{"id":"https://openalex.org/W4391307048","doi":"https://doi.org/10.1109/vcip59821.2023.10402678","title":"An efficient video-based geometry compression system for 3D meshes","display_name":"An efficient video-based geometry compression system for 3D meshes","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4391307048","doi":"https://doi.org/10.1109/vcip59821.2023.10402678"},"language":"en","primary_location":{"id":"doi:10.1109/vcip59821.2023.10402678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip59821.2023.10402678","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/A5050043309","display_name":"Wenjie Zou","orcid":"https://orcid.org/0000-0002-6602-8001"},"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":true,"raw_author_name":"Wenjie Zou","raw_affiliation_strings":["Xidian University,School of Telecommunications Engineering,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Telecommunications Engineering,Xi’an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102610357","display_name":"Haidi Huang","orcid":null},"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":"Haidi Huang","raw_affiliation_strings":["Xidian University,School of Telecommunications Engineering,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Telecommunications Engineering,Xi’an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081885593","display_name":"Anthony Trioux","orcid":"https://orcid.org/0000-0003-3457-3301"},"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":"Anthony Trioux","raw_affiliation_strings":["Xidian University,School of Telecommunications Engineering,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Telecommunications Engineering,Xi’an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","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’an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,School of Telecommunications Engineering,Xi’an,China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5050043309"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.985,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.85483125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9957000017166138,"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"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9957000017166138,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9902999997138977,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9695000052452087,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.8735123872756958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7301446199417114},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5557342767715454},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4802713394165039},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4713786542415619},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3326367735862732},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07666689157485962}],"concepts":[{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.8735123872756958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7301446199417114},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5557342767715454},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4802713394165039},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4713786542415619},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3326367735862732},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07666689157485962},{"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/vcip59821.2023.10402678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip59821.2023.10402678","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":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1972755925","https://openalex.org/W1973675305","https://openalex.org/W2084086197","https://openalex.org/W2235901111","https://openalex.org/W2995126997","https://openalex.org/W3014200484","https://openalex.org/W3113723002","https://openalex.org/W3138152222","https://openalex.org/W3141742114","https://openalex.org/W3152708635","https://openalex.org/W4225113261","https://openalex.org/W4296790969","https://openalex.org/W4308097578","https://openalex.org/W4308097790","https://openalex.org/W4308097926","https://openalex.org/W4310007321","https://openalex.org/W4317555304","https://openalex.org/W4318261627"],"related_works":["https://openalex.org/W1557607869","https://openalex.org/W2366350639","https://openalex.org/W2028455732","https://openalex.org/W4313703117","https://openalex.org/W2087496541","https://openalex.org/W2108615321","https://openalex.org/W1984758362","https://openalex.org/W1967080779","https://openalex.org/W2612632602","https://openalex.org/W2321805087"],"abstract_inverted_index":{"The":[0,121],"ISO/IEC":[1],"JTC1":[2],"SC29":[3],"subtechnical":[4],"committee":[5],"including":[6],"the":[7,43,79,94,132,150,156,162,178,192,211],"Moving":[8],"Picture":[9],"Experts":[10],"Group":[11],"(MPEG)":[12],"is":[13,54,146,195],"currently":[14],"working":[15],"on":[16,30,155],"a":[17,74,87,104,125,172],"Video-based":[18,97],"Dynamic":[19],"Mesh":[20],"Coding":[21,98],"(V-DMC)":[22],"standard":[23,99],"to":[24,39,77,106,130],"enable":[25],"next-generation":[26],"video":[27,47,67,119,133,169],"applications.":[28],"Relying":[29],"conventional":[31,167],"2D":[32,118,168],"video-based":[33,75],"solutions":[34],"for":[35,176,191,210],"such":[36,52],"content":[37],"allows":[38,129],"take":[40],"advantage":[41],"of":[42,45,82,181,189,202,207],"maturity":[44],"current":[46],"codecs.":[48],"However,":[49],"directly":[50],"re-use":[51],"codecs":[53],"inefficient":[55],"as":[56],"images":[57],"projected":[58],"from":[59,65],"sparse":[60,83],"3D":[61,84,182],"meshes":[62,85,108],"are":[63,214],"different":[64],"classical":[66],"content.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72,102],"present":[73],"system":[76],"compress":[78],"geometry":[80,179],"information":[81,180],"in":[86],"highly":[88,147],"efficient":[89],"way.":[90],"Specifically,":[91,184],"inspired":[92],"by":[93,109,114,149],"Visual":[95],"Volumetric":[96],"(V3C)":[100],"standard,":[101],"propose":[103],"method":[105,123],"encode":[107],"using":[110],"orthogonal":[111],"projections,":[112],"followed":[113],"atlas":[115],"packing":[116],"and":[117,141,197,204],"coding.":[120],"proposed":[122,163],"includes":[124],"quantization":[126],"step":[127],"that":[128,161],"improve":[131],"coding":[134,174],"efficiency":[135,175],"while":[136],"being":[137],"compatible":[138],"with":[139],"lossless":[140,193],"lossy":[142,212],"compression.":[143],"This":[144],"ability":[145],"encouraged":[148],"V-DMC":[151,157],"standard.":[152],"Experimental":[153],"results":[154],"test":[158],"sequences":[159],"demonstrate":[160],"method,":[164],"leveraging":[165],"well-known":[166],"codec,":[170],"obtains":[171],"high":[173],"compressing":[177],"meshes.":[183],"an":[185,198],"average":[186,199],"bitrate":[187,200],"saving":[188,201],"64.58%":[190],"case":[194,213],"observed,":[196],"58.82%":[203],"BD-rate":[205],"gain":[206],"about":[208],"-58%":[209],"obtained,":[215],"respectively.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}