{"id":"https://openalex.org/W2089822531","doi":"https://doi.org/10.1109/icme.2014.6890324","title":"Fast bi-partition mode selection for 3D HEVC depth intra coding","display_name":"Fast bi-partition mode selection for 3D HEVC depth intra coding","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2089822531","doi":"https://doi.org/10.1109/icme.2014.6890324","mag":"2089822531"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2014.6890324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2014.6890324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111632139","display_name":"Zhouye Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhouye Gu","raw_affiliation_strings":["Santa Clara University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Santa Clara University","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633350","display_name":"Jianhua Zheng","orcid":"https://orcid.org/0000-0003-0224-0270"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianhua Zheng","raw_affiliation_strings":["Hisilicon Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hisilicon Technologies","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018686979","display_name":"Nam Ling","orcid":"https://orcid.org/0000-0002-5741-7937"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nam Ling","raw_affiliation_strings":["Santa Clara University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Santa Clara University","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069730737","display_name":"Philipp Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Philipp Zhang","raw_affiliation_strings":["Hisilicon Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hisilicon Technologies","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":1.0,"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":1.0,"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":0.9994999766349792,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9970999956130981,"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/coding","display_name":"Coding (social sciences)","score":0.72915118932724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6595141291618347},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5724198222160339},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5109964609146118},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.44376686215400696},{"id":"https://openalex.org/keywords/selection-algorithm","display_name":"Selection algorithm","score":0.43393462896347046},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.42805713415145874},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.2551964819431305},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.2409786581993103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20753076672554016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17083075642585754},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06963828206062317}],"concepts":[{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.72915118932724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6595141291618347},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5724198222160339},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5109964609146118},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.44376686215400696},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.43393462896347046},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.42805713415145874},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2551964819431305},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2409786581993103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20753076672554016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17083075642585754},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06963828206062317},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2014.6890324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2014.6890324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Multimedia and Expo (ICME)","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":8,"referenced_works":["https://openalex.org/W2016416397","https://openalex.org/W2017319597","https://openalex.org/W2058503137","https://openalex.org/W2077609097","https://openalex.org/W2151329928","https://openalex.org/W2151654690","https://openalex.org/W6654600035","https://openalex.org/W6669640440"],"related_works":["https://openalex.org/W2018760684","https://openalex.org/W2735437354","https://openalex.org/W1579233721","https://openalex.org/W2986238322","https://openalex.org/W2028369661","https://openalex.org/W4254232196","https://openalex.org/W2908833932","https://openalex.org/W2242376282","https://openalex.org/W3091225163","https://openalex.org/W2800164157"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,81,86,132],"fast":[4,87,104],"mode":[5,39],"decision":[6],"algorithm":[7,91,105],"for":[8,27,61,101,118],"3D":[9],"High":[10],"Efficiency":[11],"Video":[12],"Coding":[13],"(3D-HEVC)":[14],"depth":[15,49],"intra":[16],"coding.":[17],"In":[18],"the":[19,30,69,95,102,126,143],"current":[20],"3D-HEVC":[21],"design,":[22],"it":[23],"is":[24],"observed":[25],"that":[26],"most":[28,44],"of":[29,37,48,145],"cases,":[31],"full":[32],"Rate-Distortion":[33],"(RD)":[34],"cost":[35,72],"search":[36],"Bi-partition":[38,57,88],"could":[40],"be":[41],"skipped":[42],"since":[43],"coding":[45],"units":[46],"(CUs)":[47],"map":[50],"are":[51,59],"very":[52],"flat":[53],"or":[54,65],"smooth":[55],"while":[56],"modes":[58,89],"designed":[60],"CUs":[62],"with":[63,111],"edge":[64],"sharp":[66],"transition.":[67],"Using":[68],"rough":[70],"RD":[71],"value":[73],"calculated":[74],"by":[75,123],"HEVC":[76],"Rough":[77],"Mode":[78],"Decision":[79],"as":[80],"selection":[82,90,127],"threshold,":[83,128],"we":[84,129],"propose":[85],"to":[92],"speed":[93],"up":[94],"encoding":[96,108,135],"process.":[97],"The":[98],"test":[99,120],"result":[100],"proposed":[103],"reports":[106],"34.4%":[107],"time":[109,136],"saving":[110,137],"0.3%":[112],"bitrate":[113,139],"increasing":[114],"on":[115,142],"synthesized":[116],"view":[117],"All-Intra":[119],"case.":[121],"Moreover,":[122],"simply":[124],"varying":[125],"can":[130],"make":[131],"tradeoff":[133],"between":[134],"and":[138],"loss":[140],"based":[141],"requirement":[144],"different":[146],"applications.":[147]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}