{"id":"https://openalex.org/W4308097382","doi":"https://doi.org/10.1109/euvip53989.2022.9922894","title":"Formal Visual Evaluation and Study of Objective Metrics for MPEG Dynamic Mesh Coding","display_name":"Formal Visual Evaluation and Study of Objective Metrics for MPEG Dynamic Mesh Coding","publication_year":2022,"publication_date":"2022-09-11","ids":{"openalex":"https://openalex.org/W4308097382","doi":"https://doi.org/10.1109/euvip53989.2022.9922894"},"language":"en","primary_location":{"id":"doi:10.1109/euvip53989.2022.9922894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip53989.2022.9922894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 10th European Workshop on Visual Information Processing (EUVIP)","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/A5020321560","display_name":"M Wien","orcid":"https://orcid.org/0000-0002-8724-2752"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Mathias Wien","raw_affiliation_strings":["RWTH Aachen University,Aachen,Germany","RWTH Aachen University, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"RWTH Aachen University,Aachen,Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037403050","display_name":"Jo\u00ebl Jung","orcid":"https://orcid.org/0000-0002-3878-6454"},"institutions":[{"id":"https://openalex.org/I4210166768","display_name":"H\u00f4pital Tenon","ror":"https://ror.org/05h5v3c50","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210166768"]},{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Joel Jung","raw_affiliation_strings":["Tencent Media Lab,Paris,France","Tencent Media Lab, Paris, France"],"affiliations":[{"raw_affiliation_string":"Tencent Media Lab,Paris,France","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tencent Media Lab, Paris, France","institution_ids":["https://openalex.org/I4210166768","https://openalex.org/I39804081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029087675","display_name":"Vittorio Baroncini","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158559","display_name":"Eurotech (Italy)","ror":"https://ror.org/04hhk2180","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210158559"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vittorio Baroncini","raw_affiliation_strings":["GBTech,Rome,Italy","GBTech, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"GBTech,Rome,Italy","institution_ids":["https://openalex.org/I4210158559"]},{"raw_affiliation_string":"GBTech, Rome, Italy","institution_ids":["https://openalex.org/I4210158559"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020321560"],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":0.744,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69046014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.996999979019165,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9969000220298767,"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":0.7730772495269775},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6552573442459106},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6257302761077881},{"id":"https://openalex.org/keywords/mpeg-4","display_name":"MPEG-4","score":0.513713002204895},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4211086630821228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41841214895248413},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3638460040092468},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3298376202583313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17091816663742065},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10753253102302551}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7730772495269775},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6552573442459106},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6257302761077881},{"id":"https://openalex.org/C97501218","wikidata":"https://www.wikidata.org/wiki/Q219763","display_name":"MPEG-4","level":3,"score":0.513713002204895},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4211086630821228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41841214895248413},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3638460040092468},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3298376202583313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17091816663742065},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10753253102302551}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/euvip53989.2022.9922894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip53989.2022.9922894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 10th European Workshop on Visual Information Processing (EUVIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W3015751022","https://openalex.org/W3032119513","https://openalex.org/W3035130434","https://openalex.org/W3114811247"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W243893405","https://openalex.org/W2358898662","https://openalex.org/W2107716822","https://openalex.org/W2515366312"],"abstract_inverted_index":{"This":[0,71,87],"paper":[1],"presents":[2],"and":[3,83,143],"analyzes":[4],"the":[5,10,33,53,62,67,100,116,119,128,135,138,162],"visual":[6,57],"assessment":[7],"process":[8,38],"of":[9,26,39,80,94,99,118],"MPEG":[11],"Call":[12],"for":[13,16,23],"Proposals":[14],"(CfP)":[15],"Dynamic":[17],"Mesh":[18],"Coding.":[19],"The":[20,55,103,132,158],"subjective":[21],"evaluation":[22,58],"this":[24,177],"type":[25],"data":[27],"requires":[28],"an":[29],"adapted":[30],"evaluation.":[31],"In":[32],"CfP,":[34],"a":[35,74,77,91,167],"common":[36],"rendering":[37],"video":[40,64,130,164],"sequences":[41,65,165],"is":[42,59,88],"applied":[43],"according":[44],"to":[45,52,111,151],"camera":[46],"paths":[47],"which":[48],"are":[49,106,149],"not":[50],"revealed":[51],"proponents.":[54],"formal":[56],"performed":[60],"on":[61,161],"rendered":[63,129,163],"following":[66],"well-established":[68],"DCR/DSIS":[69],"protocol.":[70],"approach":[72],"asserts":[73],"transparent":[75],"process,":[76],"fair":[78],"treatment":[79],"all":[81],"proposals,":[82],"reproducible":[84],"MOS":[85,104],"results.":[86],"demonstrated":[89],"by":[90],"narrow":[92],"range":[93],"confidence":[95],"intervals":[96],"(maximum":[97],"0.59)":[98],"resulting":[101],"MOS.":[102,144],"results":[105,133],"further":[107],"analyzed":[108],"with":[109,171],"respect":[110],"objective":[112,124,141],"metrics":[113,125,142,159],"used":[114],"in":[115,137,176],"context":[117],"CfP":[120],"as":[121,123],"well":[122],"computed":[126,160],"from":[127],"sequences.":[131],"underline":[134],"challenges":[136],"relation":[139],"between":[140],"Metrics":[145],"including":[146],"texture":[147],"information":[148],"shown":[150],"perform":[152],"better":[153],"than":[154],"purely":[155],"geometry-based":[156],"approaches.":[157],"show":[166],"generally":[168],"higher":[169],"correlation":[170],"MOS,":[172],"VMAF":[173],"performing":[174],"best":[175],"category.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
