{"id":"https://openalex.org/W4386838094","doi":"https://doi.org/10.3390/s23187923","title":"Fast CU Partition Algorithm for Intra Frame Coding Based on Joint Texture Classification and CNN","display_name":"Fast CU Partition Algorithm for Intra Frame Coding Based on Joint Texture Classification and CNN","publication_year":2023,"publication_date":"2023-09-15","ids":{"openalex":"https://openalex.org/W4386838094","doi":"https://doi.org/10.3390/s23187923","pmid":"https://pubmed.ncbi.nlm.nih.gov/37765979"},"language":"en","primary_location":{"id":"doi:10.3390/s23187923","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23187923","pdf_url":"https://www.mdpi.com/1424-8220/23/18/7923/pdf?version=1694942895","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/18/7923/pdf?version=1694942895","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100739461","display_name":"Ting Wang","orcid":"https://orcid.org/0009-0008-8181-4108"},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Wang","raw_affiliation_strings":["School of Physics and Electronics, Nanning Normal University, Nanning 530100, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics, Nanning Normal University, Nanning 530100, China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379837","display_name":"Wei Geng","orcid":"https://orcid.org/0009-0005-7453-5280"},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Geng Wei","raw_affiliation_strings":["School of Physics and Electronics, Nanning Normal University, Nanning 530100, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics, Nanning Normal University, Nanning 530100, China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721216","display_name":"Huayu Li","orcid":"https://orcid.org/0009-0008-3018-9381"},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huayu Li","raw_affiliation_strings":["School of Physics and Electronics, Nanning Normal University, Nanning 530100, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics, Nanning Normal University, Nanning 530100, China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103036233","display_name":"ThiOanh Bui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ThiOanh Bui","raw_affiliation_strings":["School of Physics and Electronics, Nanning Normal University, Nanning 530100, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics, Nanning Normal University, Nanning 530100, China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100526992","display_name":"Qian Zeng","orcid":"https://orcid.org/0009-0003-8655-3916"},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zeng","raw_affiliation_strings":["School of Physics and Electronics, Nanning Normal University, Nanning 530100, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics, Nanning Normal University, Nanning 530100, China","institution_ids":["https://openalex.org/I4210151929"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005716245","display_name":"Ruliang Wang","orcid":"https://orcid.org/0000-0002-5953-3587"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]},{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruliang Wang","raw_affiliation_strings":["School of Physics and Electronics, Nanning Normal University, Nanning 530100, China","Technology College of Xiangsihu School, Guangxi Minzu University, Nanning 530100, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics, Nanning Normal University, Nanning 530100, China","institution_ids":["https://openalex.org/I4210151929"]},{"raw_affiliation_string":"Technology College of Xiangsihu School, Guangxi Minzu University, Nanning 530100, China","institution_ids":["https://openalex.org/I145897649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100379837"],"corresponding_institution_ids":["https://openalex.org/I4210151929"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.7832,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71474498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"23","issue":"18","first_page":"7923","last_page":"7923"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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":0.9990000128746033,"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":0.7415963411331177},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6892212629318237},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6312469244003296},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5645182132720947},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5273633599281311},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.47914570569992065},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.46195295453071594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.458662211894989},{"id":"https://openalex.org/keywords/texture-memory","display_name":"Texture memory","score":0.45260089635849},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.4480644464492798},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4333905279636383},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.28548750281333923},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.2060721516609192},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17507919669151306},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.13888370990753174},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13370007276535034},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.0866841971874237}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7415963411331177},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6892212629318237},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6312469244003296},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5645182132720947},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5273633599281311},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.47914570569992065},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.46195295453071594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.458662211894989},{"id":"https://openalex.org/C18766215","wikidata":"https://www.wikidata.org/wiki/Q7708532","display_name":"Texture memory","level":5,"score":0.45260089635849},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.4480644464492798},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4333905279636383},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.28548750281333923},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2060721516609192},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17507919669151306},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.13888370990753174},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13370007276535034},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.0866841971874237},{"id":"https://openalex.org/C66629338","wikidata":"https://www.wikidata.org/wiki/Q189177","display_name":"3D computer graphics","level":3,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C109772839","wikidata":"https://www.wikidata.org/wiki/Q2297645","display_name":"Software rendering","level":4,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s23187923","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23187923","pdf_url":"https://www.mdpi.com/1424-8220/23/18/7923/pdf?version=1694942895","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37765979","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37765979","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10535392","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10535392","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10535392/pdf/sensors-23-07923.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:27294663345e416da90316e8cf96a7b3","is_oa":true,"landing_page_url":"https://doaj.org/article/27294663345e416da90316e8cf96a7b3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 18, p 7923 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s23187923","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23187923","pdf_url":"https://www.mdpi.com/1424-8220/23/18/7923/pdf?version=1694942895","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1579371519","display_name":null,"funder_award_id":"2020GXNSFAA297184","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G1658742962","display_name":null,"funder_award_id":"62161031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2381666419","display_name":null,"funder_award_id":"2020GXNSFBA297097","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5400901128","display_name":null,"funder_award_id":"62161031","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6058138561","display_name":null,"funder_award_id":", No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8590439215","display_name":null,"funder_award_id":"2020GXNSFBA297097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386838094.pdf"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W2033140753","https://openalex.org/W2068254026","https://openalex.org/W2109024809","https://openalex.org/W2131070359","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2341829365","https://openalex.org/W2518546937","https://openalex.org/W2737906554","https://openalex.org/W2753763724","https://openalex.org/W2761287863","https://openalex.org/W2801903600","https://openalex.org/W2806950085","https://openalex.org/W2810054506","https://openalex.org/W2883618893","https://openalex.org/W2914606507","https://openalex.org/W2917023501","https://openalex.org/W2922112251","https://openalex.org/W2946413436","https://openalex.org/W2946556324","https://openalex.org/W2947628250","https://openalex.org/W2965924161","https://openalex.org/W2971165182","https://openalex.org/W2979673094","https://openalex.org/W3013589053","https://openalex.org/W3022984998","https://openalex.org/W3031251081","https://openalex.org/W3034552520","https://openalex.org/W3101531460","https://openalex.org/W3121502729","https://openalex.org/W3121610313","https://openalex.org/W3129141251","https://openalex.org/W3171696736","https://openalex.org/W3202918664","https://openalex.org/W3212255342","https://openalex.org/W4207042040","https://openalex.org/W4221044855","https://openalex.org/W4226041866","https://openalex.org/W6766564510"],"related_works":["https://openalex.org/W1523704229","https://openalex.org/W2162517666","https://openalex.org/W2072381199","https://openalex.org/W1580097083","https://openalex.org/W2117398994","https://openalex.org/W4246109498","https://openalex.org/W2347336137","https://openalex.org/W2002788761","https://openalex.org/W1981221576","https://openalex.org/W2130158812"],"abstract_inverted_index":{"High-efficiency":[0],"video":[1,11,25],"coding":[2,12,18,156,160],"(HEVC/H.265)":[3],"is":[4,35,94,116,131],"one":[5],"of":[6,30,91],"the":[7,31,38,85,92,98,108,114,122,138,147,155,159,167],"most":[8],"widely":[9],"used":[10,132],"standards.":[13],"HEVC":[14],"introduces":[15],"a":[16,62,79,128,151],"quad-tree":[17],"unit":[19],"(CU)":[20],"partition":[21,34,115],"structure":[22],"to":[23,74],"improve":[24],"compression":[26],"efficiency.":[27],"The":[28,162],"determination":[29],"optimal":[32],"CU":[33,93,99],"achieved":[36],"through":[37],"brute-force":[39],"search":[40],"rate-distortion":[41],"optimization":[42],"method,":[43],"which":[44],"may":[45],"result":[46],"in":[47,110,124],"high":[48],"encoding":[49,76],"complexity":[50,157,172],"and":[51,87,102,158,181],"hardware":[52],"implementation":[53],"challenges.":[54],"To":[55],"address":[56],"this":[57,59],"problem,":[58],"paper":[60],"proposes":[61],"method":[63,82],"that":[64,166],"combines":[65],"convolutional":[66],"neural":[67],"networks":[68],"(CNN)":[69],"with":[70,144],"joint":[71],"texture":[72,89,104,112,126,145],"recognition":[73],"reduce":[75],"complexity.":[77],"First,":[78],"classification":[80],"decision":[81],"based":[83],"on":[84],"global":[86],"local":[88],"features":[90],"proposed,":[95],"efficiently":[96],"dividing":[97],"into":[100],"smooth":[101,111],"complex":[103,125],"regions.":[105],"Second,":[106],"for":[107,133],"CUs":[109,123],"regions,":[113,127],"determined":[117],"by":[118,173,179,184],"terminating":[119],"early.":[120],"For":[121],"proposed":[129,148,168],"CNN":[130,149],"predictive":[134],"partitioning,":[135],"thus":[136],"avoiding":[137],"traditional":[139],"recursive":[140],"approach.":[141],"Finally,":[142],"combined":[143],"classification,":[146],"achieves":[150],"good":[152],"balance":[153],"between":[154],"performance.":[161],"experimental":[163],"results":[164],"demonstrate":[165],"algorithm":[169],"reduces":[170],"computational":[171],"61.23%,":[174],"while":[175],"only":[176],"increasing":[177],"BD-BR":[178],"1.86%":[180],"decreasing":[182],"BD-PSNR":[183],"just":[185],"0.09":[186],"dB.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}