{"id":"https://openalex.org/W3094289725","doi":"https://doi.org/10.1109/cog47356.2020.9231689","title":"A Computer Vision Inspired Automatic Acoustic Material Tagging System for Virtual Environments","display_name":"A Computer Vision Inspired Automatic Acoustic Material Tagging System for Virtual Environments","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3094289725","doi":"https://doi.org/10.1109/cog47356.2020.9231689","mag":"3094289725"},"language":"en","primary_location":{"id":"doi:10.1109/cog47356.2020.9231689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cog47356.2020.9231689","pdf_url":null,"source":{"id":"https://openalex.org/S4306498668","display_name":"2020 IEEE Conference on Games (CoG)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Games (CoG)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5052889036","display_name":"Mattia Colombo","orcid":"https://orcid.org/0000-0002-4169-2045"},"institutions":[{"id":"https://openalex.org/I12870472","display_name":"Birmingham City University","ror":"https://ror.org/00t67pt25","country_code":"GB","type":"education","lineage":["https://openalex.org/I12870472"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mattia Colombo","raw_affiliation_strings":["DMT Lab, Birmingham City University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DMT Lab, Birmingham City University, UK","institution_ids":["https://openalex.org/I12870472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032654360","display_name":"Alan Dolhasz","orcid":"https://orcid.org/0000-0002-6520-8094"},"institutions":[{"id":"https://openalex.org/I12870472","display_name":"Birmingham City University","ror":"https://ror.org/00t67pt25","country_code":"GB","type":"education","lineage":["https://openalex.org/I12870472"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alan Dolhasz","raw_affiliation_strings":["DMT Lab, Birmingham City University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DMT Lab, Birmingham City University, UK","institution_ids":["https://openalex.org/I12870472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032940957","display_name":"Carlo Harvey","orcid":"https://orcid.org/0000-0002-4809-1592"},"institutions":[{"id":"https://openalex.org/I12870472","display_name":"Birmingham City University","ror":"https://ror.org/00t67pt25","country_code":"GB","type":"education","lineage":["https://openalex.org/I12870472"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Carlo Harvey","raw_affiliation_strings":["DMT Lab, Birmingham City University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DMT Lab, Birmingham City University, UK","institution_ids":["https://openalex.org/I12870472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I12870472"],"apc_list":null,"apc_paid":null,"fwci":0.4914,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60307414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"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/T11309","display_name":"Music and Audio Processing","score":0.9980999827384949,"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/T11309","display_name":"Music and Audio Processing","score":0.9980999827384949,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.989799976348877,"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":0.7694082856178284},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5554766654968262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5067504048347473},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4557092785835266},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.37740689516067505}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7694082856178284},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5554766654968262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5067504048347473},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4557092785835266},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37740689516067505}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cog47356.2020.9231689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cog47356.2020.9231689","pdf_url":null,"source":{"id":"https://openalex.org/S4306498668","display_name":"2020 IEEE Conference on Games (CoG)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Games (CoG)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.open-access.bcu.ac.uk:9711","is_oa":false,"landing_page_url":"https://www.open-access.bcu.ac.uk/9711/1/CoG2020_short.pdf","pdf_url":"https://www.open-access.bcu.ac.uk/9711/1/CoG2020_short.pdf","source":{"id":"https://openalex.org/S4306402654","display_name":"BCU Open Access Repository (Birmingham City University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I12870472","host_organization_name":"Birmingham City University","host_organization_lineage":["https://openalex.org/I12870472"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1559975096","https://openalex.org/W1581848821","https://openalex.org/W1901129140","https://openalex.org/W1968316532","https://openalex.org/W2000454443","https://openalex.org/W2042049770","https://openalex.org/W2093632550","https://openalex.org/W2112261915","https://openalex.org/W2112996167","https://openalex.org/W2136329566","https://openalex.org/W2142984475","https://openalex.org/W2150243159","https://openalex.org/W2159604298","https://openalex.org/W2182630435","https://openalex.org/W2194775991","https://openalex.org/W2526041965","https://openalex.org/W2584917504","https://openalex.org/W2758599062","https://openalex.org/W2923206072","https://openalex.org/W2963351448","https://openalex.org/W2963826402","https://openalex.org/W2965451719","https://openalex.org/W2970850616","https://openalex.org/W3012071297","https://openalex.org/W4231225162","https://openalex.org/W4376543153","https://openalex.org/W6639824700","https://openalex.org/W6681370742","https://openalex.org/W6686177757","https://openalex.org/W6728008737","https://openalex.org/W6732609441","https://openalex.org/W6766101246"],"related_works":["https://openalex.org/W1891287906","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2755342338","https://openalex.org/W2021592657","https://openalex.org/W2229312674","https://openalex.org/W3116076068","https://openalex.org/W2058170566","https://openalex.org/W2166044122"],"abstract_inverted_index":{"This":[0,82],"paper":[1],"presents":[2],"the":[3,34,43,76],"ongoing":[4],"work":[5],"on":[6,30,55],"an":[7],"approach":[8,18],"to":[9,23,70],"material":[10,97],"information":[11,65],"retrieval":[12],"in":[13,33,58,75,95],"virtual":[14],"environments":[15],"(VEs).":[16],"Our":[17],"uses":[19],"convolutional":[20],"neural":[21],"networks":[22],"classify":[24],"materials":[25],"by":[26],"performing":[27],"semantic":[28,64],"segmentation":[29,53],"images":[31,56],"captured":[32,57],"VE.":[35],"Class":[36],"maps":[37],"obtained":[38],"are":[39],"then":[40,67,84],"re-projected":[41],"onto":[42],"environment.":[44],"We":[45],"use":[46],"transfer":[47],"learning":[48],"and":[49,63,78],"fine-tune":[50],"a":[51,92],"pretrained":[52],"model":[54],"our":[59],"VEs.":[60],"The":[61],"geometry":[62],"can":[66,83],"be":[68,85],"used":[69],"create":[71],"mappings":[72],"between":[73],"objects":[74],"VE":[77],"acoustic":[79],"absorption":[80],"coefficients.":[81],"input":[86],"for":[87],"physically-based":[88],"audio":[89],"renderers,":[90],"allowing":[91],"significant":[93],"reduction":[94],"manual":[96],"tagging.":[98]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}