{"id":"https://openalex.org/W6964014848","doi":"https://doi.org/10.2312/eggh/eggh05/053-062","title":"Hardware-Compatible Vertex Compression Using Quantization and Simplification","display_name":"Hardware-Compatible Vertex Compression Using Quantization and Simplification","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W6964014848","doi":"https://doi.org/10.2312/eggh/eggh05/053-062"},"language":"en","primary_location":{"id":"doi:10.2312/eggh/eggh05/053-062","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eggh/eggh05/053-062","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/eggh/eggh05/053-062","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Purnomo, Budirijanto","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Purnomo, Budirijanto","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Bilodeau, Jonathan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bilodeau, Jonathan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Cohen, Jonathan D.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cohen, Jonathan D.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Kumar, Subodh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kumar, Subodh","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.7258999943733215},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5016999840736389},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.47850000858306885},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4562999904155731},{"id":"https://openalex.org/keywords/graphics-hardware","display_name":"Graphics hardware","score":0.44600000977516174},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.38909998536109924}],"concepts":[{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.7258999943733215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5964999794960022},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5016999840736389},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48100000619888306},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.47850000858306885},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4562999904155731},{"id":"https://openalex.org/C18945957","wikidata":"https://www.wikidata.org/wiki/Q5597193","display_name":"Graphics hardware","level":3,"score":0.44600000977516174},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.38909998536109924},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.36059999465942383},{"id":"https://openalex.org/C173642442","wikidata":"https://www.wikidata.org/wiki/Q1253346","display_name":"Decimation","level":3,"score":0.3596000075340271},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.3571999967098236},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.32190001010894775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30889999866485596},{"id":"https://openalex.org/C116921373","wikidata":"https://www.wikidata.org/wiki/Q2816483","display_name":"Real-time rendering","level":3,"score":0.298799991607666},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2985000014305115}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/eggh/eggh05/053-062","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eggh/eggh05/053-062","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.2312/eggh/eggh05/053-062","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eggh/eggh05/053-062","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,63,81],"present":[1,82],"a":[2,14,76,100,143,166,178],"vertex":[3,26,60,88,144,182],"compression":[4],"technique":[5],"suitable":[6],"for":[7,28,42,99,187],"efficient":[8],"decompression":[9],"on":[10],"graphics":[11,46,160,195],"hardware.":[12],"Given":[13],"user-specified":[15,101],"number":[16,112,117],"of":[17,45,113,118,158,181,193],"bits":[18,24,119],"per":[19,120],"vertex,":[20],"we":[21],"automatically":[22],"allocate":[23],"to":[25,30,93,126,165,175],"attributes":[27,52],"quantization":[29,92],"maximize":[31],"quality,":[32],"guided":[33],"by":[34,48],"an":[35,83,107],"image-space":[36],"error":[37],"metric.":[38],"This":[39],"allocation":[40],"accounts":[41],"the":[43,50,57,73,95,111,116,134,156],"constraints":[44,157,170,192],"hardware":[47,161],"packing":[49],"quantized":[51],"into":[53],"bins":[54],"associated":[55],"with":[56,177],"hardware's":[58],"vectorized":[59],"data":[61,102,123],"elements.":[62],"show":[64],"that":[65,85],"this":[66],"general":[67],"approach":[68],"is":[69,124],"also":[70,163],"applicable":[71],"if":[72],"user":[74],"specifies":[75],"total":[77],"desired":[78],"model":[79,98],"size.":[80,103],"algorithm":[84],"integrally":[86],"combines":[87],"decimation":[89],"and":[90,115,127,190],"attribute":[91],"produce":[94],"best":[96],"quality":[97],"Such":[104],"models":[105,176],"have":[106],"appropriate":[108],"balance":[109],"between":[110],"vertices":[114,138],"vertex.":[121],"Vertex":[122],"transmitted":[125],"optionally":[128],"stored":[129],"in":[130,133],"video":[131],"memory":[132],"compressed":[135],"form.":[136],"The":[137],"are":[139,171],"decompressed":[140],"on-the-fly":[141],"using":[142],"program":[145],"at":[146],"rendering":[147],"time.":[148],"Our":[149],"algorithms":[150],"not":[151],"only":[152],"work":[153],"well":[154],"within":[155],"current":[159],"but":[162],"generalize":[164],"setting":[167],"where":[168],"these":[169],"relaxed.":[172],"They":[173],"apply":[174],"wide":[179],"variety":[180],"attributes,":[183],"providing":[184],"new":[185],"tools":[186],"optimizing":[188],"space":[189],"bandwidth":[191],"interactive":[194],"applications.":[196]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
