{"id":"https://openalex.org/W2790832308","doi":"https://doi.org/10.1109/icip.2017.8296514","title":"Context-based octree coding for point-cloud video","display_name":"Context-based octree coding for point-cloud video","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2790832308","doi":"https://doi.org/10.1109/icip.2017.8296514","mag":"2790832308"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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":12.4589,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.98571429,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1412","last_page":"1416"},"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":0.9998999834060669,"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":0.9990000128746033,"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":0.9310376644134521},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.766776978969574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.695900559425354},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5506076216697693},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.5235504508018494},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.5160483717918396},{"id":"https://openalex.org/keywords/intra-frame","display_name":"Intra-frame","score":0.515142560005188},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.482596755027771},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4632026255130768},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.4613184630870819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4491352140903473},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.4290277361869812},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.38988542556762695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20997107028961182}],"concepts":[{"id":"https://openalex.org/C141297171","wikidata":"https://www.wikidata.org/wiki/Q1143237","display_name":"Octree","level":2,"score":0.9310376644134521},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.766776978969574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.695900559425354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5506076216697693},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.5235504508018494},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.5160483717918396},{"id":"https://openalex.org/C125864890","wikidata":"https://www.wikidata.org/wiki/Q1262687","display_name":"Intra-frame","level":3,"score":0.515142560005188},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.482596755027771},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4632026255130768},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.4613184630870819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4491352140903473},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.4290277361869812},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.38988542556762695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20997107028961182},{"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":1,"locations":[{"id":"doi:10.1109/icip.2017.8296514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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":14,"referenced_works":["https://openalex.org/W1588594383","https://openalex.org/W2044618760","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/W3038072774","https://openalex.org/W4205318349","https://openalex.org/W6635219794","https://openalex.org/W6684964912"],"related_works":["https://openalex.org/W2944364885","https://openalex.org/W2086725690","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"],"abstract_inverted_index":{"3D":[0],"and":[1,12,21,35],"free-viewpoint":[2],"video":[3],"has":[4],"been":[5],"moving":[6],"towards":[7],"solid-scene":[8],"representation":[9],"using":[10],"meshes":[11],"point":[13],"clouds.":[14],"Point-cloud":[15],"processing":[16],"requires":[17],"much":[18],"less":[19],"computation":[20],"the":[22,25,44,79,82,95],"points":[23],"in":[24],"cloud":[26],"are":[27],"minimally":[28],"represented":[29],"by":[30,62],"their":[31],"geometry":[32,40],"(3D":[33],"position)":[34],"color.":[36],"A":[37],"common":[38],"point-cloud":[39,60],"compression":[41,57],"method":[42,58],"is":[43],"octree":[45,65,80,96],"representation,":[46,81],"which":[47],"acts":[48],"on":[49,67],"individual":[50],"frames.":[51],"We":[52],"present":[53],"a":[54],"lossless":[55],"inter-frame":[56],"for":[59],"geometry,":[61],"reordering":[63],"each":[64],"based":[66],"previous":[68],"frames":[69],"prior":[70],"to":[71,78],"entropy":[72],"coding.":[73],"Results":[74],"show":[75],"that":[76],"compared":[77],"proposed":[83],"solution":[84],"offers":[85],"an":[86,98],"average":[87,99],"rate":[88,100],"reduction":[89,101],"of":[90,94,102],"30%,":[91],"while":[92],"entropy-coding":[93],"yields":[97],"24%.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
