{"id":"https://openalex.org/W2516458176","doi":"https://doi.org/10.1109/icme.2016.7552984","title":"Lossless depth map coding using binary tree based decomposition and context-based arithmetic coding","display_name":"Lossless depth map coding using binary tree based decomposition and context-based arithmetic coding","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2516458176","doi":"https://doi.org/10.1109/icme.2016.7552984","mag":"2516458176"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2016.7552984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Lossless_depth_map_coding_using_binary_tree_based_decomposition_and_context-based_arithmetic_coding/21314367","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009535439","display_name":"Shampa Shahriyar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shampa Shahriyar","raw_affiliation_strings":["Faculty of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010357798","display_name":"Manzur Murshed","orcid":"https://orcid.org/0000-0001-7079-9717"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Manzur Murshed","raw_affiliation_strings":["Federation University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federation University, Australia","institution_ids":["https://openalex.org/I149672521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101892785","display_name":"Mortuza Ali","orcid":"https://orcid.org/0000-0001-9886-1615"},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mortuza Ali","raw_affiliation_strings":["Charles Sturt University, Australia","School of Computing and Mathematics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Charles Sturt University, Australia","institution_ids":["https://openalex.org/I153230381"]},{"raw_affiliation_string":"School of Computing and Mathematics","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002818315","display_name":"Manoranjan Paul","orcid":"https://orcid.org/0000-0001-6870-5056"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Manoranjan Paul","raw_affiliation_strings":["Federation University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federation University, Australia","institution_ids":["https://openalex.org/I149672521"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0994,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77458909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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":0.9997000098228455,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9987000226974487,"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/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.8437243103981018},{"id":"https://openalex.org/keywords/arithmetic-coding","display_name":"Arithmetic coding","score":0.8011334538459778},{"id":"https://openalex.org/keywords/context-adaptive-variable-length-coding","display_name":"Context-adaptive variable-length coding","score":0.7962456941604614},{"id":"https://openalex.org/keywords/tunstall-coding","display_name":"Tunstall coding","score":0.7403876185417175},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.682765007019043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6518605947494507},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.6351758241653442},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.5906189680099487},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5710266828536987},{"id":"https://openalex.org/keywords/variable-length-code","display_name":"Variable-length code","score":0.49210208654403687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48321402072906494},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.4830196797847748},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47593310475349426},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.462047278881073},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.4563260078430176},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.437579870223999},{"id":"https://openalex.org/keywords/residual-frame","display_name":"Residual frame","score":0.4295658469200134},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.42610305547714233},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4171474277973175},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3284842073917389},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3246873617172241},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.2937096357345581},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.1996893584728241},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.17105090618133545},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.11395293474197388}],"concepts":[{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.8437243103981018},{"id":"https://openalex.org/C153338461","wikidata":"https://www.wikidata.org/wiki/Q2651","display_name":"Arithmetic coding","level":4,"score":0.8011334538459778},{"id":"https://openalex.org/C135534801","wikidata":"https://www.wikidata.org/wiki/Q1128721","display_name":"Context-adaptive variable-length coding","level":4,"score":0.7962456941604614},{"id":"https://openalex.org/C73231260","wikidata":"https://www.wikidata.org/wiki/Q7853376","display_name":"Tunstall coding","level":4,"score":0.7403876185417175},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.682765007019043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6518605947494507},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.6351758241653442},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.5906189680099487},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5710266828536987},{"id":"https://openalex.org/C60603091","wikidata":"https://www.wikidata.org/wiki/Q2981616","display_name":"Variable-length code","level":3,"score":0.49210208654403687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48321402072906494},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.4830196797847748},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47593310475349426},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.462047278881073},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.4563260078430176},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.437579870223999},{"id":"https://openalex.org/C204641915","wikidata":"https://www.wikidata.org/wiki/Q7315509","display_name":"Residual frame","level":4,"score":0.4295658469200134},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.42610305547714233},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4171474277973175},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3284842073917389},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3246873617172241},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.2937096357345581},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.1996893584728241},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.17105090618133545},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.11395293474197388},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icme.2016.7552984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:vital:10835","is_oa":false,"landing_page_url":"http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/102940","pdf_url":null,"source":{"id":"https://openalex.org/S4306400234","display_name":"FedUni ResearchOnline (Federation University Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210158496","host_organization_name":"Australian Federation of University Women \u2013 South Australia","host_organization_lineage":["https://openalex.org/I4210158496"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference proceedings"},{"id":"pmh:oai:figshare.com:article/21314367","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Lossless_depth_map_coding_using_binary_tree_based_decomposition_and_context-based_arithmetic_coding/21314367","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/21314367","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Lossless_depth_map_coding_using_binary_tree_based_decomposition_and_context-based_arithmetic_coding/21314367","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":null,"raw_type":"Conference contribution"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W788498898","https://openalex.org/W1931332483","https://openalex.org/W1974623518","https://openalex.org/W2044824841","https://openalex.org/W2047563047","https://openalex.org/W2115613939","https://openalex.org/W2129768577","https://openalex.org/W2131493133","https://openalex.org/W2140196014","https://openalex.org/W2140199336","https://openalex.org/W2144052068","https://openalex.org/W2146395539","https://openalex.org/W2169930617","https://openalex.org/W2344435800","https://openalex.org/W2533566708","https://openalex.org/W2613892406","https://openalex.org/W6681349680","https://openalex.org/W6728697096","https://openalex.org/W6737710387"],"related_works":["https://openalex.org/W2243473167","https://openalex.org/W2045024766","https://openalex.org/W2131702615","https://openalex.org/W2375774096","https://openalex.org/W1587903609","https://openalex.org/W2136537500","https://openalex.org/W2067610958","https://openalex.org/W1579872668","https://openalex.org/W61332197","https://openalex.org/W2106538169"],"abstract_inverted_index":{"Depth":[0,16],"maps":[1],"are":[2,23,114],"becoming":[3],"increasingly":[4],"important":[5],"in":[6,64,99,140],"the":[7,19,37,49,87,126,131,141],"context":[8,121],"of":[9,27,39,53,110,143],"emerging":[10],"video":[11,129],"coding":[12,59,83,135],"and":[13,22],"processing":[14],"applications.":[15],"images":[17],"represent":[18],"scene":[20],"surface":[21],"characterized":[24],"by":[25,33,105],"areas":[26],"smoothly":[28],"varying":[29],"grey":[30],"levels":[31],"separated":[32],"sharp":[34],"edges":[35],"at":[36,48],"position":[38],"object":[40],"boundaries.":[41],"To":[42],"enable":[43],"high":[44],"quality":[45],"view":[46],"rendering":[47,62],"receiver":[50],"side,":[51],"preservation":[52],"these":[54],"characteristics":[55],"is":[56,103],"important.":[57],"Lossless":[58],"enables":[60],"avoiding":[61],"artifacts":[63],"synthesized":[65],"views":[66],"due":[67],"to":[68,145],"depth":[69,82,100,134],"compression":[70,138],"artifacts.":[71],"In":[72],"this":[73],"paper,":[74],"we":[75],"propose":[76],"a":[77,118],"binary":[78,93],"tree":[79],"based":[80,122],"lossless":[81,133],"scheme":[84],"that":[85],"arranges":[86],"residual":[88,94,101],"frame":[89,102],"into":[90],"integer":[91],"or":[92],"bitmap.":[95],"High":[96],"spatial":[97],"correlation":[98],"exploited":[104],"creating":[106],"large":[107],"homogeneous":[108],"blocks":[109],"adaptive":[111],"size,":[112],"which":[113],"then":[115],"coded":[116],"as":[117],"unit":[119],"using":[120],"arithmetic":[123],"coding.":[124],"On":[125],"standard":[127],"3D":[128],"sequences,":[130],"proposed":[132],"has":[136],"achieved":[137],"ratio":[139],"range":[142],"20":[144],"80.":[146]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}