{"id":"https://openalex.org/W6925582486","doi":"https://doi.org/10.17615/1316-6m48","title":"Encoding of multiple depth streams","display_name":"Encoding of multiple depth streams","publication_year":2019,"publication_date":"2019-08-08","ids":{"openalex":"https://openalex.org/W6925582486","doi":"https://doi.org/10.17615/1316-6m48"},"language":"en","primary_location":{"id":"pmh:oai:cdr.lib.unc.edu:uuid:0237cf7f-0fd9-4c85-b672-67920b734dbe","is_oa":true,"landing_page_url":"https://cdr.lib.unc.edu/record/uuid:0237cf7f-0fd9-4c85-b672-67920b734dbe","pdf_url":"https://cdr.lib.unc.edu/record/uuid:0237cf7f-0fd9-4c85-b672-67920b734dbe","source":{"id":"https://openalex.org/S4306401075","display_name":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114027177","host_organization_name":"University of North Carolina at Chapel Hill","host_organization_lineage":["https://openalex.org/I114027177"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://cdr.lib.unc.edu/record/uuid:0237cf7f-0fd9-4c85-b672-67920b734dbe","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kum, Sang-Uok","orcid":null},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kum, Sang-Uok","raw_affiliation_strings":["University of North Carolina at Chapel Hill"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38006102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T14047","display_name":"Marine and environmental studies","score":0.8436999917030334,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14047","display_name":"Marine and environmental studies","score":0.8436999917030334,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12821","display_name":"Geological Formations and Processes Exploration","score":0.0617000013589859,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10965","display_name":"Geological formations and processes","score":0.012900000438094139,"subfield":{"id":"https://openalex.org/subfields/1904","display_name":"Earth-Surface Processes"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6394000053405762},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.5863999724388123},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5651000142097473},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.4580000042915344},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.43950000405311584},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4075999855995178},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.3799000084400177},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3767000138759613},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.36910000443458557},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.34150001406669617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8001000285148621},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7226999998092651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.682200014591217},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6394000053405762},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.5863999724388123},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5651000142097473},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.4580000042915344},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.43950000405311584},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.41260001063346863},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4075999855995178},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3799000084400177},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3767000138759613},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.36910000443458557},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.34150001406669617},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.33079999685287476},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.32760000228881836},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.32670000195503235},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.323199987411499},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.322299987077713},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C126669455","wikidata":"https://www.wikidata.org/wiki/Q1630941","display_name":"Teleconference","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C183072630","wikidata":"https://www.wikidata.org/wiki/Q215932","display_name":"Depth of field","level":2,"score":0.2994000017642975},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.2865000069141388},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C193581530","wikidata":"https://www.wikidata.org/wiki/Q683778","display_name":"Structured light","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.263700008392334},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:cdr.lib.unc.edu:uuid:0237cf7f-0fd9-4c85-b672-67920b734dbe","is_oa":true,"landing_page_url":"https://cdr.lib.unc.edu/record/uuid:0237cf7f-0fd9-4c85-b672-67920b734dbe","pdf_url":"https://cdr.lib.unc.edu/record/uuid:0237cf7f-0fd9-4c85-b672-67920b734dbe","source":{"id":"https://openalex.org/S4306401075","display_name":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114027177","host_organization_name":"University of North Carolina at Chapel Hill","host_organization_lineage":["https://openalex.org/I114027177"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.17615/1316-6m48","is_oa":true,"landing_page_url":"https://doi.org/10.17615/1316-6m48","pdf_url":null,"source":{"id":"https://openalex.org/S7407051488","display_name":"UNC Libraries","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:cdr.lib.unc.edu:uuid:0237cf7f-0fd9-4c85-b672-67920b734dbe","is_oa":true,"landing_page_url":"https://cdr.lib.unc.edu/record/uuid:0237cf7f-0fd9-4c85-b672-67920b734dbe","pdf_url":"https://cdr.lib.unc.edu/record/uuid:0237cf7f-0fd9-4c85-b672-67920b734dbe","source":{"id":"https://openalex.org/S4306401075","display_name":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114027177","host_organization_name":"University of North Carolina at Chapel Hill","host_organization_lineage":["https://openalex.org/I114027177"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4432504787","display_name":"ITR/SI: Real-Time Long-Distance Terascale Computation for Full Bandwidth Tele-Immersion","funder_award_id":"0121293","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4519288516","display_name":"ITR:    Protocol Coordination for Multistream Applications","funder_award_id":"0219780","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W6925582486.pdf","grobid_xml":"https://content.openalex.org/works/W6925582486.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"With":[0],"advances":[1],"in":[2,5,62],"hardware,":[3],"interests":[4],"systems":[6,21,39],"for":[7,43,49,79,150,171,229,246,260],"capturing,representing,":[8],"and":[9,32,35,70,184,213,223],"transmitting":[10],"dynamic":[11,44,67,112,151,173,200],"real":[12],"world":[13],"scenes":[14,118],"have":[15],"been":[16],"growing.":[17],"Examples":[18],"of":[19,83,102,180,191,233],"such":[20],"include":[22],"3D":[23,30,100,120,139,169],"immersive":[24],"systems,":[25,29],"tele-immersion":[26],"video":[27,56,128],"conferencing":[28],"TV,":[31],"medical":[33],"consultation":[34],"surgical":[36],"training.":[37],"These":[38],"use":[40,54,73,90],"multiple":[41,55,95,176,204,234,247],"cameras":[42,96,147],"scene":[45,50],"acquisition.":[46],"One":[47,167],"approach":[48,87,115],"acquisition":[51],"is":[52,88,106,175],"to":[53,64,72,89,97,158,163,196,257],"streams":[57,129,179,193,222,249],"captured":[58,127],"from":[59,93],"varying":[60],"viewpoints":[61],"order":[63],"form":[65],"a":[66,99,199],"light":[68,113,152,155],"field":[69,114],"then":[71,107],"image":[74],"based":[75],"rendering":[76],"(IBR)":[77],"techniques":[78],"generating":[80],"virtual":[81],"views":[82],"the":[84,91,94,103,126,172,217],"scene.":[85,201],"Another":[86],"imagery":[92],"derive":[98],"representation":[101,170],"environment":[104],"that":[105,250],"transmitted":[108,132],"with":[109,133,182],"color.":[110],"The":[111],"handles":[116],"complex":[117],"where":[119],"reconstruction":[121],"would":[122],"be":[123,131,159,164],"difficult.":[124],"Additionally,":[125],"can":[130],"little":[134],"further":[135],"processing,":[136],"while":[137],"deriving":[138],"information":[140,256],"requires":[141,210],"extensive":[142],"processing":[143],"before":[144],"transmission.However,":[145],"more":[146,161],"are":[148,194],"needed":[149,195],"fields":[153,156],"since":[154],"need":[157],"acquired":[160],"densely":[162],"as":[165],"effective.":[166],"common":[168],"environments":[174],"depth":[177,185,192,205,235,248,255],"streams-":[178],"images":[181],"color":[183,259],"per":[186,253],"pixel.":[187,262],"A":[188],"large":[189],"number":[190],"properly":[197],"represent":[198],"Without":[202],"compression,":[203],"streams,":[206],"even":[207],"sparsely":[208],"sampled,":[209],"significant":[211],"storage":[212],"transmission":[214],"bandwidth.":[215],"Fortunately,":[216],"strong":[218],"spatial":[219],"coherence":[220,225],"between":[221,226],"temporal":[224],"frames":[227],"allows":[228],"an":[230,242],"effective":[231,243],"encoding":[232,244],"streams.":[236],"In":[237],"this":[238],"dissertation,":[239],"I":[240],"present":[241],"algorithm":[245],"uses":[251],"approximate":[252],"pixel":[254],"predict":[258],"each":[261]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
