{"id":"https://openalex.org/W4317555475","doi":"https://doi.org/10.1109/pcs56426.2022.10018065","title":"Attribute-aware Partitioning for Graph-based Point Cloud Attribute Coding","display_name":"Attribute-aware Partitioning for Graph-based Point Cloud Attribute Coding","publication_year":2022,"publication_date":"2022-12-07","ids":{"openalex":"https://openalex.org/W4317555475","doi":"https://doi.org/10.1109/pcs56426.2022.10018065"},"language":"en","primary_location":{"id":"doi:10.1109/pcs56426.2022.10018065","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/pcs56426.2022.10018065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5027097235","display_name":"Thibaut Meyer","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thibaut Meyer","raw_affiliation_strings":["Institut für Nachrichtentechnik, RWTH Aachen University,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut für Nachrichtentechnik, RWTH Aachen University,Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077530655","display_name":"Maria Laura Brzezinski Meyer","orcid":"https://orcid.org/0000-0003-1748-768X"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maria Meyer","raw_affiliation_strings":["Institut für Nachrichtentechnik, RWTH Aachen University,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut für Nachrichtentechnik, RWTH Aachen University,Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013023930","display_name":"Dominik Mehlem","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dominik Mehlem","raw_affiliation_strings":["Institut für Nachrichtentechnik, RWTH Aachen University,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut für Nachrichtentechnik, RWTH Aachen University,Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018820700","display_name":"Christian Rohlfing","orcid":"https://orcid.org/0000-0002-0372-056X"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Rohlfing","raw_affiliation_strings":["Institut für Nachrichtentechnik, RWTH Aachen University,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut für Nachrichtentechnik, RWTH Aachen University,Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":0.166,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45917192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"121","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9976000189781189,"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":0.995199978351593,"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":0.7669664025306702},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7240546941757202},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6910889148712158},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.6349432468414307},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6328691244125366},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.546855628490448},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5443607568740845},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5428845882415771},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5141928195953369},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49939918518066406},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4405190944671631},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3591533899307251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18875661492347717},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11829432845115662}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7669664025306702},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7240546941757202},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6910889148712158},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.6349432468414307},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6328691244125366},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.546855628490448},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5443607568740845},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5428845882415771},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5141928195953369},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49939918518066406},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4405190944671631},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3591533899307251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18875661492347717},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11829432845115662},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pcs56426.2022.10018065","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/pcs56426.2022.10018065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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":15,"referenced_works":["https://openalex.org/W1986678681","https://openalex.org/W2101700394","https://openalex.org/W2142838865","https://openalex.org/W2157700496","https://openalex.org/W2415653907","https://openalex.org/W2568618480","https://openalex.org/W2802643051","https://openalex.org/W2890451688","https://openalex.org/W2970849590","https://openalex.org/W2997327074","https://openalex.org/W3048526884","https://openalex.org/W3091766805","https://openalex.org/W3170603795","https://openalex.org/W3195590273","https://openalex.org/W4224034487"],"related_works":["https://openalex.org/W4283699800","https://openalex.org/W4308238081","https://openalex.org/W2610218895","https://openalex.org/W1983265049","https://openalex.org/W2001953482","https://openalex.org/W2117186348","https://openalex.org/W1950712214","https://openalex.org/W2173159535","https://openalex.org/W1660648915","https://openalex.org/W2151453963"],"abstract_inverted_index":{"The":[0],"unstructured":[1],"nature":[2],"of":[3,9,20,28,48,66],"point":[4,30,50],"cloud":[5,31],"data":[6],"makes":[7],"compression":[8],"their":[10],"attributes":[11],"very":[12],"challenging.":[13],"In":[14],"this":[15],"paper,":[16],"the":[17,22,29,39,49,60,64,67,72,80,84,87,96],"known":[18],"approach":[19],"using":[21],"Graph":[23],"Fourier":[24],"Transform":[25],"on":[26],"partitions":[27],"is":[32,35,69,91,99],"improved.":[33],"It":[34],"proposed":[36],"to":[37,62,71],"make":[38],"partitioning":[40,65,81],"process":[41],"both":[42],"geometry":[43],"and":[44],"attribute-aware,":[45],"taking":[46],"all":[47],"cloud\u2019s":[51],"characteristics":[52],"into":[53],"account":[54],"simultaneously.":[55],"Additional":[56],"information,":[57],"that":[58,95],"allows":[59],"decoder":[61,88],"reproduce":[63],"encoder,":[68],"added":[70],"bitstream.":[73],"Furthermore,":[74],"a":[75],"refinement":[76],"algorithm":[77],"which":[78],"re-estimates":[79],"information":[82],"at":[83,113],"encoder":[85],"with":[86],"in":[89,101],"mind":[90],"proposed.":[92],"Experiments":[93],"show":[94],"baseline":[97],"method":[98],"outperformed":[100],"Bj\u00f8ntegaard":[102],"Delta":[103],"rate":[104],"reduction":[105],"by":[106],"2.39%,":[107],"reaching":[108],"as":[109,111],"much":[110],"3.58%":[112],"high":[114],"bitrates.":[115]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}