{"id":"https://openalex.org/W2286337582","doi":"https://doi.org/10.2312/pgs.20141265","title":"Parallel BTF Compression with Multi-Level Vector Quantization in OpenCL","display_name":"Parallel BTF Compression with Multi-Level Vector Quantization in OpenCL","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2286337582","doi":"https://doi.org/10.2312/pgs.20141265","mag":"2286337582"},"language":"en","primary_location":{"id":"doi:10.2312/pgs.20141265","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pgs.20141265","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/pgs.20141265","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024188451","display_name":"Petr Egert","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Egert, Petr","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5088494403","display_name":"Vlastimil Havran","orcid":"https://orcid.org/0000-0002-3329-8814"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vlastimil, Havran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.942799985408783,"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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.942799985408783,"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/computer-science","display_name":"Computer science","score":0.6175387501716614},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.6147888898849487},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5303131937980652},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4679528474807739},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3985099792480469},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.36827901005744934},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.32916635274887085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6175387501716614},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.6147888898849487},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5303131937980652},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4679528474807739},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3985099792480469},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.36827901005744934},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.32916635274887085},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/pgs.20141265","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pgs.20141265","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.2312/pgs.20141265","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pgs.20141265","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1978402822","https://openalex.org/W2134279074","https://openalex.org/W1990101764","https://openalex.org/W2051096109","https://openalex.org/W2080083696","https://openalex.org/W2293708134","https://openalex.org/W2147062382","https://openalex.org/W2156954627","https://openalex.org/W1495123920","https://openalex.org/W1973736961","https://openalex.org/W2075377730","https://openalex.org/W2009492417","https://openalex.org/W2106598426","https://openalex.org/W2073526657","https://openalex.org/W1997146690","https://openalex.org/W1979408689","https://openalex.org/W2096604943","https://openalex.org/W1981176562","https://openalex.org/W2111435979","https://openalex.org/W2170546347"],"abstract_inverted_index":{"Bidirectional":[0],"Texture":[1],"Function":[2],"(BTF)":[3],"as":[4],"an":[5],"effective":[6],"visual":[7,55],"fidelity":[8],"representation":[9],"of":[10,54,83,97],"surface":[11],"appearance":[12],"is":[13],"becoming":[14],"more":[15,17],"and":[16,117],"widely":[18],"used.":[19],"In":[20],"this":[21],"paper":[22],"we":[23,58],"report":[24],"on":[25,99,111,133],"contributions":[26],"to":[27],"BTF":[28,124],"data":[29],"compression":[30,42,65,93,107],"for":[31,61,104,129],"multi-level":[32],"vector":[33,85],"quantization.":[34],"We":[35,77],"describe":[36],"novel":[37],"decompositions":[38],"that":[39,80],"improve":[40],"the":[41,49,64,84,92,105],"ratio":[43,66],"by":[44,70,74,95],"15%":[45],"in":[46,72,88],"comparison":[47],"with":[48],"original":[50],"method,":[51],"without":[52],"loss":[53],"quality.":[56],"Further,":[57],"show":[59,79],"how":[60],"offline":[62],"storage":[63],"can":[67,90],"be":[68],"increased":[69],"33%":[71],"total":[73],"Huffman":[75],"coding.":[76],"also":[78],"efficient":[81],"parallelization":[82],"quantization":[86],"algorithm":[87,108],"OpenCL":[89],"reduce":[91],"time":[94,131],"factor":[96],"9":[98],"a":[100,134],"GPU.":[101,135],"The":[102],"results":[103],"new":[106],"are":[109],"shown":[110],"six":[112],"low":[113],"dynamic":[114,120],"range":[115,121],"BTFs":[116],"four":[118],"high":[119],"publicly":[122],"available":[123],"samples.":[125],"Our":[126],"method":[127],"allows":[128],"real":[130],"synthesis":[132]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}