{"id":"https://openalex.org/W2087396979","doi":"https://doi.org/10.1145/1027527.1027683","title":"Optimized mesh and texture multiplexing for progressive textured model transmission","display_name":"Optimized mesh and texture multiplexing for progressive textured model transmission","publication_year":2004,"publication_date":"2004-10-10","ids":{"openalex":"https://openalex.org/W2087396979","doi":"https://doi.org/10.1145/1027527.1027683","mag":"2087396979"},"language":"en","primary_location":{"id":"doi:10.1145/1027527.1027683","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1027527.1027683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th annual ACM international conference on Multimedia","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/A5102515414","display_name":"Sheng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheng Yang","raw_affiliation_strings":["University of Southern California, Los Angeles, California","University of Southern California, Los Angeles, California;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, California","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California, Los Angeles, California;","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021697157","display_name":"Chao-Hua Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao-Hua Lee","raw_affiliation_strings":["University of Southern California, Los Angeles, California","University of Southern California, Los Angeles, California;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, California","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California, Los Angeles, California;","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001082656","display_name":"C.\u2010C. Jay Kuo","orcid":"https://orcid.org/0000-0001-9474-5035"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C.-C. Jay Kuo","raw_affiliation_strings":["University of Southern California, Los Angeles, California","University of Southern California, Los Angeles, California;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, California","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California, Los Angeles, California;","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3958,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.88506677,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"676","last_page":"683"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991999864578247,"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":0.9979000091552734,"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":0.6525993347167969},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6410177946090698},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5324286818504333},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5261147618293762},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5155189037322998},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49125808477401733},{"id":"https://openalex.org/keywords/multiplexing","display_name":"Multiplexing","score":0.47910502552986145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46746090054512024},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4387328326702118},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.42203468084335327},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16690880060195923},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08119338750839233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6525993347167969},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6410177946090698},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5324286818504333},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5261147618293762},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5155189037322998},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49125808477401733},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.47910502552986145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46746090054512024},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4387328326702118},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.42203468084335327},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16690880060195923},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08119338750839233},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1027527.1027683","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1027527.1027683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th annual ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1397997","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/1397997/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In: Schulzrinne, H and Dimitrova, N and Sasse, MA and Moon, SB and Lienhart, R, (eds.)   (pp. pp. 676-683).  ACM (2004)     ","raw_type":"Proceedings paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1581676061","https://openalex.org/W1963715532","https://openalex.org/W2009256901","https://openalex.org/W2027947870","https://openalex.org/W2070887783","https://openalex.org/W2092583554","https://openalex.org/W2097246665","https://openalex.org/W2117872310","https://openalex.org/W2130770975","https://openalex.org/W2164802078","https://openalex.org/W2166819598","https://openalex.org/W2168078737","https://openalex.org/W2293404936","https://openalex.org/W4243358536"],"related_works":["https://openalex.org/W2890791469","https://openalex.org/W2473841733","https://openalex.org/W4251457771","https://openalex.org/W2078091825","https://openalex.org/W3008427980","https://openalex.org/W3023382193","https://openalex.org/W4321260179","https://openalex.org/W2508639893","https://openalex.org/W2018636102","https://openalex.org/W2389420861"],"abstract_inverted_index":{"An":[0],"optimized":[1],"scheme":[2],"of":[3,14,28,45,47,64,81,170],"multiplexing":[4,63],"coded":[5],"mesh":[6,24,65,101],"and":[7,25,40,66,102],"texture":[8,26,67,103],"data":[9,27,68,104],"to":[10],"facilitate":[11],"progressive":[12],"transmission":[13],"3D":[15,30,172],"textured":[16,31,173],"models":[17],"is":[18,74,92,117],"proposed":[19,162],"in":[20,69,108],"this":[21],"work.":[22],"The":[23,72],"a":[29,43,51,54,109,141,171],"model":[32,174],"are":[33,106],"fed":[34],"into":[35],"their":[36],"respective":[37],"compression":[38],"modules":[39],"represented":[41],"by":[42,76,94],"series":[44],"levels":[46],"details.":[48,71],"Then,":[49],"for":[50,175],"given":[52,131],"viewpoint,":[53,138],"rate-distortion":[55,90],"surface":[56,91],"can":[57,150,164],"be":[58,151],"generated":[59],"based":[60],"on":[61],"the":[62,78,89,95,100,113,120,124,130,147,161,166],"different":[70],"distortion":[73],"calculated":[75],"measuring":[77],"visual":[79,126,168],"quality":[80,127,169],"rendered":[82,121],"images.":[83],"Furthermore,":[84],"an":[85,136],"optimal":[86,114,148],"path":[87,149],"over":[88],"determined":[93],"steepest":[96],"descent":[97],"algorithm.":[98],"When":[99],"streams":[105],"transmitted":[107],"certain":[110],"ratio":[111],"along":[112],"path,":[115],"it":[116],"guaranteed":[118],"that":[119,146,160],"images":[122],"have":[123],"best":[125,167],"perceived":[128],"from":[129,153],"viewpoint.":[132],"To":[133],"deal":[134],"with":[135],"arbitrary":[137],"we":[139],"propose":[140],"hierarchical":[142],"sampling":[143,155],"algorithm":[144],"so":[145],"interpolated":[152],"finite":[154],"points.":[156],"Experimental":[157],"results":[158],"demonstrate":[159],"method":[163],"provide":[165],"any":[176,180],"observation":[177],"point":[178],"at":[179],"bit":[181],"rate.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
