52,84],"implemented":[53],"on":[54],"CNN":[55,71,92,101],"by":[56,87],"introducing":[57],"step":[60],"(Qstep)":[61],"into":[62],"the":[63,66,70,96,112,128],"CNN.":[64],"As":[65],"noise":[68,76],"changes,":[69],"filter\u2019s":[72],"ability":[73],"suppress":[75],"changes":[77],"accordingly.":[78],"The":[79],"(vanilla)":[80],"convolution":[81],"layer":[82],"replaced":[85],"directly":[86],"filters.":[93],"Compared":[94],"VVenC":[97],"anchor,":[98],"only":[99],"one":[100],"filter":[102],"is":[103],"used":[104],"and":[105],"achieves":[106],"about":[107,119],"3.6%":[108],"BD-rate":[109,121],"reduction":[110,122],"luminance":[113],"component":[114],"of":[115],"random-access":[116],"configuration.":[117],"Also,":[118],"0.8%":[120],"has":[123],"achieved":[125],"compared":[126],"previous":[129],"QP-map":[130],"method.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
