{"id":"https://openalex.org/W4308235792","doi":"https://doi.org/10.1109/icip46576.2022.9897757","title":"Content-Adaptive Neural Network Post-Processing Filter with NNR-Coded Weight-Updates","display_name":"Content-Adaptive Neural Network Post-Processing Filter with NNR-Coded Weight-Updates","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308235792","doi":"https://doi.org/10.1109/icip46576.2022.9897757"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897757","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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 Conference on Image Processing (ICIP)","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/A5028677347","display_name":"Mar\u00eda Paz Diago Santamar\u00eda","orcid":"https://orcid.org/0000-0003-1946-0712"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Maria Santamaria","raw_affiliation_strings":["Nokia Technologies,Tampere,Finland","Nokia Technologies, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies,Tampere,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049106121","display_name":"Francesco Cricri","orcid":"https://orcid.org/0000-0002-1521-420X"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Francesco Cricri","raw_affiliation_strings":["Nokia Technologies,Tampere,Finland","Nokia Technologies, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies,Tampere,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017900883","display_name":"Jani Lainema","orcid":null},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jani Lainema","raw_affiliation_strings":["Nokia Technologies,Tampere,Finland","Nokia Technologies, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies,Tampere,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038279606","display_name":"Ramin G. Youvalari","orcid":"https://orcid.org/0000-0001-7260-0599"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Ramin G. Youvalari","raw_affiliation_strings":["Nokia Technologies,Tampere,Finland","Nokia Technologies, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies,Tampere,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100671939","display_name":"Honglei Zhang","orcid":"https://orcid.org/0000-0002-8229-852X"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Honglei Zhang","raw_affiliation_strings":["Nokia Technologies,Tampere,Finland","Nokia Technologies, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies,Tampere,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044816664","display_name":"Miska M. Hannuksela","orcid":"https://orcid.org/0000-0003-3405-0850"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Miska M. Hannuksela","raw_affiliation_strings":["Nokia Technologies,Tampere,Finland","Nokia Technologies, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies,Tampere,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2104,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81743783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2251","last_page":"2255"},"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/T11019","display_name":"Image Enhancement 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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6930176019668579},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6098294258117676},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.594097375869751},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5628460645675659},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.4525548219680786},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.4475753605365753},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4376599192619324},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.4182951748371124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3449013829231262},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32547324895858765},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.2862013876438141},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2468954622745514},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18495231866836548},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18074098229408264},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.14646989107131958},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08251461386680603}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6930176019668579},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6098294258117676},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.594097375869751},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5628460645675659},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.4525548219680786},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.4475753605365753},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4376599192619324},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.4182951748371124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3449013829231262},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32547324895858765},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.2862013876438141},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2468954622745514},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18495231866836548},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18074098229408264},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.14646989107131958},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08251461386680603},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897757","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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 Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2101700394","https://openalex.org/W2913664580","https://openalex.org/W3004198379","https://openalex.org/W3094954034","https://openalex.org/W3153323090","https://openalex.org/W3164947665","https://openalex.org/W3181576318","https://openalex.org/W3186841511","https://openalex.org/W3194693407","https://openalex.org/W4205449766","https://openalex.org/W4205566239","https://openalex.org/W6631190155","https://openalex.org/W6762439214"],"related_works":["https://openalex.org/W4383723869","https://openalex.org/W3007688875","https://openalex.org/W4384298135","https://openalex.org/W2768628697","https://openalex.org/W2388481516","https://openalex.org/W2161302774","https://openalex.org/W2011090518","https://openalex.org/W3080614128","https://openalex.org/W2103127675","https://openalex.org/W2945049259"],"abstract_inverted_index":{"Neural":[0,66],"Network":[1,67],"(NN)":[2],"filters":[3],"improve":[4],"the":[5,24,65,108,130,133,143,146],"perceptual":[6],"quality":[7],"of":[8,84,107,145],"reconstructed":[9],"videos":[10],"by":[11,79,148],"reducing":[12],"compression":[13,30,44,68],"artefacts.":[14],"For":[15],"content":[16],"adaptation,":[17],"a":[18,28,56,82],"few":[19],"NN-filters":[20],"use":[21,41],"over-fitting.":[22],"As":[23],"adaptation":[25],"signal":[26],"is":[27,31,76],"weight-update,":[29],"required":[32],"to":[33,129,139],"minimise":[34],"significant":[35],"bitrate":[36,74,144],"overheads.":[37],"Most":[38],"approaches,":[39],"however,":[40],"generic":[42],"data":[43],"algorithms,":[45],"which":[46],"are":[47],"inadequate":[48],"for":[49],"coding":[50],"NN":[51,58],"weight-updates.":[52],"This":[53],"work":[54],"introduces":[55],"content-adaptive":[57],"post-processing":[59],"filter":[60,92],"with":[61,117],"weight-updates":[62],"coded":[63],"using":[64],"and":[69,137],"Representation":[70],"(NNR)":[71],"standard.":[72],"The":[73,90],"overhead":[75],"further":[77],"decreased":[78],"over-fitting":[80],"only":[81],"subset":[83],"weights,":[85],"selected":[86],"via":[87],"energy-based":[88],"analysis.":[89],"proposed":[91],"saved":[93],"about":[94],"4.57%":[95],"(Y),":[96],"10.33%":[97],"(Cb),":[98],"6.53%":[99],"(Cr)":[100],"Bj\u00f8ntegaard":[101],"Delta":[102],"rate":[103],"(BD-rate)":[104],"on":[105],"top":[106],"Versatile":[109],"Video":[110,119],"Coding":[111,120],"(VVC)":[112],"Test":[113],"Model":[114],"(VTM)":[115],"11.0":[116],"NN-based":[118],"(NNVC)":[121],"1.0,":[122],"in":[123],"Random":[124],"Access":[125],"(RA)":[126],"configuration.":[127],"Compared":[128],"non-over-fitted":[131],"NN,":[132],"performance":[134],"was":[135],"doubled;":[136],"compared":[138],"7z,":[140],"NNR":[141],"reduced":[142],"weight-update":[147],"\u223c64%.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}