{"id":"https://openalex.org/W2885721429","doi":"https://doi.org/10.1109/access.2018.2864881","title":"Fast Intra CTU Depth Decision for HEVC","display_name":"Fast Intra CTU Depth Decision for HEVC","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2885721429","doi":"https://doi.org/10.1109/access.2018.2864881","mag":"2885721429"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2864881","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2864881","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2864881","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037829818","display_name":"Zeqi Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zeqi Feng","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Networks, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Networks, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100660888","display_name":"Pengyu Liu","orcid":"https://orcid.org/0000-0002-7198-4102"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pengyu Liu","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Networks, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Networks, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008153237","display_name":"Kebin Jia","orcid":"https://orcid.org/0000-0001-7620-2221"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kebin Jia","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Networks, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Networks, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045314081","display_name":"Kun Duan","orcid":"https://orcid.org/0000-0003-3897-4081"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kun Duan","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Networks, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Networks, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037829818"],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.4863,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.83418418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"45262","last_page":"45269"},"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":0.9980999827384949,"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":0.9961000084877014,"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":0.7639133334159851},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.6783025860786438},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6625961065292358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48368698358535767},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4591696858406067},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.443711519241333},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4380279779434204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32902973890304565},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17080360651016235},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.14821398258209229},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11473995447158813}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7639133334159851},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.6783025860786438},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6625961065292358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48368698358535767},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4591696858406067},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.443711519241333},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4380279779434204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32902973890304565},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17080360651016235},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.14821398258209229},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11473995447158813}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2864881","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2864881","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:138f32c310d148dbaabf783b0c342148","is_oa":true,"landing_page_url":"https://doaj.org/article/138f32c310d148dbaabf783b0c342148","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 45262-45269 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2864881","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2864881","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G1109317669","display_name":null,"funder_award_id":"4172001","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G1823866556","display_name":null,"funder_award_id":"61672064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4248041599","display_name":null,"funder_award_id":"2015ZZ-23","funder_id":"https://openalex.org/F4320323068","funder_display_name":"Beijing Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7316145455","display_name":null,"funder_award_id":"2016T90022","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8352818515","display_name":null,"funder_award_id":"2015M580029","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320323068","display_name":"Beijing Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1528894662","https://openalex.org/W1969665649","https://openalex.org/W1994184824","https://openalex.org/W2006528703","https://openalex.org/W2033154814","https://openalex.org/W2034956274","https://openalex.org/W2060800149","https://openalex.org/W2077743816","https://openalex.org/W2101700394","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2511386806","https://openalex.org/W2516814643","https://openalex.org/W2610325777","https://openalex.org/W2771169645","https://openalex.org/W6648751613"],"related_works":["https://openalex.org/W2735437354","https://openalex.org/W2908833932","https://openalex.org/W2022760311","https://openalex.org/W4254232196","https://openalex.org/W1579233721","https://openalex.org/W2018760684","https://openalex.org/W2242376282","https://openalex.org/W2560965210","https://openalex.org/W2120007390","https://openalex.org/W2575546935"],"abstract_inverted_index":{"Coding":[0,23],"tree":[1],"unit":[2,74],"(CTU)":[3],"partition":[4,128],"technique":[5,62],"is":[6,31,63,76,112,115,129],"one":[7],"of":[8,19,28,35,43],"the":[9,16,26,33,41,67,104,125,137,144],"most":[10],"advanced":[11],"techniques,":[12],"which":[13,96,114],"devotes":[14],"to":[15,99,171],"excellent":[17],"performance":[18,30],"High":[20],"Efficiency":[21],"Video":[22],"(HEVC).":[24],"However,":[25],"enhancement":[27],"coding":[29,37,73,174],"at":[32],"expense":[34],"increased":[36],"complexity.":[38],"To":[39],"reduce":[40],"complexity":[42,71],"HEVC":[44,107,173],"intracoding,":[45],"a":[46],"fast":[47],"CTU":[48,118,127],"depth":[49,75,101,121,138],"decision":[50],"algorithm":[51,146,169],"based":[52],"on":[53,79],"texture":[54,70,94],"features":[55],"and":[56,72,87,120],"convolutional":[57],"neural":[58],"network":[59],"(CNN)":[60],"classification":[61,119],"proposed":[64,145,168],"herein.":[65],"First,":[66],"relationship":[68],"between":[69],"explored.":[77],"Based":[78],"this,":[80],"CTUs":[81,86,89],"are":[82,97],"divided":[83],"into":[84],"simple":[85],"complex":[88],"in":[90,136],"line":[91],"with":[92,154,164],"their":[93],"complexity,":[95],"limited":[98],"different":[100],"ranges.":[102],"Then,":[103],"CNN":[105],"for":[106,117],"intradepth":[108],"range":[109,122],"(HIDR-CNN)":[110],"decision-making":[111],"proposed,":[113],"used":[116],"restriction.":[123],"Finally,":[124],"optimal":[126],"achieved":[130],"by":[131],"recursive":[132],"rate-distortion":[133],"cost":[134],"calculation":[135],"range.":[139],"Experimental":[140],"results":[141],"show":[142],"that":[143],"can":[147],"yield":[148],"average":[149],"27.54%":[150],"encoding":[151],"time":[152],"reduction":[153],"0.99%":[155],"BDBR":[156],"gain":[157],"or":[158],"0.05":[159],"dB":[160],"BDPSNR":[161],"loss":[162],"compared":[163],"HM":[165],"16.9.":[166],"The":[167],"contributes":[170],"promote":[172],"efficiency":[175],"under":[176],"real-time":[177],"environments.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}