{"id":"https://openalex.org/W4293518258","doi":"https://doi.org/10.1109/icme52920.2022.9859998","title":"Fine-Grained Correlation Representation for Graph-Based Point Cloud Attribute Compression","display_name":"Fine-Grained Correlation Representation for Graph-Based Point Cloud Attribute Compression","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4293518258","doi":"https://doi.org/10.1109/icme52920.2022.9859998"},"language":"en","primary_location":{"id":"doi:10.1109/icme52920.2022.9859998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859998","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","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 Multimedia and Expo (ICME)","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/A5101633968","display_name":"Fei Song","orcid":"https://orcid.org/0000-0002-8825-6494"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Song","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University,Shenzhen,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447691","display_name":"Ge Li","orcid":"https://orcid.org/0000-0003-0140-0949"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Li","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University,Shenzhen,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755418","display_name":"Xiaodong Yang","orcid":"https://orcid.org/0000-0002-4701-1204"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Yang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University,Shenzhen,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050309466","display_name":"Wei Gao","orcid":"https://orcid.org/0000-0001-7429-5495"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Gao","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University,Shenzhen,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103873055","display_name":"Thomas H. Li","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Thomas H Li","raw_affiliation_strings":["AIIT, Peking University,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"AIIT, Peking University,Hangzhou,China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101633968"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":4.7362,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.9637883,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9878000020980835,"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":0.9733999967575073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.6395285129547119},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.597166121006012},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.509330153465271},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.47571808099746704},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4740692675113678},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45342114567756653},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42099544405937195},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4144958555698395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3750123977661133},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3653545379638672},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.339921772480011}],"concepts":[{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.6395285129547119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.597166121006012},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.509330153465271},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.47571808099746704},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4740692675113678},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45342114567756653},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42099544405937195},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4144958555698395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3750123977661133},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3653545379638672},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.339921772480011},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme52920.2022.9859998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859998","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","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 Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3740448160","display_name":null,"funder_award_id":"2019A1515012031","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G449472674","display_name":null,"funder_award_id":"62172021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1986678681","https://openalex.org/W2001002651","https://openalex.org/W2101491865","https://openalex.org/W2132914434","https://openalex.org/W2152864241","https://openalex.org/W2315567505","https://openalex.org/W2415653907","https://openalex.org/W2752062439","https://openalex.org/W2963712400","https://openalex.org/W2970849590","https://openalex.org/W3120710434","https://openalex.org/W3188483917","https://openalex.org/W4221119206","https://openalex.org/W4254197176","https://openalex.org/W6750223540"],"related_works":["https://openalex.org/W2381790954","https://openalex.org/W3173751961","https://openalex.org/W3203841313","https://openalex.org/W4316660472","https://openalex.org/W2217530659","https://openalex.org/W2116404931","https://openalex.org/W4313532234","https://openalex.org/W4308235687","https://openalex.org/W3199538345","https://openalex.org/W2379432963"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2],"witnessed":[3],"remarkable":[4],"success":[5],"of":[6,22,63,84,157],"Graph":[7],"Fourier":[8],"Transform":[9],"(GFT)":[10],"in":[11,61,77,120],"point":[12,73],"cloud":[13,74],"attribute":[14,38],"compression.":[15],"A":[16],"key":[17],"to":[18,25,48,105,115,146],"good":[19],"compression":[20,39,131],"performance":[21,132],"GFT":[23,43],"is":[24],"construct":[26],"the":[27,45,50,58,155],"graph":[28],"Laplacian":[29,51,89],"matrix":[30],"that":[31],"accurately":[32],"models":[33],"signal":[34],"correlation.":[35],"Nevertheless,":[36],"existing":[37],"methods":[40],"based":[41],"on":[42],"adopt":[44,141],"distance":[46],"metric":[47],"define":[49],"matrix,":[52],"which":[53],"does":[54],"not":[55],"well":[56],"represent":[57],"color":[59,75],"correlation":[60,86,118,152],"case":[62],"a":[64,107],"poor":[65],"relationship":[66],"between":[67],"geometry":[68],"and":[69],"color.":[70],"Hence,":[71],"considering":[72],"variation":[76],"space,":[78],"we":[79,98],"propose":[80],"additional":[81,138],"three":[82,151],"kinds":[83],"fine-grained":[85],"representation":[87,119],"as":[88,103],"matrices":[90],"for":[91,111],"patches":[92],"with":[93,134],"different":[94],"texture":[95,100],"categories.":[96],"Furthermore,":[97],"utilize":[99],"complexity":[101],"features":[102],"prior":[104],"design":[106],"stage-wise":[108,160],"decision":[109,161],"strategy":[110],"guiding":[112],"each":[113],"patch":[114],"choose":[116,147],"appropriate":[117],"low":[121],"computation":[122],"complexity.":[123],"Experimental":[124],"results":[125],"demonstrate":[126],"our":[127,158],"method":[128],"achieves":[129],"better":[130],"compared":[133],"other":[135],"platforms.":[136],"Meanwhile,":[137],"experiments":[139],"also":[140],"Lagrangian":[142],"Rate-Distortion":[143],"Optimization":[144],"(RDO)":[145],"optimal":[148],"one":[149],"from":[150],"representations,":[153],"verifying":[154],"effectiveness":[156],"proposed":[159],"strategy.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2025-10-10T00:00:00"}