{"id":"https://openalex.org/W2890661530","doi":"https://doi.org/10.1109/icip.2018.8451802","title":"Intra-Frame Context-Based Octree Coding for Point-Cloud Geometry","display_name":"Intra-Frame Context-Based Octree Coding for Point-Cloud Geometry","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2890661530","doi":"https://doi.org/10.1109/icip.2018.8451802","mag":"2890661530"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5074153759","display_name":"Diogo C. Garcia","orcid":"https://orcid.org/0000-0002-3816-0873"},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Diogo C. Garcia","raw_affiliation_strings":["Universidade de Brasilia, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade de Brasilia, Brasil","institution_ids":["https://openalex.org/I150729083"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044603981","display_name":"Ricardo L. de Queiroz","orcid":"https://orcid.org/0000-0002-3911-1838"},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ricardo L. de Queiroz","raw_affiliation_strings":["Universidade de Brasilia, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade de Brasilia, Brasil","institution_ids":["https://openalex.org/I150729083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150729083"],"apc_list":null,"apc_paid":null,"fwci":20.6056,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.9937002,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1807","last_page":"1811"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/octree","display_name":"Octree","score":0.9126083850860596},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8018597364425659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.661498486995697},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.6315217018127441},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6249980926513672},{"id":"https://openalex.org/keywords/intra-frame","display_name":"Intra-frame","score":0.5490612387657166},{"id":"https://openalex.org/keywords/geometry-processing","display_name":"Geometry processing","score":0.47809693217277527},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.460694283246994},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.46020811796188354},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.4529981017112732},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.44973671436309814},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44733721017837524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36617928743362427},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.3300098776817322},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24030610918998718}],"concepts":[{"id":"https://openalex.org/C141297171","wikidata":"https://www.wikidata.org/wiki/Q1143237","display_name":"Octree","level":2,"score":0.9126083850860596},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8018597364425659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.661498486995697},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.6315217018127441},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6249980926513672},{"id":"https://openalex.org/C125864890","wikidata":"https://www.wikidata.org/wiki/Q1262687","display_name":"Intra-frame","level":3,"score":0.5490612387657166},{"id":"https://openalex.org/C2779521785","wikidata":"https://www.wikidata.org/wiki/Q5535529","display_name":"Geometry processing","level":3,"score":0.47809693217277527},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.460694283246994},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.46020811796188354},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.4529981017112732},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.44973671436309814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44733721017837524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36617928743362427},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3300098776817322},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24030610918998718},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2018.8451802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:repositorio2.unb.br:10482/47935","is_oa":false,"landing_page_url":"http://repositorio2.unb.br/jspui/handle/10482/47935","pdf_url":null,"source":{"id":"https://openalex.org/S4377196379","display_name":"RIUnB Institutional Repository (University of Bras\u00edlia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I150729083","host_organization_name":"Universidade de Bras\u00edlia","host_organization_lineage":["https://openalex.org/I150729083"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Trabalho\u00a0apresentado em evento"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1588594383","https://openalex.org/W2056176871","https://openalex.org/W2074954154","https://openalex.org/W2089365261","https://openalex.org/W2134076294","https://openalex.org/W2149647084","https://openalex.org/W2167724667","https://openalex.org/W2168087197","https://openalex.org/W2249309460","https://openalex.org/W2319503556","https://openalex.org/W2415653907","https://openalex.org/W2532511219","https://openalex.org/W2724272548","https://openalex.org/W2752643636","https://openalex.org/W2790832308","https://openalex.org/W3038072774","https://openalex.org/W4205318349","https://openalex.org/W4285719527","https://openalex.org/W6635219794","https://openalex.org/W6684964912"],"related_works":["https://openalex.org/W2128890367","https://openalex.org/W3015028689","https://openalex.org/W4287817374","https://openalex.org/W2155738200","https://openalex.org/W2167897635","https://openalex.org/W3031396426","https://openalex.org/W1489137","https://openalex.org/W1547343187","https://openalex.org/W1945246094","https://openalex.org/W2890661530"],"abstract_inverted_index":{"3D":[0],"and":[1,15,43,60],"free-viewpoint":[2],"video":[3],"has":[4],"been":[5],"slowly":[6],"adopting":[7],"a":[8,71],"solid":[9],"representation,":[10,24,54],"such":[11],"as":[12],"using":[13],"meshes":[14,20],"point-clouds.":[16],"Among":[17],"other":[18],"characteristics,":[19],"provide":[21,85],"direct":[22],"surface":[23],"while":[25],"point-cloud":[26,47,77],"processing":[27],"requires":[28],"less":[29],"computation.":[30],"Points":[31],"in":[32],"the":[33,52,81,94,109],"cloud":[34],"are":[35],"minimally":[36],"represented":[37],"by":[38,65],"their":[39],"geometry":[40,48],"(3D":[41],"position)":[42],"color.":[44],"A":[45],"common":[46],"compression":[49,74],"method":[50,75],"is":[51],"octree":[53,82,110],"which":[55,79],"acts":[56],"on":[57],"individual":[58],"frames":[59],"can":[61],"be":[62],"further":[63],"compressed":[64],"entropy":[66,89],"encoding.":[67],"This":[68],"paper":[69],"presents":[70],"lossless":[72],"intra-frame":[73],"for":[76,88],"geometry,":[78],"uses":[80],"structure":[83],"to":[84,108],"better":[86],"contexts":[87],"coding.":[90],"Results":[91],"show":[92],"that":[93],"proposed":[95],"solution":[96],"offers":[97],"state-of-the-art":[98],"performance,":[99],"with":[100],"an":[101],"average":[102],"rate":[103],"reduction":[104],"of":[105],"29%":[106],"compared":[107],"representation.":[111]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":9}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
