{"id":"https://openalex.org/W4391306758","doi":"https://doi.org/10.1109/vcip59821.2023.10402785","title":"Octree-Based Temporal-Spatial Context Entropy Model for LiDAR Point Cloud Compression","display_name":"Octree-Based Temporal-Spatial Context Entropy Model for LiDAR Point Cloud Compression","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4391306758","doi":"https://doi.org/10.1109/vcip59821.2023.10402785"},"language":"en","primary_location":{"id":"doi:10.1109/vcip59821.2023.10402785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip59821.2023.10402785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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/A5013533432","display_name":"Longhua Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Longhua Sun","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China","Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346140","display_name":"Jin Wang","orcid":"https://orcid.org/0000-0002-1531-0912"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Wang","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China","Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347721","display_name":"Yunhui Shi","orcid":"https://orcid.org/0000-0002-8480-0536"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhui Shi","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China","Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086607958","display_name":"Qing Zhu","orcid":"https://orcid.org/0000-0001-7380-485X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Zhu","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China","Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020527092","display_name":"Baocai Yin","orcid":"https://orcid.org/0000-0003-3121-1823"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baocai Yin","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China","Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018686979","display_name":"Nam Ling","orcid":"https://orcid.org/0000-0002-5741-7937"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nam Ling","raw_affiliation_strings":["Santa Clara University,Department of Computer Engineering,California,USA","Department of Computer Engineering, Santa Clara University, California, USA"],"affiliations":[{"raw_affiliation_string":"Santa Clara University,Department of Computer Engineering,California,USA","institution_ids":["https://openalex.org/I16269868"]},{"raw_affiliation_string":"Department of Computer Engineering, Santa Clara University, California, USA","institution_ids":["https://openalex.org/I16269868"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5013533432"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.4325,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58802073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9983999729156494,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6323599815368652},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5951237678527832},{"id":"https://openalex.org/keywords/octree","display_name":"Octree","score":0.5485348701477051},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5366344451904297},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4840347170829773},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4642772078514099},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4523582458496094},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.35723307728767395},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.324772447347641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2568676471710205},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06922489404678345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6323599815368652},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5951237678527832},{"id":"https://openalex.org/C141297171","wikidata":"https://www.wikidata.org/wiki/Q1143237","display_name":"Octree","level":2,"score":0.5485348701477051},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5366344451904297},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4840347170829773},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4642772078514099},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4523582458496094},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35723307728767395},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.324772447347641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2568676471710205},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06922489404678345},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip59821.2023.10402785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip59821.2023.10402785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321572","display_name":"Beijing Municipal Commission of Education","ror":"https://ror.org/04bpn6s66"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2105581333","https://openalex.org/W2140199336","https://openalex.org/W2150066425","https://openalex.org/W2167724667","https://openalex.org/W2319503556","https://openalex.org/W2560722161","https://openalex.org/W2747329762","https://openalex.org/W2905544027","https://openalex.org/W2944516423","https://openalex.org/W2963121255","https://openalex.org/W2982170926","https://openalex.org/W3035428054","https://openalex.org/W3099936357","https://openalex.org/W3110286842","https://openalex.org/W3171223006","https://openalex.org/W3175145712","https://openalex.org/W3179630053","https://openalex.org/W3216057396","https://openalex.org/W4221156617","https://openalex.org/W4225144468","https://openalex.org/W4242177601","https://openalex.org/W4312633943","https://openalex.org/W6739778489","https://openalex.org/W6747701344","https://openalex.org/W6762734943","https://openalex.org/W6763422710","https://openalex.org/W6785392533","https://openalex.org/W6805042473","https://openalex.org/W6966903322"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W4200108838","https://openalex.org/W2392034603","https://openalex.org/W2352029666"],"abstract_inverted_index":{"It\u2019s":[0],"difficult":[1],"to":[2,11,29,35,95,110,116,136,157],"effectively":[3,120],"remove":[4],"redundancy":[5],"in":[6,92,146,173],"Li-DAR":[7],"point":[8,40,71],"clouds":[9],"due":[10],"their":[12,117],"extremely":[13],"sparse":[14],"and":[15,24,79,198],"nonuniform":[16],"distribution.":[17],"Taking":[18],"advantage":[19],"of":[20,69,84,100,128,176],"both":[21,75],"octree-based":[22],"methods":[23],"voxel-based":[25],"schemes,":[26],"we":[27,51,87,151],"propose":[28,109],"design":[30,88,152],"an":[31,93,178],"effective":[32],"temporal-spatial":[33,55],"context":[34,57,123,141],"compress":[36],"the":[37,59,67,76,97,113,122,131,138,143,147,159,170,174,200,205],"sequence":[38],"octree-structured":[39],"cloud":[41,72],"data":[42,73],"into":[43,105,162],"a":[44,54,89,106,153],"more":[45],"compact":[46],"bitstream.":[47,107],"In":[48,82,126],"this":[49],"paper,":[50],"first":[52],"build":[53],"multiscale":[56],"for":[58,169],"deep":[60],"learning":[61],"entropy":[62],"model.":[63],"It":[64],"further":[65,111],"utilize":[66],"correlation":[68],"sequential":[70],"from":[74],"spatial":[77,85],"domain":[78],"temporal":[80,129,148],"domain.":[81,149],"terms":[83,127],"context,":[86,130],"hierarchical":[90],"dependency":[91,145],"octree":[94,103],"encode":[96],"occupancy":[98],"information":[99],"each":[101],"non-leaf":[102],"node":[104],"We":[108],"group":[112],"nodes":[114],"according":[115],"octant":[118],"which":[119,166],"expands":[121],"receptive":[124],"field.":[125],"KNN":[132],"algorithm":[133],"is":[134],"applied":[135],"explore":[137],"most":[139,192],"relative":[140],"with":[142,190],"strongest":[144],"Finally,":[150],"voxel":[154],"re-localization":[155],"network":[156],"convert":[158],"discrete":[160],"voxels":[161],"refined":[163],"3D":[164],"points,":[165],"makes":[167],"up":[168],"coordinate":[171],"loss":[172],"process":[175],"generating":[177],"octree.":[179],"The":[180],"quantitative":[181],"evaluation":[182],"shows":[183],"that":[184],"our":[185],"method":[186],"outperforms":[187],"state-of-the-art":[188],"baselines":[189],"saving":[191],"bitrate":[193],"on":[194],"KITTI":[195],"Odometry":[196],"dataset,":[197],"achieving":[199],"best":[201],"reconstreuction":[202],"benefit":[203],"by":[204],"designed":[206],"refinement":[207],"module.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
