{"id":"https://openalex.org/W4308235626","doi":"https://doi.org/10.1109/icip46576.2022.9897716","title":"Cross-Type Attribute Prediction For Point Cloud Compression","display_name":"Cross-Type Attribute Prediction For Point Cloud Compression","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308235626","doi":"https://doi.org/10.1109/icip46576.2022.9897716"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897716","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5100362228","display_name":"Tian Chen","orcid":"https://orcid.org/0000-0001-5423-2059"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Chen","raw_affiliation_strings":["Xidian University,School of Telecommunications Engineering,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,School of Telecommunications Engineering,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041968797","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-7291-8193"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Xidian University,School of Telecommunications Engineering,Xi&#x2019;an,China","Artificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,School of Telecommunications Engineering,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Artificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055433813","display_name":"Fuzheng Yang","orcid":"https://orcid.org/0000-0002-8369-8015"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuzheng Yang","raw_affiliation_strings":["Xidian University,School of Telecommunications Engineering,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,School of Telecommunications Engineering,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378414","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0002-0051-2829"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":["Peng Cheng Laboratory,Artificial Intelligence Research Center,Shenzhen,China","Artificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory,Artificial Intelligence Research Center,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Artificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100447691","display_name":"Ge Li","orcid":"https://orcid.org/0000-0003-0140-0949"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Li","raw_affiliation_strings":["Peng Cheng Laboratory,Artificial Intelligence Research Center,Shenzhen,China","Artificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory,Artificial Intelligence Research Center,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Artificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2339399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2956","last_page":"2960"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9995999932289124,"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9962000250816345,"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":0.9955999851226807,"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/point-cloud","display_name":"Point cloud","score":0.8453669548034668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7424043416976929},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5965926647186279},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5716760158538818},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5624295473098755},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5030199885368347},{"id":"https://openalex.org/keywords/data-type","display_name":"Data type","score":0.468614399433136},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4656914472579956},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.45239418745040894},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4399886727333069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43306925892829895},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38365912437438965},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37157636880874634},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15142828226089478},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0642785131931305}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8453669548034668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7424043416976929},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5965926647186279},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5716760158538818},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5624295473098755},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5030199885368347},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.468614399433136},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4656914472579956},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.45239418745040894},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4399886727333069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43306925892829895},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38365912437438965},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37157636880874634},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15142828226089478},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0642785131931305},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897716","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1498318113","https://openalex.org/W1986678681","https://openalex.org/W2063660172","https://openalex.org/W2415653907","https://openalex.org/W2765276707","https://openalex.org/W2800769537","https://openalex.org/W2905544027","https://openalex.org/W2968591670","https://openalex.org/W2970849590","https://openalex.org/W3014200484","https://openalex.org/W6794350639"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W2612632602","https://openalex.org/W2321805087"],"abstract_inverted_index":{"Point":[0],"cloud":[1,70,113,119],"is":[2,53,100,106,131],"an":[3],"informative":[4],"type":[5],"of":[6,25,36,47,77,93,110],"media":[7],"to":[8,31,62,133],"represent":[9],"objects":[10,37],"and":[11,38],"scenes.":[12,39],"Along":[13],"with":[14,42,116,139],"the":[15,20,33,43,64,72,88,125,136],"geometry":[16],"information":[17,27,65],"that":[18,124],"records":[19],"3D":[21],"shapes,":[22],"multiple":[23],"types":[24,76,92],"attribute":[26,78,97,128],"can":[28],"be":[29],"included":[30],"characterize":[32],"visual":[34],"appearance":[35],"To":[40],"deal":[41],"massive":[44],"data":[45],"volume":[46],"point":[48,69,112,118],"clouds,":[49],"developing":[50],"compression":[51,114],"algorithms":[52],"necessary.":[54],"While":[55],"various":[56,117],"prediction":[57,98,129],"techniques":[58],"have":[59],"been":[60],"proposed":[61,104,126],"reduce":[63],"redundancy":[66],"for":[67],"individual":[68],"attribute,":[71],"correlation":[73,89],"between":[74,90],"different":[75,91,111],"is,":[79],"however,":[80],"not":[81],"fully":[82],"investigated.":[83],"This":[84],"paper":[85],"first":[86],"studies":[87],"attribute.":[94],"A":[95],"cross-type":[96,127],"method":[99,105,130],"then":[101],"proposed.":[102],"The":[103],"evaluated":[107],"on":[108],"top":[109],"frameworks":[115],"sequences.":[120],"Experimental":[121],"results":[122],"show":[123],"able":[132],"significantly":[134],"improve":[135],"coding":[137,141],"efficiency":[138],"marginal":[140],"complexity.":[142]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
