{"id":"https://openalex.org/W4400036054","doi":"https://doi.org/10.1109/pcs60826.2024.10566441","title":"Scalable Human-Machine Point Cloud Compression","display_name":"Scalable Human-Machine Point Cloud Compression","publication_year":2024,"publication_date":"2024-06-12","ids":{"openalex":"https://openalex.org/W4400036054","doi":"https://doi.org/10.1109/pcs60826.2024.10566441"},"language":"en","primary_location":{"id":"doi:10.1109/pcs60826.2024.10566441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs60826.2024.10566441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Picture Coding Symposium (PCS)","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/A5016388046","display_name":"Mateen Ulhaq","orcid":"https://orcid.org/0009-0002-1352-9969"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mateen Ulhaq","raw_affiliation_strings":["School of Engineering Science, Simon Fraser University,Burnaby,BC,Canada","School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering Science, Simon Fraser University,Burnaby,BC,Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012187461","display_name":"Ivan V. Baji\u0107","orcid":"https://orcid.org/0000-0003-3154-5743"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ivan V. Baji\u0107","raw_affiliation_strings":["School of Engineering Science, Simon Fraser University,Burnaby,BC,Canada","School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering Science, Simon Fraser University,Burnaby,BC,Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":1.7864,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8600295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"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/T10763","display_name":"Digital Transformation in Industry","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T10763","display_name":"Digital Transformation in Industry","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/computer-science","display_name":"Computer science","score":0.743582010269165},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6816626191139221},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5637401342391968},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5420703291893005},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.482827752828598},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.43505048751831055},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15998706221580505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1494048833847046},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.14203664660453796}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.743582010269165},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6816626191139221},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5637401342391968},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5420703291893005},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.482827752828598},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.43505048751831055},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15998706221580505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1494048833847046},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.14203664660453796},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pcs60826.2024.10566441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs60826.2024.10566441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Picture Coding Symposium (PCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1920022804","https://openalex.org/W2211722331","https://openalex.org/W2322951925","https://openalex.org/W2556802233","https://openalex.org/W2785562966","https://openalex.org/W2922745530","https://openalex.org/W2944516423","https://openalex.org/W2964098744","https://openalex.org/W3035205678","https://openalex.org/W3082548248","https://openalex.org/W3089371114","https://openalex.org/W3097448661","https://openalex.org/W3098518823","https://openalex.org/W3160673571","https://openalex.org/W3160882100","https://openalex.org/W3186910762","https://openalex.org/W4221156617","https://openalex.org/W4297330754","https://openalex.org/W4312654212","https://openalex.org/W4313855337","https://openalex.org/W4386598445","https://openalex.org/W4389474387","https://openalex.org/W6739778489","https://openalex.org/W6762734943","https://openalex.org/W6763422710","https://openalex.org/W6794937971"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2612632602","https://openalex.org/W2321805087"],"abstract_inverted_index":{"Due":[0],"to":[1,19,38],"the":[2,27,45,76,90,94,98,127],"limited":[3],"computational":[4],"capabilities":[5],"of":[6,79],"edge":[7],"devices,":[8],"deep":[9],"learning":[10],"inference":[11,53],"can":[12,35,48],"be":[13,36,49,106],"quite":[14],"expensive.":[15],"One":[16],"remedy":[17],"is":[18,73],"compress":[20],"and":[21,101,122],"transmit":[22],"point":[23],"cloud":[24],"data":[25,71],"over":[26,134],"network":[28,39],"for":[29,69,75,86,108,113],"server-side":[30],"processing.":[31],"Unfortunately,":[32],"this":[33,62],"approach":[34],"sensitive":[37],"factors,":[40],"including":[41],"available":[42],"bitrate.":[43],"Luckily,":[44],"bitrate":[46],"requirements":[47],"reduced":[50],"without":[51],"sacrificing":[52],"accuracy":[54],"by":[55],"using":[56],"a":[57,66,84],"machine":[58,77,99],"task-specialized":[59],"codec.":[60],"In":[61,89],"paper,":[63],"we":[64],"present":[65],"scalable":[67,92],"codec":[68],"point-cloud":[70],"that":[72],"specialized":[74],"task":[78],"classification,":[80],"while":[81],"also":[82],"providing":[83],"mechanism":[85],"human":[87,114],"viewing.":[88,115],"proposed":[91],"codec,":[93],"\u201cbase\u201d":[95],"bitstream":[96,104],"supports":[97],"task,":[100],"an":[102],"\u201cenhancement\u201d":[103],"may":[105],"used":[107],"better":[109],"input":[110],"reconstruction":[111],"performance":[112],"We":[116,130],"base":[117],"our":[118],"architecture":[119],"on":[120,126],"PointNet++,":[121],"test":[123],"its":[124],"efficacy":[125],"ModelNet40":[128],"dataset.":[129],"show":[131],"significant":[132],"improvements":[133],"prior":[135],"non-specialized":[136],"codecs.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}