{"id":"https://openalex.org/W2067484794","doi":"https://doi.org/10.1109/vcip.2014.7051523","title":"A complexity reduction algorithm for depth maps intra prediction on the 3D-HEVC","display_name":"A complexity reduction algorithm for depth maps intra prediction on the 3D-HEVC","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2067484794","doi":"https://doi.org/10.1109/vcip.2014.7051523","mag":"2067484794"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2014.7051523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2014.7051523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Visual Communications and Image Processing Conference","raw_type":"proceedings-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/A5065080078","display_name":"Gustavo Sanchez","orcid":"https://orcid.org/0000-0002-8399-3014"},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]},{"id":"https://openalex.org/I4210147797","display_name":"Instituto Federal Farroupilha","ror":"https://ror.org/04eq71r04","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210147797"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Gustavo Sanchez","raw_affiliation_strings":["Group of Architectures and Integrated Circuits, Federal University of Pelotas \u2013 UFPEL","Instituto Federal Farroupilha \u2013 Campus Alegrete"],"affiliations":[{"raw_affiliation_string":"Group of Architectures and Integrated Circuits, Federal University of Pelotas \u2013 UFPEL","institution_ids":["https://openalex.org/I169248161"]},{"raw_affiliation_string":"Instituto Federal Farroupilha \u2013 Campus Alegrete","institution_ids":["https://openalex.org/I4210147797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009407511","display_name":"M\u00e1rio Saldanha","orcid":"https://orcid.org/0000-0002-6771-6359"},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mario Saldanha","raw_affiliation_strings":["Group of Architectures and Integrated Circuits, Federal University of Pelotas \u2013 UFPEL"],"affiliations":[{"raw_affiliation_string":"Group of Architectures and Integrated Circuits, Federal University of Pelotas \u2013 UFPEL","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062997274","display_name":"Gabriel Balota","orcid":null},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gabriel Balota","raw_affiliation_strings":["Group of Architectures and Integrated Circuits, Federal University of Pelotas \u2013 UFPEL"],"affiliations":[{"raw_affiliation_string":"Group of Architectures and Integrated Circuits, Federal University of Pelotas \u2013 UFPEL","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057414253","display_name":"Bruno Zatt","orcid":"https://orcid.org/0000-0002-8045-957X"},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bruno Zatt","raw_affiliation_strings":["Group of Architectures and Integrated Circuits, Federal University of Pelotas \u2013 UFPEL"],"affiliations":[{"raw_affiliation_string":"Group of Architectures and Integrated Circuits, Federal University of Pelotas \u2013 UFPEL","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081630912","display_name":"Marcelo Porto","orcid":"https://orcid.org/0000-0003-3827-3023"},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcelo Porto","raw_affiliation_strings":["Group of Architectures and Integrated Circuits, Federal University of Pelotas \u2013 UFPEL"],"affiliations":[{"raw_affiliation_string":"Group of Architectures and Integrated Circuits, Federal University of Pelotas \u2013 UFPEL","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070735330","display_name":"Luciano Agostini","orcid":"https://orcid.org/0000-0002-3421-5830"},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luciano Agostini","raw_affiliation_strings":["Group of Architectures and Integrated Circuits, Federal University of Pelotas \u2013 UFPEL"],"affiliations":[{"raw_affiliation_string":"Group of Architectures and Integrated Circuits, Federal University of Pelotas \u2013 UFPEL","institution_ids":["https://openalex.org/I169248161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5065080078"],"corresponding_institution_ids":["https://openalex.org/I169248161","https://openalex.org/I4210147797"],"apc_list":null,"apc_paid":null,"fwci":2.9113,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.91678241,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"137","last_page":"140"},"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":0.9998000264167786,"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":0.998199999332428,"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":0.7478300333023071},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6830863356590271},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6752699613571167},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6179803609848022},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5991191864013672},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.5242967009544373},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45342445373535156},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.20516929030418396},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.17907491326332092},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14565914869308472}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7478300333023071},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6830863356590271},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6752699613571167},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6179803609848022},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5991191864013672},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.5242967009544373},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45342445373535156},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.20516929030418396},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.17907491326332092},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14565914869308472},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2014.7051523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2014.7051523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Visual Communications and Image Processing Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1974623518","https://openalex.org/W1992842330","https://openalex.org/W2017319597","https://openalex.org/W2036117869","https://openalex.org/W2052635379","https://openalex.org/W2058503137","https://openalex.org/W2101700394","https://openalex.org/W2149969332","https://openalex.org/W2276329208","https://openalex.org/W6654600035","https://openalex.org/W6675207249"],"related_works":["https://openalex.org/W2532234348","https://openalex.org/W108084911","https://openalex.org/W2393440248","https://openalex.org/W1569386110","https://openalex.org/W2673314300","https://openalex.org/W2982169251","https://openalex.org/W2720892868","https://openalex.org/W2103406007","https://openalex.org/W2161045342","https://openalex.org/W2943002782"],"abstract_inverted_index":{"This":[0,56,96],"paper":[1,80],"proposes":[2,81],"a":[3,26,70,82,99,137],"complexity":[4,83,138],"reduction":[5,84,139],"algorithm":[6,85,97],"for":[7,32,74,86],"the":[8,14,33,53,65,87,102,105,110,115,119,157,160],"depth":[9,34,143],"maps":[10,144],"intra":[11,54],"prediction":[12],"of":[13,29,104,122,140,159],"emerging":[15],"3D":[16],"High":[17],"Efficiency":[18],"Video":[19],"Coding":[20],"standard":[21],"(3D-HEVC).":[22],"The":[23],"3D-HEVC":[24],"introduces":[25],"new":[27,46],"set":[28],"specific":[30],"tools":[31],"map":[35],"coding":[36],"that":[37,129],"includes":[38],"four":[39],"Depth":[40],"Modeling":[41],"Modes":[42],"(DMM)":[43],"and":[44,61,108],"these":[45],"features":[47],"have":[48],"inserted":[49],"extra":[50,57],"effort":[51,58,121],"on":[52,142,156],"prediction.":[55],"is":[59,69,131],"undesired":[60],"contributes":[62],"to":[63,101,113,133],"increasing":[64],"power":[66],"consumption,":[67],"which":[68],"huge":[71],"problem":[72],"especially":[73],"embedded-systems.":[75],"For":[76],"this":[77,79],"reason,":[78],"DMM":[88,116,123],"1,":[89,117],"called":[90],"Gradient-Based":[91],"Mode":[92],"One":[93],"Filter":[94],"(GMOF).":[95],"applies":[98],"filter":[100],"borders":[103],"encoded":[106],"block":[107],"determines":[109],"best":[111],"positions":[112],"evaluate":[114],"reducing":[118],"computational":[120],"1":[124],"process.":[125],"Experimental":[126],"analysis":[127],"showed":[128],"GMOF":[130],"capable":[132],"achieve,":[134],"in":[135],"average,":[136],"9.8%":[141],"prediction,":[145],"when":[146],"evaluating":[147],"under":[148],"Common":[149],"Test":[150],"Conditions":[151],"(CTC),":[152],"with":[153],"minor":[154],"impacts":[155],"quality":[158],"synthesized":[161],"views.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
