{"id":"https://openalex.org/W2938110139","doi":"https://doi.org/10.1109/icassp.2019.8683624","title":"Enhancing HEVC Spatial Prediction by Context-based Learning","display_name":"Enhancing HEVC Spatial Prediction by Context-based Learning","publication_year":2019,"publication_date":"2019-04-16","ids":{"openalex":"https://openalex.org/W2938110139","doi":"https://doi.org/10.1109/icassp.2019.8683624","mag":"2938110139"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8683624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-02243361v1/file/icassp2019li.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100336197","display_name":"Li Wang","orcid":"https://orcid.org/0000-0003-2165-0080"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN","FR"],"is_corresponding":true,"raw_author_name":"Li Wang","raw_affiliation_strings":["CNRS L2S, CentraleSupelec, Universit\u00e9 Paris-Sud","BNU - Beijing Normal University (No. 19, XinJieKouWai St., HaiDian District,\r\nBeijing 100875, P. R. China - China)"],"affiliations":[{"raw_affiliation_string":"CNRS L2S, CentraleSupelec, Universit\u00e9 Paris-Sud","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I102197404","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"BNU - Beijing Normal University (No. 19, XinJieKouWai St., HaiDian District,\r\nBeijing 100875, P. R. China - China)","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025967822","display_name":"Attilio Fiandrotti","orcid":"https://orcid.org/0000-0002-9991-6822"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]},{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Attilio Fiandrotti","raw_affiliation_strings":["LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, Paris, France","IDS - D\u00e9partement Images, Donn\u00e9es, Signal (46, rue Barrault 75013 Paris ; 15 Place Marguerite Perey 91120 Palaiseau (depuis oct 2019) - France)","MM - Multim\u00e9dia (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)"],"affiliations":[{"raw_affiliation_string":"LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I277688954","https://openalex.org/I4210165912"]},{"raw_affiliation_string":"IDS - D\u00e9partement Images, Donn\u00e9es, Signal (46, rue Barrault 75013 Paris ; 15 Place Marguerite Perey 91120 Palaiseau (depuis oct 2019) - France)","institution_ids":[]},{"raw_affiliation_string":"MM - Multim\u00e9dia (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)","institution_ids":["https://openalex.org/I12356871"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052688829","display_name":"Andrei Purica","orcid":"https://orcid.org/0000-0002-6872-0472"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Andrei Purica","raw_affiliation_strings":["LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, Paris, France","IDS - D\u00e9partement Images, Donn\u00e9es, Signal (46, rue Barrault 75013 Paris ; 15 Place Marguerite Perey 91120 Palaiseau (depuis oct 2019) - France)","MM - Multim\u00e9dia (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)"],"affiliations":[{"raw_affiliation_string":"LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I277688954","https://openalex.org/I4210165912"]},{"raw_affiliation_string":"IDS - D\u00e9partement Images, Donn\u00e9es, Signal (46, rue Barrault 75013 Paris ; 15 Place Marguerite Perey 91120 Palaiseau (depuis oct 2019) - France)","institution_ids":[]},{"raw_affiliation_string":"MM - Multim\u00e9dia (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)","institution_ids":["https://openalex.org/I12356871"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034069364","display_name":"Giuseppe Valenzise","orcid":"https://orcid.org/0000-0002-5840-5743"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I4210097418","display_name":"Laboratoire des signaux et syst\u00e8mes","ror":"https://ror.org/00skw9v43","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210097418","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Giuseppe Valenzise","raw_affiliation_strings":["CNRS L2S, CentraleSupelec, Universit\u00e9 Paris-Sud","L2S - Laboratoire des signaux et syst\u00e8mes (Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"CNRS L2S, CentraleSupelec, Universit\u00e9 Paris-Sud","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I102197404","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"L2S - Laboratoire des signaux et syst\u00e8mes (Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX - France)","institution_ids":["https://openalex.org/I4210097418"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042732174","display_name":"Marco Cagnazzo","orcid":"https://orcid.org/0000-0001-6731-3755"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marco Cagnazzo","raw_affiliation_strings":["LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, Paris, France","MM - Multim\u00e9dia (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)","IDS - D\u00e9partement Images, Donn\u00e9es, Signal (46, rue Barrault 75013 Paris ; 15 Place Marguerite Perey 91120 Palaiseau (depuis oct 2019) - France)"],"affiliations":[{"raw_affiliation_string":"LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I277688954","https://openalex.org/I4210165912"]},{"raw_affiliation_string":"MM - Multim\u00e9dia (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 Palaiseau - France)","institution_ids":["https://openalex.org/I12356871"]},{"raw_affiliation_string":"IDS - D\u00e9partement Images, Donn\u00e9es, Signal (46, rue Barrault 75013 Paris ; 15 Place Marguerite Perey 91120 Palaiseau (depuis oct 2019) - France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100336197"],"corresponding_institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I25254941","https://openalex.org/I4210107720"],"apc_list":null,"apc_paid":null,"fwci":0.8177,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.76734617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"4035","last_page":"4039"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9984999895095825,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9958000183105469,"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":0.8756823539733887},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6876664161682129},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.6793621778488159},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5999143719673157},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5567502975463867},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.5053651928901672},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4790557622909546},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4589143991470337},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4134019911289215},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36013317108154297},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3486737608909607},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33751970529556274}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8756823539733887},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6876664161682129},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.6793621778488159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5999143719673157},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5567502975463867},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.5053651928901672},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4790557622909546},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4589143991470337},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4134019911289215},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36013317108154297},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3486737608909607},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33751970529556274},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":3,"locations":[{"id":"doi:10.1109/icassp.2019.8683624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02243361v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-02243361","pdf_url":"https://inria.hal.science/hal-02243361v1/file/icassp2019li.pdf","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), May 2019, Brighton, United Kingdom. pp.4035-4039, &#x27E8;10.1109/icassp.2019.8683624&#x27E9;","raw_type":"Conference papers"},{"id":"pmh:oai:www.research.unipd.it:11577/3469355","is_oa":false,"landing_page_url":"https://hdl.handle.net/11577/3469355","pdf_url":null,"source":{"id":"https://openalex.org/S4377196283","display_name":"Research Padua  Archive (University of Padua)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-02243361v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-02243361","pdf_url":"https://inria.hal.science/hal-02243361v1/file/icassp2019li.pdf","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), May 2019, Brighton, United Kingdom. pp.4035-4039, &#x27E8;10.1109/icassp.2019.8683624&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2938110139.pdf","grobid_xml":"https://content.openalex.org/works/W2938110139.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1959608418","https://openalex.org/W2058097301","https://openalex.org/W2136226124","https://openalex.org/W2505609860","https://openalex.org/W2551839254","https://openalex.org/W2552465432","https://openalex.org/W2593493485","https://openalex.org/W2732044853","https://openalex.org/W2785562966","https://openalex.org/W2890991392","https://openalex.org/W2900581685","https://openalex.org/W2962676454","https://openalex.org/W2963149687","https://openalex.org/W2963420272","https://openalex.org/W2963449488","https://openalex.org/W2963801130","https://openalex.org/W2964098744","https://openalex.org/W2964121744","https://openalex.org/W2964164354","https://openalex.org/W2981613960","https://openalex.org/W4294567867","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6640963894","https://openalex.org/W6729430521","https://openalex.org/W6734035190","https://openalex.org/W6738494155","https://openalex.org/W6741057705","https://openalex.org/W6749925136","https://openalex.org/W6756507479"],"related_works":["https://openalex.org/W2119626116","https://openalex.org/W4393107225","https://openalex.org/W2005006301","https://openalex.org/W2352380146","https://openalex.org/W2037887240","https://openalex.org/W2130100961","https://openalex.org/W1888655105","https://openalex.org/W4221051479","https://openalex.org/W2573742039","https://openalex.org/W2783530627"],"abstract_inverted_index":{"Deep":[0],"generative":[1],"models":[2],"have":[3],"been":[4],"recently":[5],"employed":[6],"to":[7,13,45,60,89],"compress":[8],"images,":[9],"image":[10,15],"residuals":[11,66],"or":[12],"predict":[14],"regions.":[16],"Based":[17],"on":[18,100],"the":[19,62,65,73,91,108],"observation":[20],"that":[21],"state-of-the-art":[22],"spatial":[23],"prediction":[24,84,97],"is":[25],"highly":[26],"optimized":[27],"from":[28],"a":[29],"rate-distortion":[30],"point":[31],"of":[32,64,67,76,95],"view,":[33],"in":[34,107],"this":[35,48,51],"work":[36],"we":[37,53],"study":[38],"how":[39],"learning-based":[40],"approaches":[41],"might":[42],"be":[43],"used":[44],"further":[46],"enhance":[47],"prediction.":[49],"To":[50],"end,":[52],"propose":[54],"an":[55],"encoder-decoder":[56],"convolutional":[57],"network":[58],"able":[59],"reduce":[61,90],"energy":[63],"HEVC":[68,96],"intra":[69],"prediction,":[70],"by":[71,98],"leveraging":[72],"available":[74],"context":[75],"previously":[77],"decoded":[78],"neigh-boring":[79],"blocks.":[80],"The":[81],"proposed":[82],"context-based":[83],"enhancement":[85],"(CBPE)":[86],"scheme":[87],"enables":[88],"mean":[92],"square":[93],"error":[94],"25%":[99],"average,":[101],"without":[102],"any":[103],"additional":[104],"signalling":[105],"cost":[106],"bitstream.":[109]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2019-04-25T00:00:00"}
