{"id":"https://openalex.org/W2970361793","doi":"https://doi.org/10.1109/icip.2019.8803403","title":"Rate-Distortion Optimized Tree-Structured Point-Lattice Vector Quantization for Compression of 3D Point Clouds Geometry","display_name":"Rate-Distortion Optimized Tree-Structured Point-Lattice Vector Quantization for Compression of 3D Point Clouds Geometry","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970361793","doi":"https://doi.org/10.1109/icip.2019.8803403","mag":"2970361793"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5046306846","display_name":"Amira Filali","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117005","display_name":"Laboratoire des Sciences du Num\u00e9rique de Nantes","ror":"https://ror.org/02snf8m58","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100445878","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I4210117005","https://openalex.org/I4210124215","https://openalex.org/I4210127572","https://openalex.org/I4210139971","https://openalex.org/I97188460","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Amira Filali","raw_affiliation_strings":["Nantes University, Nantes, France","LS2N - Laboratoire des Sciences du Num\u00e9rique de Nantes (Universit\u00e9 de Nantes \u2013 facult\u00e9 des Sciences et Techniques (FST)\r\n2 Chemin de la Houssini\u00e8re\r\nBP 92208, 44322 Nantes Cedex 3 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nantes University, Nantes, France","institution_ids":["https://openalex.org/I97188460"]},{"raw_affiliation_string":"LS2N - Laboratoire des Sciences du Num\u00e9rique de Nantes (Universit\u00e9 de Nantes \u2013 facult\u00e9 des Sciences et Techniques (FST)\r\n2 Chemin de la Houssini\u00e8re\r\nBP 92208, 44322 Nantes Cedex 3 - France)","institution_ids":["https://openalex.org/I4210117005","https://openalex.org/I97188460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015435082","display_name":"Vincent Ricordel","orcid":"https://orcid.org/0000-0001-9193-9512"},"institutions":[{"id":"https://openalex.org/I4210117005","display_name":"Laboratoire des Sciences du Num\u00e9rique de Nantes","ror":"https://ror.org/02snf8m58","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100445878","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I4210117005","https://openalex.org/I4210124215","https://openalex.org/I4210127572","https://openalex.org/I4210139971","https://openalex.org/I97188460","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vincent Ricordel","raw_affiliation_strings":["Nantes University, Nantes, France","LS2N - Laboratoire des Sciences du Num\u00e9rique de Nantes (Universit\u00e9 de Nantes \u2013 facult\u00e9 des Sciences et Techniques (FST)\r\n2 Chemin de la Houssini\u00e8re\r\nBP 92208, 44322 Nantes Cedex 3 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nantes University, Nantes, France","institution_ids":["https://openalex.org/I97188460"]},{"raw_affiliation_string":"LS2N - Laboratoire des Sciences du Num\u00e9rique de Nantes (Universit\u00e9 de Nantes \u2013 facult\u00e9 des Sciences et Techniques (FST)\r\n2 Chemin de la Houssini\u00e8re\r\nBP 92208, 44322 Nantes Cedex 3 - France)","institution_ids":["https://openalex.org/I4210117005","https://openalex.org/I97188460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090515318","display_name":"Nicolas Normand","orcid":"https://orcid.org/0000-0002-8353-2568"},"institutions":[{"id":"https://openalex.org/I4210117005","display_name":"Laboratoire des Sciences du Num\u00e9rique de Nantes","ror":"https://ror.org/02snf8m58","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100445878","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I4210117005","https://openalex.org/I4210124215","https://openalex.org/I4210127572","https://openalex.org/I4210139971","https://openalex.org/I97188460","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Normand","raw_affiliation_strings":["Nantes University, Nantes, France","LS2N - Laboratoire des Sciences du Num\u00e9rique de Nantes (Universit\u00e9 de Nantes \u2013 facult\u00e9 des Sciences et Techniques (FST)\r\n2 Chemin de la Houssini\u00e8re\r\nBP 92208, 44322 Nantes Cedex 3 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nantes University, Nantes, France","institution_ids":["https://openalex.org/I97188460"]},{"raw_affiliation_string":"LS2N - Laboratoire des Sciences du Num\u00e9rique de Nantes (Universit\u00e9 de Nantes \u2013 facult\u00e9 des Sciences et Techniques (FST)\r\n2 Chemin de la Houssini\u00e8re\r\nBP 92208, 44322 Nantes Cedex 3 - France)","institution_ids":["https://openalex.org/I4210117005","https://openalex.org/I97188460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084205574","display_name":"Wassim Hamidouche","orcid":"https://orcid.org/0000-0002-0143-1756"},"institutions":[{"id":"https://openalex.org/I3124938446","display_name":"Universit\u00e9 Rennes 2","ror":"https://ror.org/01m84wm78","country_code":"FR","type":"education","lineage":["https://openalex.org/I3124938446"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Wassim Hamidouche","raw_affiliation_strings":["Rennes University, Rennes, France","IETR - Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique (Campus de Beaulieu B\u00e2timent 11D\r\n263 Av.G\u00e9n\u00e9ral Leclerc-CS 74205\r\n 35042 Rennes Cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rennes University, Rennes, France","institution_ids":["https://openalex.org/I3124938446"]},{"raw_affiliation_string":"IETR - Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique (Campus de Beaulieu B\u00e2timent 11D\r\n263 Av.G\u00e9n\u00e9ral Leclerc-CS 74205\r\n 35042 Rennes Cedex - France)","institution_ids":["https://openalex.org/I4210100151"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1099","last_page":"1103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9991999864578247,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9984999895095825,"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/point-cloud","display_name":"Point cloud","score":0.7552372217178345},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.6478012800216675},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5945677757263184},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5541601777076721},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.47647401690483093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47099679708480835},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.4429703950881958},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.4295319616794586},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.42626655101776123},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4142838716506958},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35279059410095215},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.33607375621795654},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3232544958591461},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.21292772889137268},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.185072124004364}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7552372217178345},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.6478012800216675},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5945677757263184},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5541601777076721},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.47647401690483093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47099679708480835},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.4429703950881958},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.4295319616794586},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.42626655101776123},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4142838716506958},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35279059410095215},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.33607375621795654},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3232544958591461},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.21292772889137268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.185072124004364},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2019.8803403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02321752v1","is_oa":false,"landing_page_url":"https://hal.science/hal-02321752","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP), Sep 2019, Taipei, Taiwan. pp.1099-1103, ⟨10.1109/ICIP.2019.8803403⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1521508804","https://openalex.org/W1529450504","https://openalex.org/W1983950053","https://openalex.org/W1995990042","https://openalex.org/W2043017705","https://openalex.org/W2123741565","https://openalex.org/W2139621587","https://openalex.org/W2144392304","https://openalex.org/W2169161136","https://openalex.org/W2169461469","https://openalex.org/W2189330674","https://openalex.org/W2516853023","https://openalex.org/W2565708152","https://openalex.org/W2567330569","https://openalex.org/W2613636693","https://openalex.org/W2751451999","https://openalex.org/W2790289405","https://openalex.org/W2793293836","https://openalex.org/W2905544027","https://openalex.org/W4292414116","https://openalex.org/W6631145506","https://openalex.org/W6631686956"],"related_works":["https://openalex.org/W2547124190","https://openalex.org/W2612151195","https://openalex.org/W2385628723","https://openalex.org/W2888954728","https://openalex.org/W2552401318","https://openalex.org/W108076602","https://openalex.org/W3180760233","https://openalex.org/W4384342390","https://openalex.org/W3035703949","https://openalex.org/W4247601675"],"abstract_inverted_index":{"This":[0,57],"paper":[1],"deals":[2],"with":[3],"the":[4,66,76,84,89,95,116,132,134,149,160,172,175],"current":[5],"trends":[6],"of":[7,25,75,83,88,123,131,174,182],"new":[8,45],"compression":[9,67,161,181],"methods":[10],"for":[11,69,179],"3-D":[12],"point":[13,27,71,99,118],"cloud":[14],"contents":[15],"required":[16],"to":[17,113,141,147],"ensure":[18],"efficient":[19],"transmission":[20],"and":[21,105,155,163],"storage.":[22],"The":[23,73],"representation":[24,48,58],"3D":[26,62,117],"clouds":[28,119],"geometry":[29,47,156],"remains":[30],"a":[31,44,121,142],"challenging":[32],"problem,":[33],"since":[34],"this":[35,40],"signal":[36],"is":[37,138],"unstructured.":[38],"In":[39],"paper,":[41],"we":[42],"introduce":[43],"hierarchical":[46],"based":[49],"on":[50,102],"adaptive":[51,81,104],"Tree-Structured":[52],"Point-Lattice":[53],"Vector":[54],"Quantization":[55],"(TSPLVQ).":[56],"enables":[59],"hierarchically":[60],"structured":[61],"content":[63],"that":[64,92,159],"improves":[65],"performance":[68,164],"static":[70],"clouds.":[72],"novelty":[74],"proposed":[77,176],"scheme":[78,87,137],"lies":[79],"in":[80,98,145],"selection":[82],"optimal":[85,135],"quantization":[86,109,136],"geometric":[90],"information,":[91],"better":[93],"leverage":[94],"intrinsic":[96],"correlations":[97],"cloud.":[100],"Based":[101],"its":[103],"multiscale":[106],"structure,":[107],"two":[108],"schemes":[110],"are":[111],"dedicated":[112],"project":[114],"recursively":[115],"into":[120],"series":[122],"embedded":[124],"truncated":[125],"cubic":[126],"lattices.":[127],"At":[128],"each":[129],"step":[130],"process,":[133],"selected":[139],"according":[140],"rate-distortion":[143],"cost":[144],"order":[146],"achieve":[148],"best":[150],"trade-off":[151],"between":[152],"coding":[153],"rate":[154],"distortion,":[157],"such":[158],"flexibility":[162],"can":[165],"be":[166],"greatly":[167],"improved.":[168],"Experimental":[169],"results":[170],"show":[171],"interest":[173],"multi-scale":[177],"method":[178],"lossy":[180],"geometry.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}