{"id":"https://openalex.org/W2972765469","doi":"https://doi.org/10.1109/tcsvt.2019.2940092","title":"CNN-based Intra-Prediction for Lossless HEVC","display_name":"CNN-based Intra-Prediction for Lossless HEVC","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2972765469","doi":"https://doi.org/10.1109/tcsvt.2019.2940092","mag":"2972765469"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2019.2940092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2940092","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060196436","display_name":"Ionut Schiopu","orcid":"https://orcid.org/0000-0003-2202-1163"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Ionut Schiopu","raw_affiliation_strings":["Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013838727","display_name":"Hongyue Huang","orcid":"https://orcid.org/0000-0002-8392-6727"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Hongyue Huang","raw_affiliation_strings":["Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088598176","display_name":"Adrian Munteanu","orcid":"https://orcid.org/0000-0001-7290-0428"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Adrian Munteanu","raw_affiliation_strings":["Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060196436"],"corresponding_institution_ids":["https://openalex.org/I13469542"],"apc_list":null,"apc_paid":null,"fwci":5.176,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.96372489,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9976999759674072,"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":0.8573626279830933},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.708193838596344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6457517147064209},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.634745180606842},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5930756330490112},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.549316942691803},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47753870487213135},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.44780269265174866},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41299015283584595},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3872593641281128},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09091499447822571}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8573626279830933},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.708193838596344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6457517147064209},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.634745180606842},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5930756330490112},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.549316942691803},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47753870487213135},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.44780269265174866},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41299015283584595},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3872593641281128},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09091499447822571},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2019.2940092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2940092","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:vubissmart:VUBISSMART:2000:123952","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/cnnbased-intraprediction-for-lossless-hevc(7a7809df-2930-422f-97e4-bed6b56c3f94).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W2099563019","https://openalex.org/W2120051712","https://openalex.org/W2123113293","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2153638435","https://openalex.org/W2194775991","https://openalex.org/W2237930391","https://openalex.org/W2271840356","https://openalex.org/W2477177239","https://openalex.org/W2510648513","https://openalex.org/W2599701415","https://openalex.org/W2612846844","https://openalex.org/W2737258237","https://openalex.org/W2754162958","https://openalex.org/W2757828535","https://openalex.org/W2761287863","https://openalex.org/W2791741309","https://openalex.org/W2793361125","https://openalex.org/W2872367892","https://openalex.org/W2889872570","https://openalex.org/W2890991392","https://openalex.org/W2891381843","https://openalex.org/W2891736150","https://openalex.org/W2905528643","https://openalex.org/W2911230412","https://openalex.org/W2921369765","https://openalex.org/W2945291855","https://openalex.org/W2945358256","https://openalex.org/W2945937811","https://openalex.org/W2946063327","https://openalex.org/W2946112867","https://openalex.org/W2946413436","https://openalex.org/W2946432311","https://openalex.org/W2962737519","https://openalex.org/W2963189365","https://openalex.org/W2964121744","https://openalex.org/W2993989702","https://openalex.org/W3100092454","https://openalex.org/W3101531460","https://openalex.org/W3104772632","https://openalex.org/W3105615783","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6687483927","https://openalex.org/W6737837725"],"related_works":["https://openalex.org/W2948148442","https://openalex.org/W2461250372","https://openalex.org/W2394342941","https://openalex.org/W2169853506","https://openalex.org/W2547124190","https://openalex.org/W2350586049","https://openalex.org/W2385628723","https://openalex.org/W2169871401","https://openalex.org/W3008492011","https://openalex.org/W2378785014"],"abstract_inverted_index":{"The":[0],"paper":[1,140],"proposes":[2,45],"a":[3,25,46,58,75,87,92],"novel":[4,47],"block-wise":[5,31],"prediction":[6,82,89],"paradigm":[7],"based":[8,56,157],"on":[9,57,114,158],"Convolutional":[10],"Neural":[11],"Networks":[12],"(CNNs)":[13],"for":[14,30,51,61,108,163],"lossless":[15,109,164],"video":[16,110,165],"coding.":[17,111],"A":[18,42],"deep":[19],"neural":[20,39],"network":[21,40,54],"model":[22],"which":[23],"follows":[24],"multi-resolution":[26],"design":[27],"is":[28,84,141],"employed":[29],"prediction.":[32],"Several":[33],"contributions":[34],"are":[35],"proposed":[36,121],"to":[37,144],"improve":[38],"training.":[41],"first":[43,143],"contribution":[44,65,97],"loss":[48],"function":[49],"formulation":[50],"an":[52,100,129,154],"efficient":[53,101],"training":[55],"new":[59],"approach":[60],"patch":[62],"selection.":[63],"Another":[64,96],"consists":[66,98],"in":[67,99],"replacing":[68],"all":[69,146],"HEVC-based":[70,149],"angular":[71,81,150],"intra-prediction":[72,77,106,151,155],"modes":[73,152],"with":[74,128,153],"CNN-based":[76,88,105],"method,":[78],"where":[79],"each":[80],"mode":[83,90],"complemented":[85],"by":[86],"using":[91],"specifically":[93],"trained":[94],"model.":[95],"adaptation":[102],"of":[103,133],"the":[104,120,125,139,142,147],"residual":[107],"Experimental":[112],"results":[113],"standard":[115,127],"test":[116],"sequences":[117],"show":[118],"that":[119],"coding":[122,166],"system":[123],"outperforms":[124],"HEVC":[126],"average":[130],"bitrate":[131],"improvement":[132],"around":[134],"5%.":[135],"To":[136],"our":[137],"knowledge,":[138],"replace":[145],"traditional":[148],"method":[156],"modern":[159],"Machine":[160],"Learning":[161],"techniques":[162],"applications.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}
