{"id":"https://openalex.org/W2792186562","doi":"https://doi.org/10.1109/icip.2017.8296236","title":"Multi-modal/multi-scale convolutional neural network based in-loop filter design for next generation video codec","display_name":"Multi-modal/multi-scale convolutional neural network based in-loop filter design for next generation video codec","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2792186562","doi":"https://doi.org/10.1109/icip.2017.8296236","mag":"2792186562"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5007485189","display_name":"Jihong Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jihong Kang","raw_affiliation_strings":["Department of ECE, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053737719","display_name":"Sungjei Kim","orcid":"https://orcid.org/0009-0008-6466-649X"},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungjei Kim","raw_affiliation_strings":["Korea Electronics Technology Institute, Seongnam-si, Korea"],"affiliations":[{"raw_affiliation_string":"Korea Electronics Technology Institute, Seongnam-si, Korea","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046504049","display_name":"Kyoung Mu Lee","orcid":"https://orcid.org/0000-0001-7210-1036"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyoung Mu Lee","raw_affiliation_strings":["Department of ECE, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007485189"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":3.2768,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.95566693,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"26","last_page":"30"},"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/T10688","display_name":"Image and Signal Denoising Methods","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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8386611938476562},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.703500509262085},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6534260511398315},{"id":"https://openalex.org/keywords/deblocking-filter","display_name":"Deblocking filter","score":0.6511092185974121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5128695964813232},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.4306888282299042},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4276723861694336},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3407381772994995},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3338959217071533},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1959858536720276}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8386611938476562},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.703500509262085},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6534260511398315},{"id":"https://openalex.org/C143184774","wikidata":"https://www.wikidata.org/wiki/Q3020846","display_name":"Deblocking filter","level":2,"score":0.6511092185974121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5128695964813232},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.4306888282299042},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4276723861694336},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3407381772994995},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3338959217071533},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1959858536720276},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8296236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W1903029394","https://openalex.org/W1916935112","https://openalex.org/W2017801928","https://openalex.org/W2123113293","https://openalex.org/W2142683286","https://openalex.org/W2155893237","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2302255633","https://openalex.org/W2477177239","https://openalex.org/W2508457857","https://openalex.org/W2510648513","https://openalex.org/W2560533888","https://openalex.org/W2963470893","https://openalex.org/W2964121744","https://openalex.org/W2979673094","https://openalex.org/W2979990382","https://openalex.org/W3104772632","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6681338974","https://openalex.org/W6698183232","https://openalex.org/W6727340567","https://openalex.org/W6730518680","https://openalex.org/W6769015554"],"related_works":["https://openalex.org/W244738299","https://openalex.org/W777051326","https://openalex.org/W3084502757","https://openalex.org/W2392312325","https://openalex.org/W2075165083","https://openalex.org/W2561008510","https://openalex.org/W2188363534","https://openalex.org/W2039662546","https://openalex.org/W2349026221","https://openalex.org/W2151645771"],"abstract_inverted_index":{"In":[0,118],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5],"novel":[6],"in-loop":[7],"filter":[8,20],"design":[9],"for":[10],"video":[11],"compression.":[12],"Our":[13],"approach":[14,139],"aims":[15],"to":[16,78,106,110],"replace":[17],"existing":[18],"deblocking":[19],"and":[21,52,129,141],"SAO":[22],"(Sample":[23],"Adaptive":[24],"Offset)":[25],"of":[26,40,43],"HEVC":[27,142],"standard":[28],"with":[29,72,133],"multi-modal/multi-scale":[30],"convolutional":[31],"neural":[32,136],"network":[33,70,137],"(MMS-net).":[34],"The":[35],"proposed":[36,84],"CNN":[37],"architecture":[38,85],"consists":[39],"two":[41],"sub-networks":[42],"different":[44],"scales.":[45],"An":[46],"input":[47,75,105],"image":[48,62],"is":[49,65],"down-sampled":[50],"first":[51],"restored":[53],"through":[54],"the":[55,60,73,80,83,90,94,115,119,124,134],"lower":[56],"scale":[57,69],"network,":[58],"then":[59],"output":[61],"from":[63,97],"it":[64],"fed":[66],"into":[67],"higher":[68],"concatenated":[71],"original":[74],"image.":[76],"Moreover,":[77],"boost":[79],"restoration":[81],"performance,":[82],"utilizes":[86],"information":[87],"resides":[88],"in":[89,147],"coded":[91],"sequence.":[92],"Specifically,":[93],"compression":[95],"parameters":[96],"coding":[98],"tree":[99],"units":[100],"(CTU)":[101],"are":[102],"exploited":[103],"as":[104],"CNN,":[107],"which":[108],"helps":[109],"alleviate":[111],"blocking":[112],"artifacts":[113],"on":[114],"reconstructed":[116],"images.":[117],"experiments,":[120],"our":[121],"method":[122],"reduces":[123],"average":[125],"BD-rate":[126],"by":[127],"4.55%":[128],"8.5%,":[130],"respectively,":[131],"compared":[132],"conventional":[135],"based":[138],"[1]":[140],"reference":[143],"software":[144],"HM16.7":[145],"[2]":[146],"`All":[148],"Intra":[149],"-":[150],"Main'":[151],"configuration.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}