{"id":"https://openalex.org/W2941995653","doi":"https://doi.org/10.1109/vcip.2018.8698616","title":"A CNN-Based In-Loop Filter with CU Classification for HEVC","display_name":"A CNN-Based In-Loop Filter with CU Classification for HEVC","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2941995653","doi":"https://doi.org/10.1109/vcip.2018.8698616","mag":"2941995653"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2018.8698616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2018.8698616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Visual Communications and Image Processing (VCIP)","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/A5089373985","display_name":"Yuanying Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanying Dai","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407381","display_name":"Dong Liu","orcid":"https://orcid.org/0000-0001-9100-2906"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liu","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003217535","display_name":"Zheng-Jun Zha","orcid":"https://orcid.org/0000-0003-2510-8993"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng-Jun Zha","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101596622","display_name":"Feng Wu","orcid":"https://orcid.org/0000-0001-8451-0881"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wu","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089373985"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":1.358,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.86384556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9980000257492065,"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":0.9973999857902527,"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":0.7714144587516785},{"id":"https://openalex.org/keywords/deblocking-filter","display_name":"Deblocking filter","score":0.6581892371177673},{"id":"https://openalex.org/keywords/ringing-artifacts","display_name":"Ringing artifacts","score":0.600646436214447},{"id":"https://openalex.org/keywords/compression-artifact","display_name":"Compression artifact","score":0.5981423258781433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5769091248512268},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5398030281066895},{"id":"https://openalex.org/keywords/ringing","display_name":"Ringing","score":0.5295591950416565},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4841776192188263},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.4785783290863037},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.41704052686691284},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3924773633480072},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38642987608909607},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.37637126445770264},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37342721223831177},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.3027106523513794},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18953225016593933},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.17027989029884338},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10932257771492004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7714144587516785},{"id":"https://openalex.org/C143184774","wikidata":"https://www.wikidata.org/wiki/Q3020846","display_name":"Deblocking filter","level":2,"score":0.6581892371177673},{"id":"https://openalex.org/C17828673","wikidata":"https://www.wikidata.org/wiki/Q7334899","display_name":"Ringing artifacts","level":3,"score":0.600646436214447},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.5981423258781433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5769091248512268},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5398030281066895},{"id":"https://openalex.org/C30684385","wikidata":"https://www.wikidata.org/wiki/Q176509","display_name":"Ringing","level":3,"score":0.5295591950416565},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4841776192188263},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.4785783290863037},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.41704052686691284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3924773633480072},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38642987608909607},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.37637126445770264},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37342721223831177},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.3027106523513794},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18953225016593933},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.17027989029884338},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10932257771492004},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2018.8698616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2018.8698616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2096933452","https://openalex.org/W2146395539","https://openalex.org/W2155893237","https://openalex.org/W2194775991","https://openalex.org/W2477177239","https://openalex.org/W2510648513","https://openalex.org/W2739757502","https://openalex.org/W2757350145","https://openalex.org/W2757828535","https://openalex.org/W2792186562","https://openalex.org/W2793408333","https://openalex.org/W2963446712","https://openalex.org/W2964121744","https://openalex.org/W3104540617","https://openalex.org/W6631190155","https://openalex.org/W6725165783","https://openalex.org/W6744386365"],"related_works":["https://openalex.org/W2163189833","https://openalex.org/W1834442554","https://openalex.org/W2104708016","https://openalex.org/W419948066","https://openalex.org/W1889493430","https://openalex.org/W2158360380","https://openalex.org/W2095868395","https://openalex.org/W2618155942","https://openalex.org/W2162914356","https://openalex.org/W2140689276"],"abstract_inverted_index":{"Lossy":[0],"compression":[1],"of":[2,63,154],"image":[3],"and":[4,29,182,195],"video":[5],"yields":[6],"visually":[7],"annoying":[8],"artifacts":[9],"including":[10],"blocking,":[11],"blurring,":[12],"ringing,":[13],"etc.,":[14],"especially":[15],"at":[16,85,158],"low":[17],"bit":[18],"rates.":[19],"In-loop":[20],"filtering":[21],"techniques":[22],"can":[23],"reduce":[24],"these":[25],"artifacts,":[26],"improve":[27],"quality,":[28],"achieve":[30],"coding":[31,133],"gain":[32],"accordingly.":[33],"In":[34],"this":[35,118],"paper,":[36],"we":[37,54,90,103,120],"present":[38],"a":[39,56,92,123],"convolutional":[40],"neural":[41],"network":[42],"(CNN)":[43],"based":[44,96,140],"in-loop":[45,94],"filter":[46,95,157],"for":[47,70,131],"High":[48],"Efficiency":[49],"Video":[50],"Coding":[51],"(HEVC).":[52],"First,":[53],"design":[55],"new":[57,93],"CNN":[58],"structure":[59],"that":[60,105,165],"is":[61,74,113],"composed":[62],"multiple":[64],"Variable-filter-size":[65],"Residue-learning":[66],"blocks,":[67],"namely":[68],"VRCNN-ext,":[69],"artifact":[71],"reduction.":[72],"VRCNN-ext":[73,100,107,130],"trained":[75,99],"by":[76],"natural":[77],"images":[78],"as":[79,81],"well":[80],"their":[82],"compressed":[83,143],"versions":[84],"different":[86],"quality":[87],"levels.":[88],"Second,":[89],"investigate":[91],"on":[97,109,141,178,186],"the":[98,110,142,147,152,155,159,173,187],"models.":[101],"Specifically,":[102],"observed":[104],"using":[106],"directly":[108],"inter":[111],"pictures":[112],"not":[114],"effective.":[115],"To":[116],"solve":[117],"problem,":[119],"further":[121],"train":[122],"classifier":[124,137],"to":[125,128,150,177],"decide":[126],"whether":[127],"use":[129],"each":[132],"unit":[134],"(CU).":[135],"The":[136],"makes":[138],"decision":[139],"information,":[144],"thus":[145],"avoiding":[146],"overhead":[148],"bits":[149,170],"control":[151],"on/off":[153],"CNN-based":[156],"CU":[160],"level.":[161],"Experimental":[162],"results":[163],"show":[164],"our":[166],"scheme":[167],"achieves":[168],"significant":[169],"saving":[171],"than":[172],"HEVC":[174,188],"anchor,":[175],"leading":[176],"average":[179],"9.2%,":[180],"9.6%":[181],"7.4%":[183],"BD-rate":[184],"reduction":[185],"test":[189],"sequences,":[190],"under":[191],"all-intra,":[192],"low-delay":[193],"B":[194],"random-access":[196],"configurations,":[197],"respectively.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}